From ea2bd0c6ea8d0c8d02d4207e5c6e2773ef9ecc20 Mon Sep 17 00:00:00 2001 From: axiomlogicnexus Date: Thu, 28 May 2026 00:13:47 +0200 Subject: [PATCH] Align later speech row source truth --- ..._SPEECH_ROW_SOURCE_ALIGNMENT_2026-05-28.md | 53 +++++++++++++++++++ ...epo_portfolio_unified_operational_v6_3.csv | 8 +-- docs/repo_portfolio_unified_phase_g_v6_3.csv | 8 +-- ...po_portfolio_unified_source_audit_v6_3.csv | 16 +++--- 4 files changed, 69 insertions(+), 16 deletions(-) create mode 100644 docs/HYPERTWIST_LATER_SPEECH_ROW_SOURCE_ALIGNMENT_2026-05-28.md diff --git a/docs/HYPERTWIST_LATER_SPEECH_ROW_SOURCE_ALIGNMENT_2026-05-28.md b/docs/HYPERTWIST_LATER_SPEECH_ROW_SOURCE_ALIGNMENT_2026-05-28.md new file mode 100644 index 0000000..374dde1 --- /dev/null +++ b/docs/HYPERTWIST_LATER_SPEECH_ROW_SOURCE_ALIGNMENT_2026-05-28.md @@ -0,0 +1,53 @@ +# HyperTwist Later Speech Row Source Alignment - 2026-05-28 + +## Status + +This document closes the row-source truth gap for the later landed speech rows +that sit outside the original `71`-row shallow-eval board but are already live +in the broader current HyperTwist repo-row source-truth pack. + +## Affected rows + +- `ggml-org/whisper.cpp` +- `SYSTRAN/faster-whisper` +- `rhasspy/piper` +- `coqui-ai/TTS` + +## Current judgment + +- these rows are already landed for their current bounded speech slices +- the stale layer was the operational, `Phase G`, and source-audit wording + still framing them as donor candidates +- no product code change is justified from this pass +- no roadmap routing changed from this pass + +## Required row-source posture + +For these rows the source pack must now say: + +- `ggml-org/whisper.cpp` is already landed for the bounded native speech + session, microphone shell, permission-readiness, and payload-custody lane +- `SYSTRAN/faster-whisper` is already landed for the complementary Python + transcription-orchestration sidecar above the native speech-session boundary +- `rhasspy/piper` is already landed for the bounded local narration sidecar + lane +- `coqui-ai/TTS` is already landed for the bounded advanced narration + orchestration lane under the current `MPL` and payload-review boundary +- future work starts from owned HyperTwist surfaces and landed packet authority, + not donor promotion or fresh merge routing + +## Source basis + +- `C:\HyperTwist\docs\REPO_LICENSE_TRACKING.md` +- `C:\HyperTwist\docs\v6_5_deep_manual_pack\HyperTwist\FEATURE_REGISTRY.md` +- landed `Phase 6R-E/F/G/H/U/V/W` packet corpus +- `C:\HyperTwist\docs\repo_portfolio_unified_operational_v6_3.csv` +- `C:\HyperTwist\docs\repo_portfolio_unified_phase_g_v6_3.csv` +- `C:\HyperTwist\docs\repo_portfolio_unified_source_audit_v6_3.csv` + +## Final call + +These rows are not future donor candidates anymore. + +They are already integrated for their current justified speech slices, and the +row-source pack must now describe them that way. diff --git a/docs/repo_portfolio_unified_operational_v6_3.csv b/docs/repo_portfolio_unified_operational_v6_3.csv index 996088b..d8121aa 100644 --- a/docs/repo_portfolio_unified_operational_v6_3.csv +++ b/docs/repo_portfolio_unified_operational_v6_3.csv @@ -1,15 +1,15 @@ "execution_queue_order","repo","primary_url","best_fit_project_v2","project_rank","portfolio_priority_score","execution_priority_score_v3","priority_band","taxonomy_hardened","archetype_primary","archetype_secondary","portfolio_role_v3","recommended_action_v2","repurposing_potential_v2","modification_scope_detail_v3","capability_extract","integration_realization_detail","consolidation_detail","repurpose_detail","realization_checklist","inspection_depth_recommendation","hidden_value_hypothesis","source_inspection_questions","source_code_audit_targets","coding_model_instruction_v3","merger_partner_1","merger_type_1","merger_rationale_1","merger_partner_2","merger_type_2","merger_rationale_2","merger_partner_3","merger_type_3","merger_rationale_3","cross_project_transfer_targets","cross_project_transfer_rationale","exclusion_discipline","exclusion_reasoning_v3","confidence_v3","confidence_rationale_v3","confidence_reassessed","confidence_rationale","licensing_filter_status","bookmark_project_sections","bookmark_heading_paths_top","bookmark_description_sample","memo_signal_sample","expanded_reasoning","source_attachments","in_bookmarks","in_memo","bookmark_occurrences","memo_mentions","cluster_tag","source_audit_packet_id","category_guess_v2","reasoning","best_fit_project","category_guess","recommended_action","repurposing_potential","confidence","_repo_norm","v5_primary_eval_project","v5_runtime_project","v5_scriptorium_override_status","v5_scriptorium_current_reality_status","v5_scriptorium_bucket","v5_scriptorium_stack_layer","v5_scriptorium_source_audit_priority","v5_scriptorium_actual_role","v5_scriptorium_integration_boundary","v5_scriptorium_evidence_summary","v5_scriptorium_design_language_notes","v5_scriptorium_recommended_context_packet","v5_scriptorium_supersedes_prior_assessment","v5_scriptorium_bucket_rank","v5_scriptorium_prio_rank","v5_scriptorium_sort_score","v5_source_of_truth","v6_license_annotation","v6_license_annotation_status","v6_license_annotation_source","v6_supplemental_intake_present","v6_supplemental_source_groups","v6_supplemental_source_sections","v6_supplemental_source_files","v6_reference_material_position","v6_kali_agent_access_relevance","v6_branch_seed_prompt_included","v6_branch_seed_scope","v6_intake_wave","v6_notes","project_rank_num","audit_rank_num","priority_num","phase_g_bucket","phase_g_project_stack_layer","phase_g_inclusion_status","phase_g_source_audit_priority","copyleft_relevance_v6_1","copyleft_strategy_v6_1","copyleft_rationale_v6_1","preferred_boundary_model_v6_1","open_compliance_if_used_as_is_v6_1","reverse_engineer_if_proprietary_core_needed_v6_1","copyleft_strategy_confidence_v6_1","copyleft_manual_review_trigger_v6_1","as_is_incorporation_sensible_v6_1","v6_2_sre_layer","v6_2_sre_stratum","v6_2_sre_role","v6_2_sre_family","v6_2_related_kali_package","v6_2_related_upstream_repo","v6_2_kali_package_suffices_for_tool_execution","v6_2_upstream_repo_preferred_for_deep_eval","v6_2_index_page_followup_useful","v6_2_index_page_followup_reason","v6_2_sre_notes","v6_2_dnspy_ilspy_relevance","v6_3_source_of_truth","v6_3_merge_note","v6_3_live_state_2026_05_11","v6_3_reset_lane_2026_05_11","v6_3_reset_next_step_2026_05_11" "7701","HactarCE/Hyperspeedcube","https://github.com/HactarCE/Hyperspeedcube","HyperTwist","1.0","160.0","193.0","A","implemented hyper puzzle catalog and runtime owner","implemented owner","hypercubing foundation owner","landed foundation owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed hyper puzzle catalog, notation, replay-log serialization, replay verification, stats-shape, solve-record, and puzzle-DSL authoring boundaries, and widen only through owned HyperTwist work.","Landed owner value: hyper puzzle catalog, notation, replay-log serialization, replay verification, stats-shape, solve-record, and puzzle-DSL authoring boundaries already live in first-party HyperTwist code.","Preserve as the landed first-party hyper owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-A/K/L/M/N packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner. Keep MagicTile, Magic120Cell, MagicCube5D, and retained benchmark rows as adjacent families or references, not donor merge targets for the already landed slice.","Repurpose here means: ordinary owned enhancement of the landed hyper owner lane, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing hyper catalog, notation, replay, stats, and DSL contracts; keep notices and attribution visible","live owner boundary review","Remaining value is in already-landed owner boundaries and future owned widening targets, not donor extraction.","Which remaining hyper owner gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-A/K/L/M/N packets?","Inspect current first-party owner boundaries, landed packet scope, retained adjacent hyper/runtime families, and unresolved owned widening targets only.","Audit HactarCE/Hyperspeedcube only as an already-landed permissive owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 6","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","HactarCE/Hyperspeedcube - landed first-party hyper owner lane; future work starts from owned HyperTwist surfaces and landed packets.","HactarCE/Hyperspeedcube is already landed for its current justified hyper puzzle catalog, notation, replay, stats, and DSL slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","6.0","HT_hyper_engine","HT_hyper_engine_0001","Implemented hyper puzzle catalog and runtime owner","Landed hyper owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","HyperTwist","Implemented hyper puzzle catalog and runtime owner","integrate","direct","medium","hactarce/hyperspeedcube","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","Existing v5 row reaffirmed or widened by v6 supplemental intake.","1.0","5","160.0","","Implemented hyper owner lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Already landed: start from first-party owner surfaces and landed packet authority, not donor-transfer framing.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Later Phase 6R-A/K/L/M/N preserve sequence closed. Preserve as the landed first-party hyper puzzle catalog, notation, replay-log serialization, replay verification, stats-shape, solve-record, and puzzle-DSL authoring lane; start future widening from ROADMAP.md, FEATURE_REGISTRY.md, REPO_LICENSE_TRACKING.md, and the repo-specific landed Phase 6R packets, not from the old candidate queue wording." -"7704","SYSTRAN/faster-whisper","https://github.com/SYSTRAN/faster-whisper","multi-project","1.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving parsers/graph schema/indexing while swapping layout, storage, or UX layers.","huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT.","Repurpose selected subsystems rather than the whole product. Mine the repo for VAD-aware segmentation, batch transcription, timestamps, hotword and prefix conditioning, and Python service ergonomics; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: ggml-org/whisper.cpp, rhasspy/piper, coqui-ai/TTS.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a Python STT service, timestamped speech pipeline, or batch transcription donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Normalize graph schema; Decouple parser/indexer from UI; Expose query and layout services","deep source audit","Hidden value may sit in AST/indexing pipelines, call/dependency graph schema, incremental refresh, layout heuristics, graph query APIs, and serialization formats that can be lifted into VectorShell.","Inspect transcription API and dataclasses; batched inference; VAD chunking; word timestamps; hotwords and prefix conditioning; service-layer boundaries; benchmark and test coverage.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, benchmark scripts, and hidden experimental modules. Look for VAD, batch inference, timestamps, hotwords, model/runtime constraints, and service-layer boundaries.","Audit SYSTRAN/faster-whisper as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: transcription API and dataclasses, batched inference, VAD chunking, word timestamps, hotwords and prefix conditioning, service-layer boundaries, and benchmark/test coverage. Decide whether it should remain the primary Python STT donor and what should stay behind a bounded Python service seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/benchmarks, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","project-local first","Cross-project transfer is possible, but the value is clearest inside the assigned project until source audit exposes more reusable primitives.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT.","SYSTRAN/faster-whisper is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT. The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0001","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is a bounded Python STT donor and service-layer candidate, not an exclusion-only adjunct.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","systran/faster-whisper","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","1.0","5","71.0","","","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. Treat it as a bounded Python STT donor/service candidate; review chosen model checkpoints separately, but no clean-room path is required by default.","Use directly as a bounded Python STT service or adapter layer; keep model/runtime selection and deployment behind a speech-input seam.","Typically preserve notices, attribution, and license text where required; review selected model checkpoints separately from the code license.","Usually unnecessary unless you later decide to replace a narrow hot path or remove Python/CTranslate2 dependencies.","high","model-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-F is closed. Preserve as the landed complementary Python transcription-orchestration lane above the existing speech session boundary; do not widen it into top-level provider/session ownership." +"7704","SYSTRAN/faster-whisper","https://github.com/SYSTRAN/faster-whisper","multi-project","1.0","71.0","80.0","C","implemented Python transcription orchestration sidecar","implemented owner","transcription orchestration sidecar","landed bounded speech sidecar owner","integrate","direct","This row is already live for its current justified slice. Preserve the landed complementary Python transcription-orchestration sidecar above the native speech-session boundary, and widen only through owned HyperTwist work.","Landed owner value: complementary Python transcription orchestration, VAD-aware chunking, timestamps, and bounded service-layer integration already live in first-party HyperTwist code.","Preserve as the landed first-party complementary Python transcription sidecar lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-F packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed Python transcription sidecar slice. Keep whisper.cpp as the harder native speech anchor, not a donor merge target for the already landed orchestration slice.","Repurpose here means: ordinary owned enhancement of the landed Python transcription sidecar, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing Python transcription orchestration, timestamps, and service-boundary contracts; keep notices and model-review boundaries visible","live owner boundary review","Remaining value is in already-landed sidecar boundaries and future owned widening targets, not donor extraction.","Which remaining Python transcription-orchestration gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-F packet?","Inspect current first-party Python transcription-orchestration sidecar boundary plus unresolved owned widening targets only.","Audit SYSTRAN/faster-whisper only as an already-landed permissive speech sidecar lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded Python transcription sidecar slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed speech-sidecar fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT.","SYSTRAN/faster-whisper is already landed for its current justified complementary Python transcription-orchestration slice above the native speech-session boundary. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0001","Implemented Python transcription orchestration sidecar","Landed complementary Python transcription sidecar for HyperTwist; validate boundaries and widen only through owned first-party work.","future/adjacent use","Implemented Python transcription orchestration sidecar","repurpose","moderate modification","medium","systran/faster-whisper","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","1.0","5","71.0","","Implemented Python transcription orchestration sidecar lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified Python transcription-orchestration slice is already implemented in first-party HyperTwist code. Keep model and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party Python transcription sidecar surfaces plus landed packet authority, and do not widen it into top-level provider or session ownership by default.","Typically preserve notices, attribution, and license text where required; review selected model checkpoints separately from the code license.","Usually unnecessary unless you later decide to replace a narrow hot path or remove Python/CTranslate2 dependencies.","high","implemented-model-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-F is closed. Preserve as the landed complementary Python transcription-orchestration lane above the existing speech session boundary; do not widen it into top-level provider/session ownership." "7705","cubing/alg.js","https://github.com/cubing/alg.js","HyperTwist","2.0","95.0","95.0","P0","puzzle_simulation_training_donor","puzzle_simulation_training_donor","geometry_renderer_or_binding","donor bench","repurpose","architecture only","Moderate modification. Treat cubing/alg.js as a family-level donor for HyperTwist: extract the implementation layer that matches its strongest domain contribution, preserve its protocols/data models/CLI or renderer boundaries, and adapt only the surface integration needed for HyperTwist rather than rewriting it wholesale.","HyperTwist family. Likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or XR/game-engine surfaces relevant to hypercube and cube-training workflows.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","Verify actual capability surface, identify reusable subsystems, confirm integration boundary, test output formats, and decide whether promotion or demotion is justified after source inspection.","P0 tier audit. Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","cubing/alg.js may hide higher-value reusable components in its cubing family than its surface framing suggests; inspect internals before treating it as merely a category duplicate.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect cubing/alg.js at source level. Extract actual implemented capabilities, hidden modules, extension hooks, data models, and output contracts. Re-rank only if source evidence materially changes its donor/foundation potential for HyperTwist.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use cubing/alg.js as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use cubing/alg.js as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use cubing/alg.js as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Source audit may reveal reusable abstractions that travel beyond the initially assigned project, especially in control-plane, visualization, renderer, or document/AI pipeline layers.","Do not omit for licensing. Exclude only from current horizon if source audit shows it is purely documentation, governance, packaging noise, or a weak duplicate with no meaningful reusable subsystem.","Current placement is preliminary and based on family fit, repo naming, and source grouping rather than source code inspection.","medium","Pre-source-audit supplemental intake classification derived from source group, owner family, project fit, and project-wide design language.","medium","Will increase only after direct source inspection.","Licensing intentionally ignored as a decision filter per canonical directive; license is tracked separately only for optional review and packaging choices.","HyperTwist","HyperTwist","","Supplemental intake row added from v6 source-group expansion; reference docs may further inform merger logic.","cubing/alg.js enters the corpus through the v6 supplemental intake. It is treated as donor bench for HyperTwist because its family suggests value in hypertwist family. likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or xr/game-engine surfaces relevant to hypercube and cube-training workflows. Its current judgment is intentionally provisional and should be upgraded or downgraded only after direct source inspection.","HyperTwist & ScriptoriumAI.txt","0","0","1.0","0.0","HT_cube_semantics","HT_cube_semantics_0002","puzzle_simulation_training_donor","Supplemental v6 intake from hypertwist_and_scriptoriumai; preliminary classification only.","HyperTwist","puzzle_simulation_training_donor","donor candidate","moderate modification","medium","cubing/alg.js","HyperTwist","supplemental_v6_not_runtime_anchored","","","","","","","","","","","no","","","","v6_unified_source_of_truth","GPL-3.0-or-later","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references and prior Grok/initial-research docs used as reference, not as source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v6_supplemental_intake","New row created from supplemental intake (POO/Security/Agent/HyperTwist-ScriptoriumAI/Kali/Consider II).","2.0","1","95.0","Donor Bench","Focused restrictive clean-room donor target","","P2","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0-or-later and should remain a focused clean-room donor lane rather than direct donor code. Preserve the parser/AST/traversal semantics through a scrubbed Model A handoff only.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — preferred path for reproducing parser/AST/traversal semantics in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party algorithm-language owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." "7707","cubing/twisty.js","https://github.com/cubing/twisty.js","HyperTwist","2.0","95.0","95.0","P0","puzzle_simulation_training_donor","puzzle_simulation_training_donor","geometry_renderer_or_binding","donor bench","repurpose","architecture only","Moderate modification. Treat cubing/twisty.js as a family-level donor for HyperTwist: extract the implementation layer that matches its strongest domain contribution, preserve its protocols/data models/CLI or renderer boundaries, and adapt only the surface integration needed for HyperTwist rather than rewriting it wholesale.","HyperTwist family. Likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or XR/game-engine surfaces relevant to hypercube and cube-training workflows.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","Verify actual capability surface, identify reusable subsystems, confirm integration boundary, test output formats, and decide whether promotion or demotion is justified after source inspection.","P0 tier audit. Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","cubing/twisty.js may hide higher-value reusable components in its cubing family than its surface framing suggests; inspect internals before treating it as merely a category duplicate.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect cubing/twisty.js at source level. Extract actual implemented capabilities, hidden modules, extension hooks, data models, and output contracts. Re-rank only if source evidence materially changes its donor/foundation potential for HyperTwist.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use cubing/twisty.js as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use cubing/twisty.js as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use cubing/twisty.js as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Source audit may reveal reusable abstractions that travel beyond the initially assigned project, especially in control-plane, visualization, renderer, or document/AI pipeline layers.","Do not omit for licensing. Exclude only from current horizon if source audit shows it is purely documentation, governance, packaging noise, or a weak duplicate with no meaningful reusable subsystem.","Current placement is preliminary and based on family fit, repo naming, and source grouping rather than source code inspection.","medium","Pre-source-audit supplemental intake classification derived from source group, owner family, project fit, and project-wide design language.","medium","Will increase only after direct source inspection.","Licensing intentionally ignored as a decision filter per canonical directive; license is tracked separately only for optional review and packaging choices.","HyperTwist","HyperTwist","","Supplemental intake row added from v6 source-group expansion; reference docs may further inform merger logic.","cubing/twisty.js enters the corpus through the v6 supplemental intake. It is treated as donor bench for HyperTwist because its family suggests value in hypertwist family. likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or xr/game-engine surfaces relevant to hypercube and cube-training workflows. Its current judgment is intentionally provisional and should be upgraded or downgraded only after direct source inspection.","HyperTwist & ScriptoriumAI.txt","0","0","1.0","0.0","HT_cube_semantics","HT_cube_semantics_0003","puzzle_simulation_training_donor","Supplemental v6 intake from hypertwist_and_scriptoriumai; preliminary classification only.","HyperTwist","puzzle_simulation_training_donor","donor candidate","moderate modification","medium","cubing/twisty.js","HyperTwist","supplemental_v6_not_runtime_anchored","","","","","","","","","","","no","","","","v6_unified_source_of_truth","GPL-3.0-or-later","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references and prior Grok/initial-research docs used as reference, not as source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v6_supplemental_intake","New row created from supplemental intake (POO/Security/Agent/HyperTwist-ScriptoriumAI/Kali/Consider II).","2.0","1","95.0","Donor Bench","Focused restrictive clean-room donor target","","P2","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0-or-later and should remain a focused clean-room donor lane rather than direct donor code. Preserve viewer/player shell, scrubber, and twisty-element behavior through a scrubbed Model A handoff only.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — preferred path for reproducing compact twisty-viewer behavior in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party replay-player, cursor/timeline transport, adapter/bootstrap, and local visualization owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." "7709","HactarCE/2x2x2x2-Scrambler","https://github.com/HactarCE/2x2x2x2-Scrambler","HyperTwist","2.0","63.0","63.0","P2","puzzle_simulation_training_donor","puzzle_simulation_training_donor","geometry_renderer_or_binding","donor bench","repurpose","architecture only","Architecture only. Treat HactarCE/2x2x2x2-Scrambler as a design and subsystem reference first; source audit should look for transplantable patterns, adapters, data contracts, pipeline ideas, or UI/control abstractions before any decision to operationalize.","HyperTwist family. Likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or XR/game-engine surfaces relevant to hypercube and cube-training workflows.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","Verify actual capability surface, identify reusable subsystems, confirm integration boundary, test output formats, and decide whether promotion or demotion is justified after source inspection.","P2 tier audit. Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","HactarCE/2x2x2x2-Scrambler may hide higher-value reusable components in its HactarCE family than its surface framing suggests; inspect internals before treating it as merely a category duplicate.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect HactarCE/2x2x2x2-Scrambler at source level. Extract actual implemented capabilities, hidden modules, extension hooks, data models, and output contracts. Re-rank only if source evidence materially changes its donor/foundation potential for HyperTwist.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Source audit may reveal reusable abstractions that travel beyond the initially assigned project, especially in control-plane, visualization, renderer, or document/AI pipeline layers.","Do not omit for licensing. Exclude only from current horizon if source audit shows it is purely documentation, governance, packaging noise, or a weak duplicate with no meaningful reusable subsystem.","Current placement is preliminary and based on family fit, repo naming, and source grouping rather than source code inspection.","low-to-medium","Pre-source-audit supplemental intake classification derived from source group, owner family, project fit, and project-wide design language.","low-to-medium","Will increase only after direct source inspection.","Licensing intentionally ignored as a decision filter per canonical directive; license is tracked separately only for optional review and packaging choices.","HyperTwist","HyperTwist","","Supplemental intake row added from v6 source-group expansion; reference docs may further inform merger logic.","HactarCE/2x2x2x2-Scrambler enters the corpus through the v6 supplemental intake. It is treated as reserve bench for HyperTwist because its family suggests value in hypertwist family. likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or xr/game-engine surfaces relevant to hypercube and cube-training workflows. Its current judgment is intentionally provisional and should be upgraded or downgraded only after direct source inspection.","HyperTwist & ScriptoriumAI.txt","0","0","1.0","0.0","HT_cube_semantics","HT_cube_semantics_0004","puzzle_simulation_training_donor","Supplemental v6 intake from hypertwist_and_scriptoriumai; preliminary classification only.","HyperTwist","puzzle_simulation_training_donor","future candidate","architecture only","low-to-medium","hactarce/2x2x2x2-scrambler","HyperTwist","supplemental_v6_not_runtime_anchored","","","","","","","","","","","no","","","","v6_unified_source_of_truth","GPL-3.0","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references and prior Grok/initial-research docs used as reference, not as source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v6_supplemental_intake","New row created from supplemental intake (POO/Security/Agent/HyperTwist-ScriptoriumAI/Kali/Consider II).","2.0","3","63.0","Donor Bench","Focused restrictive clean-room donor target","","P2","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0 and the source explicitly notes a ported lineage from an earlier scrambler. Retain it only as a focused clean-room donor target and implement any valuable behavior through a scrubbed first-party specification.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — this is the preferred path for reproducing the 2x2x2x2 scrambler/state behaviors in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party Melinda state legality, random-state generation, move-family application, scramble-packet, and flat debug/teaching owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." "7814","kkoomen/qbr","https://github.com/kkoomen/qbr","HyperTwist","2.0","158.0","191.0","A","implemented recognition calibration and webcam shell owner","implemented owner","recognition and webcam shell owner","landed foundation owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed recognition calibration, ordered face-observation, and webcam-shell boundaries, and widen only through owned HyperTwist work while keeping deferred multilingual and broader solve-shell ownership explicit.","Landed owner value: recognition calibration, ordered face observation, webcam shell profile, bounded overlay panels, and recognition intake already live in first-party HyperTwist code.","Preserve as the landed first-party recognition calibration and webcam-shell owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-B/O packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner. Keep rubix-cube-solver, the retained recognition-comparison adjunct rows, and the multilingual guidance remainder as adjacent retained or deferred families, not donor merge targets for the already landed slice.","Repurpose here means: ordinary owned enhancement of the landed recognition and webcam-shell owner lane, not external donor harvesting.","Validate current first-party recognition and webcam-shell owner boundaries; identify narrower owned widening targets only if needed; preserve calibration, ordered observation, correction-stack, and webcam-shell contracts; keep notices and attribution visible","live owner boundary review","Remaining value is in already-landed recognition owner boundaries and future owned widening targets, not donor extraction.","Which remaining recognition or webcam-shell gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-B/O packets?","Inspect current first-party recognition owner boundaries, landed packet scope, retained adjacent recognition rows, and unresolved owned widening targets only.","Audit kkoomen/qbr only as an already-landed permissive owner lane for HyperTwist. Validate current recognition and webcam-shell owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 5","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","kkoomen/qbr - landed first-party recognition calibration and webcam-shell owner lane; future work starts from owned HyperTwist surfaces and landed packets.","kkoomen/qbr is already landed for its current justified recognition calibration, ordered face-observation, and webcam-shell slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","5.0","HT_cube_vision","HT_cube_vision_0001","Implemented recognition calibration and webcam shell owner","Landed recognition and webcam-shell owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","HyperTwist","Implemented recognition calibration and webcam shell owner","integrate","heavy modification","medium","kkoomen/qbr","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","2.0","5","158.0","","Implemented recognition and webcam-shell owner lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Already landed: start from first-party owner surfaces and landed packet authority, not donor-transfer framing.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Later Phase 6R-B/O preserve sequence closed for the currently justified slice. Preserve as the landed first-party recognition calibration, ordered face-observation, and webcam-shell lane; start future widening from ROADMAP.md, FEATURE_REGISTRY.md, REPO_LICENSE_TRACKING.md, and the repo-specific landed Phase 6R packets, while keeping multilingual/font redistribution and broader solve-shell ownership deferred." -"7818","coqui-ai/TTS","https://github.com/coqui-ai/TTS","multi-project","2.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","https://github.com/coqui-ai/TTS – Coqui XTTS v2.","Repurpose selected subsystems rather than the whole product. Mine the repo for synthesis orchestration, multilingual and speaker handling, local service wrappers, voice-conversion paths, and model-registry/license handling; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: rhasspy/piper, ggml-org/whisper.cpp, SYSTRAN/faster-whisper.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a bounded voice-service seam, coach narration donor, or multilingual TTS and cloning donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Isolate streaming/audio pipeline; Normalize command schema; Add local/offline fallback layer","deep source audit","Hidden value often lives in streaming segmentation, VAD, device abstraction, latency mitigation, translation chains, and local/offline fallback paths.","Inspect public API, synthesis and orchestration spine, server boundary, multilingual and speaker handling, XTTS path, model registry and license metadata, and optional voice conversion.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, model registry files, and hidden experimental modules. Look for synthesis orchestration, sentence splitting, multilingual and speaker handling, voice conversion, server deployment patterns, and model-license metadata.","Audit coqui-ai/TTS as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: public API surface, synthesis/orchestration spine, server boundary, multilingual and speaker handling, XTTS path, model registry and license metadata, and optional voice conversion. Decide whether it should remain the strongest voice/coaching donor and what should stay behind a bounded voice-service seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/fixtures, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","https://github.com/coqui-ai/TTS – Coqui XTTS v2.","coqui-ai/TTS is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: https://github.com/coqui-ai/TTS – Coqui XTTS v2. The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0002","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is the richest current voice-output and coaching donor, but it should stay behind a bounded voice-service seam because code and model payload licensing diverge.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","coqui-ai/tts","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MPL-2.0 code; mixed model payload licenses","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","2.0","5","71.0","","","","","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","Code is usable under MPL-2.0, but selected model weights carry mixed per-model licenses and some require separate terms. Keep the repo behind a bounded voice-service seam and decide model adoption case by case rather than treating it as a blanket permissive dependency.","Use the code behind a bounded voice-service seam; select model weights individually and keep model-license decisions separate from code adoption.","Preserve MPL notices and file-level obligations where applicable, and review each chosen model license or ToS separately before shipping.","Sometimes useful only if you later need a fully proprietary embedded voice stack or want to avoid model-license entanglement; not the default path.","medium","model-license-selection-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 6R-H is closed. Preserve as the landed bounded advanced narration orchestration lane under the current MPL boundary doctrine; keep model, voice, and payload review separate from the code-license judgment." +"7818","coqui-ai/TTS","https://github.com/coqui-ai/TTS","multi-project","2.0","71.0","80.0","C","implemented advanced narration orchestration owner","implemented owner","advanced narration orchestration sidecar","landed bounded narration owner","integrate","direct","This row is already live for its current justified slice. Preserve the landed advanced narration orchestration lane under the current MPL and payload-review boundary, and widen only through owned HyperTwist work.","Landed owner value: advanced narration orchestration, multilingual and speaker handling, richer voice-service composition, and bounded coaching-output behavior already live in first-party HyperTwist code.","Preserve as the landed first-party advanced narration orchestration lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-H packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed advanced narration orchestration slice. Keep broad voice-model, payload, and cloning review separate from the already landed code-side lane.","Repurpose here means: ordinary owned enhancement of the landed advanced narration orchestration lane, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing advanced narration, multilingual/speaker, and bounded voice-service contracts; keep MPL and payload-review boundaries visible","live owner boundary review","Remaining value is in already-landed owner boundaries and future owned widening targets, not donor extraction.","Which remaining advanced narration orchestration gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-H packet?","Inspect current first-party advanced narration orchestration boundary plus unresolved owned widening targets only.","Audit coqui-ai/TTS only as an already-landed boundary-sensitive narration owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded advanced narration orchestration slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed boundary-sensitive narration fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","https://github.com/coqui-ai/TTS – Coqui XTTS v2.","coqui-ai/TTS is already landed for its current justified advanced narration orchestration slice under the current MPL and payload-review boundary. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0002","Implemented advanced narration orchestration owner","Landed advanced narration orchestration lane for HyperTwist; validate boundaries and widen only through owned first-party work under the current MPL and payload-review boundary.","future/adjacent use","Implemented advanced narration orchestration owner","repurpose","moderate modification","medium","coqui-ai/tts","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MPL-2.0 code; mixed model payload licenses","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","2.0","5","71.0","","Implemented advanced narration orchestration lane","","","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","The code boundary is MPL and the current justified advanced narration slice is already implemented in first-party HyperTwist code. Keep model, voice, and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party advanced narration owner surfaces plus landed packet authority, and keep model and payload review explicitly separate.","Preserve MPL notices and file-level obligations where applicable, and review each chosen model license or ToS separately before shipping.","Sometimes useful only if you later need a fully proprietary embedded voice stack or want to avoid model-license entanglement; not the default path.","medium","implemented-model-license-selection-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 6R-H is closed. Preserve as the landed bounded advanced narration orchestration lane under the current MPL boundary doctrine; keep model, voice, and payload review separate from the code-license judgment." "8543","vivaansinghvi07/rubix-cube-solver","https://github.com/vivaansinghvi07/rubix-cube-solver","HyperTwist","3.0","158.0","191.0","A","vision / perception / AR","foundation engine","vision donor","locked core candidate","integrate","direct","Keep the core engine or major subsystem mostly intact; change wrappers, branding, storage/auth, and integration seams so it becomes a first-class part of the target stack. For this repo class, that usually means preserving calibration/detection/state-reconstruction logic while replacing camera UX and integration surfaces.","Yes — 100% possible to consolidate everything into one no-compromises, enterprise-grade platform. You're not half-arsing it, and neither am I. Modern vision models (and even classical OpenCV pipelines refined over the last decade) are mo...","Integrate as a computer vision / AR subsystem for HyperTwist. Preserve the strongest existing pieces — camera ingest, calibration, segmentation/detection, pose or facelet extraction, state normalization, solver bridge, replay overlay, AR anchors — and expose them behind a portfolio-stable interface. Wire first into kkoomen/qbr, then into cubing/cubing.js for orchestration, visualization, or data exchange.","Consolidate under the Hyperspeedcube + cubing.js + qbr nucleus, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: kkoomen/qbr, cubing/cubing.js, HactarCE/Hyperspeedcube.","Repurpose here means: turn it into a perception microservice, cube-state API, replay generator, or AR overlay donor for HyperTwist.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Benchmark calibration pipeline; Extract state reconstruction; Wrap with camera/AR adapter","full subsystem extraction review","Hidden value often sits in calibration, preprocessing, stabilization, object/state reconstruction, replay artifacts, and camera-to-domain state pipelines that are not obvious from demos.","Inspect preprocessing/calibration; tracking stabilization; state reconstruction; replay/event model; camera abstraction; fallback heuristics; testing assets/videos; performance shortcuts.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, config files, migrations/schemas, and hidden feature flags or experimental modules. Look for calibration routines, detection heuristics/models, color/state normalization, replay serialization, solver bridges, camera abstraction layers, and debug visualizations.","Audit vivaansinghvi07/rubix-cube-solver as a vision / perception / AR candidate for HyperTwist. Do not stop at README-level features. Inspect: Inspect preprocessing/calibration; tracking stabilization; state reconstruction; replay/event model; camera abstraction; fallback heuristics; testing assets/videos; performance shortcuts. Decide whether the best extraction path is direct and whether it belongs as foundation engine / vision donor. Test the three merger paths in order: 1) kkoomen/qbr [foundation + perception donor]; 2) cubing/cubing.js [state/render backend]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, plugin hooks, render/state models, datasets/test fixtures, and any subsystem stronger than the visible product shell.","kkoomen/qbr","foundation + perception donor","Use this repo against the partner as an augmenting layer; preserve the partner as the likely base and mine this repo for capabilities that improve breadth, UX, or specialization.","cubing/cubing.js","state/render backend","Use the partner for canonical state or rendering abstractions and merge this repo's specialized logic on top.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | ScriptoriumAI","VectorShell can borrow spatial/rendering and perception primitives; ScriptoriumAI can borrow tutorial/educational visualization patterns rather than the full engine.","do not exclude","Keep in active merge-set and force full source audit before any demotion.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 10","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","Yes — 100% possible to consolidate everything into one no-compromises, enterprise-grade platform. You're not half-arsing it, and neither am I. Modern vision models (and even classical OpenCV pipelines refined over the last decade) are more than accurate enough in 2026 for reliable small-square/facelet color recognition on a standard 3x3 (or larger) Rubik's Cube under normal lighting. Production examples prove it:Multiple MIT-licensed projects (qb","vivaansinghvi07/rubix-cube-solver is treated as integrate for HyperTwist because current dossier work keeps it in the committed vision path as the strongest reconstruction and replay-oriented companion to qbr rather than as a generic donor.","memo","False","True","0.0","10.0","HT_cube_vision","HT_cube_vision_0002","computer vision / AR","Integrate primarily for HyperTwist. Its memo and bookmark signals place it in the computer vision / AR layer.","HyperTwist","computer vision / AR","integrate","heavy modification","medium","vivaansinghvi07/rubix-cube-solver","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","3.0","5","158.0","Locked Parallel Foundation","Parallel foundation and reconstruction companion donor","","","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Direct embed, vendored module, package dependency, or tightly integrated adapter as the architecture requires.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Normalized legacy wording to dossier-backed parallel-foundation posture on 2026-04-25.","implemented_live_permissive","landed_permissive_preserve","Later Phase 6R-C/P/Q preserve sequence closed for the currently justified slice. Preserve as the landed first-party committed-face reconstruction, browser/webcam shell, and bounded solve-explanation/recommendation lane; start future widening from ROADMAP.md, FEATURE_REGISTRY.md, REPO_LICENSE_TRACKING.md, and the repo-specific landed Phase 6R packets, while broad solver-backend ownership and bundled twistysim.min.js redistribution stay deferred." -"8547","ggml-org/whisper.cpp","https://github.com/ggml-org/whisper.cpp","multi-project","3.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT.","Repurpose selected subsystems rather than the whole product. Mine the repo for native STT runtime seams, VAD, grammar-constrained decoding, segmented speech capture, and server-side deployment patterns; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: SYSTRAN/faster-whisper, rhasspy/piper, coqui-ai/TTS.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into an offline STT sidecar, grammar-constrained command surface, or native speech-input donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Isolate streaming/audio pipeline; Normalize command schema; Add local/offline fallback layer","deep source audit","Hidden value often lives in streaming segmentation, VAD, device abstraction, latency mitigation, translation chains, and local/offline fallback paths.","Inspect C/C++ API surface; VAD path; grammar-constrained decoding; server/runtime examples; model loading and portability seams; tests and benchmarks.","Inspect package manifests, README/docs, src/include tree, examples, tests, CI workflows, build configs, model tooling, and hidden experimental modules. Look for VAD, grammar support, streaming/segmentation, server boundaries, device/runtime abstraction, and performance shortcuts.","Audit ggml-org/whisper.cpp as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: C/C++ API surface, VAD, grammar-constrained decoding, server/runtime examples, model loading and portability seams, and benchmark/test coverage. Decide whether it should remain the primary offline STT sidecar candidate and what should stay behind a bounded native seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/benchmarks, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT.","ggml-org/whisper.cpp is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: 7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT. The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0003","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is a bounded speech-input donor and offline/native STT sidecar candidate, not an exclusion-only adjunct.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","ggml-org/whisper.cpp","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","3.0","5","71.0","","","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. This repo is best used as a bounded offline STT sidecar or native speech-input seam; no clean-room path is required by default.","Use directly as a bounded native STT sidecar or library adapter; keep grammar, VAD, and model/runtime choices behind a speech-input seam.","Typically preserve notices, attribution, and license text where required; review selected model files or distributions separately from the code license.","Usually unnecessary unless you later choose to replace a narrow hot path or fully internalize the runtime.","high","model-artifact-review-recommended","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-E, Phase 6R-U, Phase 6R-V, and Phase 6R-W are closed. Preserve as the landed bounded native speech-session, microphone-shell, permission-readiness, and payload-custody lane; keep broader payload shipping and model-license review separate." +"8547","ggml-org/whisper.cpp","https://github.com/ggml-org/whisper.cpp","multi-project","3.0","71.0","80.0","C","implemented native speech session and shell owner","implemented owner","native speech and shell owner","landed bounded speech-input owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed native speech-session boundary, live microphone shell, permission-readiness shell, and payload-custody boundary, and widen only through owned HyperTwist work.","Landed owner value: native speech-session, microphone shell, permission-readiness, and payload-custody boundaries already live in first-party HyperTwist code.","Preserve as the landed first-party native speech-input owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-E/U/V/W packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed native speech session and shell slices. Keep faster-whisper as the complementary Python transcription sidecar and piper/coqui as narration-side sidecars, not donor merge targets for the already landed native speech slice.","Repurpose here means: ordinary owned enhancement of the landed native speech-input owner lane, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing native speech-session, microphone shell, readiness, and payload-custody contracts; keep notices and model-review boundaries visible","live owner boundary review","Remaining value is in already-landed owner boundaries and future owned widening targets, not donor extraction.","Which remaining native speech-session, microphone-shell, permission-readiness, or payload-custody gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-E/U/V/W packets?","Inspect current first-party native speech-session, microphone shell, readiness shell, and payload-custody boundaries plus unresolved owned widening targets only.","Audit ggml-org/whisper.cpp only as an already-landed permissive speech owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded native speech session and shell slices. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed speech-owner fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT.","ggml-org/whisper.cpp is already landed for its current justified native speech-session, microphone-shell, permission-readiness, and payload-custody slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0003","Implemented native speech session and shell owner","Landed native speech session and shell owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","future/adjacent use","Implemented native speech session and shell owner","repurpose","moderate modification","medium","ggml-org/whisper.cpp","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","3.0","5","71.0","","Implemented native speech session and shell owner lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified native speech-session and shell slice is already implemented in first-party HyperTwist code. Keep model and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party native speech owner surfaces plus landed packet authority, and keep broader payload review separate.","Typically preserve notices, attribution, and license text where required; review selected model files or distributions separately from the code license.","Usually unnecessary unless you later choose to replace a narrow hot path or fully internalize the runtime.","high","implemented-model-artifact-review-recommended","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-E, Phase 6R-U, Phase 6R-V, and Phase 6R-W are closed. Preserve as the landed bounded native speech-session, microphone-shell, permission-readiness, and payload-custody lane; keep broader payload shipping and model-license review separate." "11766","tao-yu/Alg-Trainer","https://github.com/tao-yu/Alg-Trainer","HyperTwist","4.0","156.0","189.0","A","implemented algorithm-training foundation owner","implemented owner","training foundation owner","landed foundation owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed broad algorithm-training shell, set or subset corpus, timer or reveal or scramble or virtual-cube flow, and smartcube-capable drill posture, and widen only through owned HyperTwist work.","Landed owner value: broad algorithm-training shell, set or subset corpus, timer or reveal or scramble or virtual-cube flow, and smartcube-capable drill posture already live in first-party HyperTwist code.","Preserve as the landed first-party algorithm-training foundation owner lane. Start any future widening from owned HyperTwist surfaces, the live training stack, FEATURE_REGISTRY, ROADMAP, and REPO_LICENSE_TRACKING; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner. Keep cube_trainer as the adjacent persisted-coaching owner, KubeTimr as the timer substrate owner, and cross-planning or micro-drill lanes as narrower adjacent families rather than donor merge targets for the already landed slice.","Repurpose here means: ordinary owned enhancement of the landed algorithm-training foundation owner lane, not external donor harvesting.","Validate current first-party training-foundation owner boundaries; identify narrower owned widening targets only if needed; preserve case-corpus, drill-flow, reveal, scramble, and smartcube-capable drill contracts; keep notices and attribution visible","live owner boundary review","Remaining value is in already-landed training-foundation owner boundaries and future owned widening targets, not donor extraction.","Which remaining training-foundation gaps, if any, are not already covered by the landed HyperTwist code and the current Alg-Trainer preserve slice?","Inspect current first-party training-foundation owner boundaries, retained adjacent coaching and timer families, and unresolved owned widening targets only.","Audit tao-yu/Alg-Trainer only as an already-landed permissive owner lane for HyperTwist. Validate current training-foundation owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 5","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","tao-yu/Alg-Trainer - landed first-party algorithm-training foundation owner lane; future work starts from owned HyperTwist surfaces and live training-stack authority.","tao-yu/Alg-Trainer is already landed for its current justified broad algorithm-training shell and case-corpus slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","5.0","HT_training_stack","HT_training_stack_0001","Implemented algorithm-training foundation owner","Landed algorithm-training foundation owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","HyperTwist","Implemented algorithm-training foundation owner","integrate","moderate modification","medium","tao-yu/alg-trainer","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","4.0","5","156.0","","Implemented training foundation owner lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Already landed: start from first-party owner surfaces and landed preserve authority, not donor-transfer framing.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 1R closed. Preserve as a landed first-party permissive lane; keep notices and attribution visible and widen only through ordinary owned enhancement work." -"11769","rhasspy/piper","https://github.com/rhasspy/piper","multi-project","4.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended).","Repurpose selected subsystems rather than the whole product. Mine the repo for lean local TTS runtime, HTTP wrapping, voice loading and download logic, streaming WAV and raw output, and ONNX/eSpeak integration; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: coqui-ai/TTS, ggml-org/whisper.cpp, SYSTRAN/faster-whisper.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a lean offline TTS sidecar or direct local narration donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Isolate streaming/audio pipeline; Normalize command schema; Add local/offline fallback layer","deep source audit","Hidden value often lives in streaming segmentation, VAD, device abstraction, latency mitigation, translation chains, and local/offline fallback paths.","Inspect C++ runtime core; voice loading and download path; streaming output; HTTP service boundary; speaker and phonemization config; selected voice artifact constraints.","Inspect package manifests, README/docs, src tree, examples, tests, build configs, voice catalog files, and hidden runtime switches. Look for ONNX runtime integration, phonemization, lightweight service boundaries, audio streaming, voice acquisition, and deployment constraints.","Audit rhasspy/piper as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: C++ runtime core, voice loading and download path, streaming output, HTTP service boundary, speaker and phonemization config, and selected voice artifact constraints. Decide whether it should remain the lean direct local TTS sidecar candidate and what should stay behind a bounded local voice seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/fixtures, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended).","rhasspy/piper is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended). The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0004","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is a lean local TTS sidecar candidate, not an exclusion-only adjunct.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","rhasspy/piper","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT code; voice artifacts reviewed separately","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","4.0","5","71.0","","","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. The real review point is selected voice artifacts, not the runtime code; keep voice selection separate from code adoption.","Use directly as a bounded local TTS sidecar or simple HTTP service; keep selected voice artifacts under separate review.","Typically preserve notices, attribution, and license text where required; review chosen voices or model cards separately from the code license.","Usually unnecessary unless you later replace the runtime for packaging or architecture reasons.","high","voice-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-G is closed. Preserve as the landed bounded local narration sidecar lane; keep broad voice-model and payload review separate." +"11769","rhasspy/piper","https://github.com/rhasspy/piper","multi-project","4.0","71.0","80.0","C","implemented local narration sidecar owner","implemented owner","local narration sidecar","landed bounded narration sidecar owner","integrate","direct","This row is already live for its current justified slice. Preserve the landed local narration sidecar lane, and widen only through owned HyperTwist work.","Landed owner value: local narration sidecar runtime, voice loading, streaming output, and bounded local voice-service behavior already live in first-party HyperTwist code.","Preserve as the landed first-party local narration sidecar lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-G packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed local narration sidecar slice. Keep coqui-ai/TTS as the richer advanced narration sidecar, not a donor merge target for the already landed local narration slice.","Repurpose here means: ordinary owned enhancement of the landed local narration sidecar, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing local narration, voice-loading, and bounded service contracts; keep notices and voice-artifact review boundaries visible","live owner boundary review","Remaining value is in already-landed sidecar boundaries and future owned widening targets, not donor extraction.","Which remaining local narration sidecar gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-G packet?","Inspect current first-party local narration sidecar boundary plus unresolved owned widening targets only.","Audit rhasspy/piper only as an already-landed permissive narration sidecar lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded local narration sidecar slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed narration-sidecar fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended).","rhasspy/piper is already landed for its current justified local narration sidecar slice. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0004","Implemented local narration sidecar owner","Landed local narration sidecar lane for HyperTwist; validate boundaries and widen only through owned first-party work.","future/adjacent use","Implemented local narration sidecar owner","repurpose","moderate modification","medium","rhasspy/piper","multi-project","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT code; voice artifacts reviewed separately","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","4.0","5","71.0","","Implemented local narration sidecar lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified local narration sidecar slice is already implemented in first-party HyperTwist code. Keep voice-artifact review separate from the already-landed code-side judgment.","Already landed: start from first-party local narration sidecar surfaces plus landed packet authority, and keep selected voice review separate.","Typically preserve notices, attribution, and license text where required; review chosen voices or model cards separately from the code license.","Usually unnecessary unless you later replace the runtime for packaging or architecture reasons.","high","implemented-voice-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-G is closed. Preserve as the landed bounded local narration sidecar lane; keep broad voice-model and payload review separate." "11771","cubing/cubing.js","https://github.com/cubing/cubing.js","HyperTwist","5.0","152.0","185.0","A","interface / visualization / shell surface","foundation engine","visualization donor","locked strategic donor","integrate","direct","Keep the core engine or major subsystem mostly intact; change wrappers, branding, storage/auth, and integration seams so it becomes a first-class part of the target stack. For this repo class, that usually means preserving scene/layout primitives and replacing surrounding data models or backend assumptions.","Other Notable ResourcesCubing.js library (for building your own tools): https://github.com/cubing/cubing.js – Open-source core used in many trainers above.","Integrate as a ui / design / frontend subsystem for HyperTwist. Preserve the strongest existing pieces — component library, canvas/animation engine, interaction patterns, layout/state models, accessibility hooks, theming, editor widgets — and expose them behind a portfolio-stable interface. Wire first into HactarCE/Hyperspeedcube, then into kkoomen/qbr for orchestration, visualization, or data exchange.","Consolidate under the Hyperspeedcube + cubing.js + qbr nucleus, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: HactarCE/Hyperspeedcube, kkoomen/qbr.","Repurpose here means: turn it into a frontend interaction donor, canvas/editor pattern library, or polished shell layer on top of existing anchors.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Extract layout/scene primitives; Map import/export schema; Detach UI shell from backend assumptions","full subsystem extraction review","Hidden value often sits in scene graph/canvas model, component primitives, import/export schema, gesture/keyboard interactions, and plugin-ready layout abstractions.","Inspect scene graph/canvas data model; layout primitives; component library; keyboard/gesture interactions; import/export schema; theming; plugin or extension hooks.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, config files, migrations/schemas, and hidden feature flags or experimental modules. Look for reusable canvas/editor components, design tokens, state models, keyboard shortcuts, drag/drop, accessibility, virtualization, and polished interaction patterns.","Audit cubing/cubing.js as a interface / visualization / shell surface candidate for HyperTwist. Do not stop at README-level features. Inspect: Inspect scene graph/canvas data model; layout primitives; component library; keyboard/gesture interactions; import/export schema; theming; plugin or extension hooks. Decide whether the best extraction path is direct and whether it belongs as foundation engine / visualization donor. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, plugin hooks, render/state models, datasets/test fixtures, and any subsystem stronger than the visible product shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","do not exclude","Keep in active merge-set and force full source audit before any demotion.","medium-high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","Other Notable ResourcesCubing.js library (for building your own tools): https://github.com/cubing/cubing.js – Open-source core used in many trainers above.","cubing/cubing.js is treated as integrate for HyperTwist because visible metadata points to the ui / design / frontend layer. Surface signal: Other Notable ResourcesCubing.js library (for building your own tools): https://github.com/cubing/cubing.js – Open-source core used in many trainers above. The likely value is substantial enough to preserve as a named subsystem rather than just mining isolated ideas.","memo","False","True","0.0","1.0","HT_cube_semantics","HT_cube_semantics_0001","cubing / algorithm training","Integrate primarily for HyperTwist. Its memo and bookmark signals place it in the cubing / algorithm training layer.","HyperTwist","cubing / algorithm training","integrate","moderate modification","medium","cubing/cubing.js","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MPL-2.0 OR GPL-3.0-or-later","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","Existing v5 row reaffirmed or widened by v6 supplemental intake.","5.0","5","152.0","Locked Strategic Donor","Boundary-sensitive classic-cubing semantics and rendering donor","","P1","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","The repo is dual-licensed MPL-2.0 OR GPL-3.0-or-later. HyperTwist can consume it as a package or bounded adapter under the MPL side, but should avoid a carefree deep private source fork of upstream files.","Prefer package/dependency consumption or a bounded adapter seam under the MPL side; avoid deep private forks of upstream source files.","Preserve MPL notices and publish modifications to MPL-covered files when distribution obligations apply; avoid assuming the GPL side is the intended operational path.","Only if you later need to replace narrow upstream-covered seams with first-party equivalents or avoid carrying MPL-governed source modifications.","high","dual-license-boundary-review","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 4R-A closed. Preserve as the landed first-party classic-cubing semantic/runtime adapter lane through explicit MPL-aware dependency or adapter use; keep notices and publication duties explicit before any future direct upstream file modification." "11848","cahidenes/rubiks-cube-solver","https://github.com/cahidenes/rubiks-cube-solver","HyperTwist","6.0","148.0","174.0","A","retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","retained bounded row","face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","retained bounded adjunct/comparison row","integrate","direct","This row is already closed for its current justified retained slice. Preserve the retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners, and reopen only if a narrower gap is later proven.","cahidenes/rubiks-cube-solver — MIT — opposite-corner capture heuristic, face-orientation fill logic, cube-string assembly from partial capture, and lightweight HSV or per-sticker bookkeeping retained only as a comparison adjunct behind qbr and rubix-cube-solver.","Retain only as the closed face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. No default widening packet is open; any future work must start from the landed owners and narrower gap proof.","Keep subordinate to qbr and rubix-cube-solver inside the current recognition stack. Use only for bounded cross-checking or disagreement reporting; do not form a separate recognition silo or reopen primary recognition ownership.","Integrate here means: only a narrower first-party widening if a concrete owner-side gap is later proven.","Validate closed retained boundary; preserve landed owner authority; record narrower reopen criteria only; do not promote to a standalone owner lane","closed retained-boundary review","Remaining value is in bounded adjunct, pedagogy-experiment, or comparison behavior beneath landed owners, not standalone owner promotion.","whether any narrower face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct gap remains after the landed qbr, rubix-cube-solver, and first-party correction-stack owners and the existing first-party surfaces.","Inspect the retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct slice only in relation to the landed qbr, rubix-cube-solver, and first-party correction-stack owners, existing first-party surfaces, and any unresolved narrower reopen gaps.","Audit cahidenes/rubiks-cube-solver only as a closed retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct row for HyperTwist. Validate that it remains bounded beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners and identify narrower reopen criteria only; do not frame it as a fresh implementation candidate or standalone owner lane.","kkoomen/qbr","foundation + perception donor","Use this repo against the partner as an augmenting layer; preserve the partner as the likely base and mine this repo for capabilities that improve breadth, UX, or specialization.","vivaansinghvi07/rubix-cube-solver","perception + replay donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cubing/cubing.js","state/render backend","Use the partner for canonical state or rendering abstractions and merge this repo's specialized logic on top.","No cross-project transfer by default","This row is already closed as a retained bounded row. Reuse should start only from narrower owner-side gap proof, not generic transfer framing.","keep bounded only","Do not promote this row into a standalone owner lane or a default widening packet.","high","Canonized hierarchy notes exist and the row is already closed beneath landed owners.","high","memo mentions: 5","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","cahidenes/rubiks-cube-solver — MIT — OpenCV cube detection + Kociemba solver. | cahidenes/rubiks-cube-solver — MIT — OpenCV + solver. | Yes — we already have several strong open-source visual models for cube recognition from earlier in our conversation. I went back through the entire history and pulled the exact ones we discussed (qbr, vivaansinghvi07/rubix-cube-solver, tentone/rubix-solver, cahidenes/rubiks-cube-solver). These are still the high","cahidenes/rubiks-cube-solver is already closed as a retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. Its row-source posture should now be bounded retain-and-reopen-only rather than candidate activation.","memo","False","True","0.0","5.0","HT_cube_vision","HT_cube_vision_0003","Retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","Closed retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct row for HyperTwist; preserve owner authority and reopen only if a narrower gap is proven.","HyperTwist","Retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","integrate","heavy modification","medium","cahidenes/rubiks-cube-solver","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","6.0","5","148.0","Locked Strategic Donor","Retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Direct embed, vendored module, package dependency, or tightly integrated adapter as the architecture requires.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Normalized legacy candidate-core wording to dossier-backed strategic-donor posture on 2026-04-25.","selected_not_live_permissive_candidate","phase2rc_recognition_adjunct_gap_eval_only","Phase 2R-C plus the 2026-05-27 recognition-comparison adjunct hierarchy clarification are closed. Retain only as a narrow face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and correction-stack owners; no default widening packet is open." "11852","tentone/rubix-solver","https://github.com/tentone/rubix-solver","HyperTwist","7.0","148.0","174.0","A","retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","retained bounded row","native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","retained bounded adjunct/comparison row","integrate","direct","This row is already closed for its current justified retained slice. Preserve the retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners, and reopen only if a narrower gap is later proven.","tentone/rubix-solver — README-only MIT posture — quad clustering, square-mask color sampling, center-color face identification, and lightweight native face or state comparison retained only as a comparison adjunct behind qbr and rubix-cube-solver.","Retain only as the closed native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. No default widening packet is open; any future work must start from the landed owners and narrower gap proof.","Keep subordinate to qbr and rubix-cube-solver inside the current recognition stack. Use only for bounded native comparison, side-by-side validation, or disagreement reporting; do not form a separate recognition silo or promote the local solve shell.","Integrate here means: only a narrower first-party widening if a concrete owner-side gap is later proven.","Validate closed retained boundary; preserve landed owner authority; record narrower reopen criteria only; do not promote to a standalone owner lane","closed retained-boundary review","Remaining value is in bounded adjunct, pedagogy-experiment, or comparison behavior beneath landed owners, not standalone owner promotion.","whether any narrower native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct gap remains after the landed qbr, rubix-cube-solver, and first-party correction-stack owners and the existing first-party surfaces.","Inspect the retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct slice only in relation to the landed qbr, rubix-cube-solver, and first-party correction-stack owners, existing first-party surfaces, and any unresolved narrower reopen gaps.","Audit tentone/rubix-solver only as a closed retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct row for HyperTwist. Validate that it remains bounded beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners and identify narrower reopen criteria only; do not frame it as a fresh implementation candidate or standalone owner lane.","kkoomen/qbr","foundation + perception donor","Use this repo against the partner as an augmenting layer; preserve the partner as the likely base and mine this repo for capabilities that improve breadth, UX, or specialization.","vivaansinghvi07/rubix-cube-solver","perception + replay donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cubing/cubing.js","state/render backend","Use the partner for canonical state or rendering abstractions and merge this repo's specialized logic on top.","No cross-project transfer by default","This row is already closed as a retained bounded row. Reuse should start only from narrower owner-side gap proof, not generic transfer framing.","keep bounded only","Do not promote this row into a standalone owner lane or a default widening packet.","high","Canonized hierarchy notes exist and the row is already closed beneath landed owners.","high","memo mentions: 7","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","tentone/rubix-solver — MIT — OpenCV cube detection. | Yes — 100% possible to consolidate everything into one no-compromises, enterprise-grade platform. You're not half-arsing it, and neither am I. Modern vision models (and even classical OpenCV pipelines refined over the last decade) are more than accurate enough in 2026 for reliable small-square/facelet color recognition on a standard 3x3 (or larger) Rubik's Cube under normal lighting. Productio","tentone/rubix-solver is already closed as a retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. Its row-source posture should now be bounded retain-and-reopen-only rather than candidate activation.","memo","False","True","0.0","7.0","HT_cube_vision","HT_cube_vision_0004","Retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","Closed retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct row for HyperTwist; preserve owner authority and reopen only if a narrower gap is proven.","HyperTwist","Retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","integrate","heavy modification","medium","tentone/rubix-solver","HyperTwist","","","","","","","","","","","","","","","","Original global operational v3 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","7.0","5","148.0","Locked Strategic Donor","Retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct lane","","","permissive_or_noncopyleft_known","direct_incorporation_ok","Practical working assumption remains MIT from README and repo presentation, but the checked mirror lacks a bundled top-level license file. Keep this row permissive-active only as a subordinate recognition comparison adjunct, and capture the final authoritative upstream license text before any direct vendoring.","Direct embed, vendored module, package dependency, or tightly integrated adapter as the architecture requires.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","medium","readme-only-license-capture-before-direct-vendoring","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Normalized legacy candidate-core wording to dossier-backed strategic-donor posture on 2026-04-25.","selected_not_live_permissive_candidate","phase2rc_recognition_adjunct_gap_eval_only","Phase 2R-C plus the 2026-05-27 recognition-comparison adjunct hierarchy clarification are closed. Retain only as a narrow native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and correction-stack owners; no default widening packet is open." diff --git a/docs/repo_portfolio_unified_phase_g_v6_3.csv b/docs/repo_portfolio_unified_phase_g_v6_3.csv index d2ec225..041a379 100644 --- a/docs/repo_portfolio_unified_phase_g_v6_3.csv +++ b/docs/repo_portfolio_unified_phase_g_v6_3.csv @@ -1,15 +1,15 @@ "execution_queue_order","repo","primary_url","best_fit_project_v2","project_rank","portfolio_priority_score","execution_priority_score_v3","priority_band","taxonomy_hardened","archetype_primary","archetype_secondary","portfolio_role_v3","recommended_action_v2","repurposing_potential_v2","modification_scope_detail_v3","capability_extract","integration_realization_detail","consolidation_detail","repurpose_detail","realization_checklist","inspection_depth_recommendation","hidden_value_hypothesis","source_inspection_questions","source_code_audit_targets","coding_model_instruction_v3","merger_partner_1","merger_type_1","merger_rationale_1","merger_partner_2","merger_type_2","merger_rationale_2","merger_partner_3","merger_type_3","merger_rationale_3","cross_project_transfer_targets","cross_project_transfer_rationale","exclusion_discipline","exclusion_reasoning_v3","confidence_v3","confidence_rationale_v3","confidence_reassessed","confidence_rationale","licensing_filter_status","bookmark_project_sections","bookmark_heading_paths_top","bookmark_description_sample","memo_signal_sample","expanded_reasoning","source_attachments","in_bookmarks","in_memo","bookmark_occurrences","memo_mentions","cluster_tag","source_audit_packet_id","category_guess_v2","reasoning","best_fit_project","category_guess","recommended_action","repurposing_potential","confidence","canonical_repo_key","alias_group_size","phase_g_bucket","phase_g_bucket_rank","phase_g_bucket_reason","phase_g_project_stack_layer","phase_g_inclusion_status","phase_g_source_audit_priority","phase_g_master_list_rationale","phase_g_project_rank","phase_g_conf_rank","phase_g_action_rank","phase_g_global_order","phase_g_project_order","phase_g_anomaly_flag","_repo_norm","v5_primary_eval_project","v5_runtime_project","v5_scriptorium_override_status","v5_scriptorium_phase_g_bucket","v5_scriptorium_phase_g_stack_layer","v5_scriptorium_phase_g_source_audit_priority","v5_scriptorium_current_reality_status","v5_scriptorium_actual_role","v5_scriptorium_evidence_summary","v5_scriptorium_supersedes_prior_assessment","v5_source_of_truth","v6_license_annotation","v6_license_annotation_status","v6_license_annotation_source","v6_supplemental_intake_present","v6_supplemental_source_groups","v6_supplemental_source_sections","v6_supplemental_source_files","v6_reference_material_position","v6_kali_agent_access_relevance","v6_branch_seed_prompt_included","v6_branch_seed_scope","v6_intake_wave","v6_notes","v6_source_of_truth","project_rank_num","audit_rank_num","bucket_rank_num","priority_num","copyleft_relevance_v6_1","copyleft_strategy_v6_1","copyleft_rationale_v6_1","preferred_boundary_model_v6_1","open_compliance_if_used_as_is_v6_1","reverse_engineer_if_proprietary_core_needed_v6_1","copyleft_strategy_confidence_v6_1","copyleft_manual_review_trigger_v6_1","as_is_incorporation_sensible_v6_1","v6_2_sre_layer","v6_2_sre_stratum","v6_2_sre_role","v6_2_sre_family","v6_2_related_kali_package","v6_2_related_upstream_repo","v6_2_kali_package_suffices_for_tool_execution","v6_2_upstream_repo_preferred_for_deep_eval","v6_2_index_page_followup_useful","v6_2_index_page_followup_reason","v6_2_sre_notes","v6_2_dnspy_ilspy_relevance","v6_3_source_of_truth","v6_3_merge_note","v6_3_live_state_2026_05_11","v6_3_reset_lane_2026_05_11","v6_3_reset_next_step_2026_05_11" "1.0","HactarCE/Hyperspeedcube","https://github.com/HactarCE/Hyperspeedcube","HyperTwist","1.0","160.0","193.0","A","implemented hyper puzzle catalog and runtime owner","implemented owner","hypercubing foundation owner","landed foundation owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed hyper puzzle catalog, notation, replay-log serialization, replay verification, stats-shape, solve-record, and puzzle-DSL authoring boundaries, and widen only through owned HyperTwist work.","Landed owner value: hyper puzzle catalog, notation, replay-log serialization, replay verification, stats-shape, solve-record, and puzzle-DSL authoring boundaries already live in first-party HyperTwist code.","Preserve as the landed first-party hyper owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-A/K/L/M/N packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner. Keep MagicTile, Magic120Cell, MagicCube5D, and retained benchmark rows as adjacent families or references, not donor merge targets for the already landed slice.","Repurpose here means: ordinary owned enhancement of the landed hyper owner lane, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing hyper catalog, notation, replay, stats, and DSL contracts; keep notices and attribution visible","live owner boundary review","Remaining value is in already-landed owner boundaries and future owned widening targets, not donor extraction.","Which remaining hyper owner gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-A/K/L/M/N packets?","Inspect current first-party owner boundaries, landed packet scope, retained adjacent hyper/runtime families, and unresolved owned widening targets only.","Audit HactarCE/Hyperspeedcube only as an already-landed permissive owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 6","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","HactarCE/Hyperspeedcube - landed first-party hyper owner lane; future work starts from owned HyperTwist surfaces and landed packets.","HactarCE/Hyperspeedcube is already landed for its current justified hyper puzzle catalog, notation, replay, stats, and DSL slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","6.0","HT_hyper_engine","HT_hyper_engine_0001","Implemented hyper puzzle catalog and runtime owner","Landed hyper owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","HyperTwist","Implemented hyper puzzle catalog and runtime owner","integrate","direct","medium","hactarce/hyperspeedcube","1.0","Locked Foundation","1.0","Already-landed hyper owner row for bounded puzzle catalog, notation, replay, stats, and DSL families; no donor thesis remains for the current slice.","Implemented hyper owner lane","Included","P0","Keep in canon as an already-landed first-party hyper owner lane and route all future work through owned widening.","2.0","5.0","3.0","2.0","2.0","","hactarce/hyperspeedcube","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","Existing v5 row reaffirmed or widened by v6 supplemental intake.","v6_unified_source_of_truth_pack","1.0","1","1.0","160.0","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Already landed: start from first-party owner surfaces and landed packet authority, not donor-transfer framing.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Later Phase 6R-A/K/L/M/N preserve sequence closed. Preserve as the landed first-party hyper puzzle catalog, notation, replay-log serialization, replay verification, stats-shape, solve-record, and puzzle-DSL authoring lane; start future widening from ROADMAP.md, FEATURE_REGISTRY.md, REPO_LICENSE_TRACKING.md, and the repo-specific landed Phase 6R packets, not from the old candidate queue wording." -"1746.0","SYSTRAN/faster-whisper","https://github.com/SYSTRAN/faster-whisper","multi-project","1.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving parsers/graph schema/indexing while swapping layout, storage, or UX layers.","huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT.","Repurpose selected subsystems rather than the whole product. Mine the repo for VAD-aware segmentation, batch transcription, timestamps, hotword and prefix conditioning, and Python service ergonomics; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: ggml-org/whisper.cpp, rhasspy/piper, coqui-ai/TTS.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a Python STT service, timestamped speech pipeline, or batch transcription donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Normalize graph schema; Decouple parser/indexer from UI; Expose query and layout services","deep source audit","Hidden value may sit in AST/indexing pipelines, call/dependency graph schema, incremental refresh, layout heuristics, graph query APIs, and serialization formats that can be lifted into VectorShell.","Inspect transcription API and dataclasses; batched inference; VAD chunking; word timestamps; hotwords and prefix conditioning; service-layer boundaries; benchmark and test coverage.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, benchmark scripts, and hidden experimental modules. Look for VAD, batch inference, timestamps, hotwords, model/runtime constraints, and service-layer boundaries.","Audit SYSTRAN/faster-whisper as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: transcription API and dataclasses, batched inference, VAD chunking, word timestamps, hotwords and prefix conditioning, service-layer boundaries, and benchmark/test coverage. Decide whether it should remain the primary Python STT donor and what should stay behind a bounded Python service seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/benchmarks, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","project-local first","Cross-project transfer is possible, but the value is clearest inside the assigned project until source audit exposes more reusable primitives.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT.","SYSTRAN/faster-whisper is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT. The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0001","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is a bounded Python STT donor and service-layer candidate, not an exclusion-only adjunct.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","systran/faster-whisper","1.0","Donor Bench","4.0","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; strongest current Python STT donor and service-layer candidate in the voice stack.","Cross-project / future-adjacent","Included","P2","SYSTRAN/faster-whisper is placed in Donor Bench for multi-project because it provides the clearest Python STT service-layer path in the voice stack. Recommended action remains repurpose, but the real retained value is batch transcription, VAD-aware chunking, timestamps, and Python-side service integration rather than any code-intelligence or graph role.","4.0","2.0","2.0","60.0","2.0","","systran/faster-whisper","multi-project","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","1.0","3","4.0","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. Treat it as a bounded Python STT donor/service candidate; review chosen model checkpoints separately, but no clean-room path is required by default.","Use directly as a bounded Python STT service or adapter layer; keep model/runtime selection and deployment behind a speech-input seam.","Typically preserve notices, attribution, and license text where required; review selected model checkpoints separately from the code license.","Usually unnecessary unless you later decide to replace a narrow hot path or remove Python/CTranslate2 dependencies.","high","model-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-F is closed. Preserve as the landed complementary Python transcription-orchestration lane above the existing speech session boundary; do not widen it into top-level provider/session ownership." +"1746.0","SYSTRAN/faster-whisper","https://github.com/SYSTRAN/faster-whisper","multi-project","1.0","71.0","80.0","C","implemented Python transcription orchestration sidecar","implemented owner","transcription orchestration sidecar","landed bounded speech sidecar owner","integrate","direct","This row is already live for its current justified slice. Preserve the landed complementary Python transcription-orchestration sidecar above the native speech-session boundary, and widen only through owned HyperTwist work.","Landed owner value: complementary Python transcription orchestration, VAD-aware chunking, timestamps, and bounded service-layer integration already live in first-party HyperTwist code.","Preserve as the landed first-party complementary Python transcription sidecar lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-F packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed Python transcription sidecar slice. Keep whisper.cpp as the harder native speech anchor, not a donor merge target for the already landed orchestration slice.","Repurpose here means: ordinary owned enhancement of the landed Python transcription sidecar, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing Python transcription orchestration, timestamps, and service-boundary contracts; keep notices and model-review boundaries visible","live owner boundary review","Remaining value is in already-landed sidecar boundaries and future owned widening targets, not donor extraction.","Which remaining Python transcription-orchestration gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-F packet?","Inspect current first-party Python transcription-orchestration sidecar boundary plus unresolved owned widening targets only.","Audit SYSTRAN/faster-whisper only as an already-landed permissive speech sidecar lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded Python transcription sidecar slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed speech-sidecar fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","huggingface/faster-whisper – https://github.com/SYSTRAN/faster-whisper – MIT – Fast Whisper STT.","SYSTRAN/faster-whisper is already landed for its current justified complementary Python transcription-orchestration slice above the native speech-session boundary. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0001","Implemented Python transcription orchestration sidecar","Landed complementary Python transcription sidecar for HyperTwist; validate boundaries and widen only through owned first-party work.","future/adjacent use","Implemented Python transcription orchestration sidecar","repurpose","moderate modification","medium","systran/faster-whisper","1.0","Donor Bench","4.0","Already-landed complementary Python transcription-orchestration sidecar row; no donor thesis remains for the current slice.","Implemented Python transcription orchestration sidecar lane","Included","P2","Keep in canon as an already-landed first-party Python transcription sidecar lane and route all future work through owned widening.","4.0","2.0","2.0","60.0","2.0","","systran/faster-whisper","multi-project","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","1.0","3","4.0","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified Python transcription-orchestration slice is already implemented in first-party HyperTwist code. Keep model and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party Python transcription sidecar surfaces plus landed packet authority, and do not widen it into top-level provider or session ownership by default.","Typically preserve notices, attribution, and license text where required; review selected model checkpoints separately from the code license.","Usually unnecessary unless you later decide to replace a narrow hot path or remove Python/CTranslate2 dependencies.","high","implemented-model-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-F is closed. Preserve as the landed complementary Python transcription-orchestration lane above the existing speech session boundary; do not widen it into top-level provider/session ownership." "2.0","kkoomen/qbr","https://github.com/kkoomen/qbr","HyperTwist","2.0","158.0","191.0","A","implemented recognition calibration and webcam shell owner","implemented owner","recognition and webcam shell owner","landed foundation owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed recognition calibration, ordered face-observation, and webcam-shell boundaries, and widen only through owned HyperTwist work while keeping deferred multilingual and broader solve-shell ownership explicit.","Landed owner value: recognition calibration, ordered face observation, webcam shell profile, bounded overlay panels, and recognition intake already live in first-party HyperTwist code.","Preserve as the landed first-party recognition calibration and webcam-shell owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-B/O packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner. Keep rubix-cube-solver, the retained recognition-comparison adjunct rows, and the multilingual guidance remainder as adjacent retained or deferred families, not donor merge targets for the already landed slice.","Repurpose here means: ordinary owned enhancement of the landed recognition and webcam-shell owner lane, not external donor harvesting.","Validate current first-party recognition and webcam-shell owner boundaries; identify narrower owned widening targets only if needed; preserve calibration, ordered observation, correction-stack, and webcam-shell contracts; keep notices and attribution visible","live owner boundary review","Remaining value is in already-landed recognition owner boundaries and future owned widening targets, not donor extraction.","Which remaining recognition or webcam-shell gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-B/O packets?","Inspect current first-party recognition owner boundaries, landed packet scope, retained adjacent recognition rows, and unresolved owned widening targets only.","Audit kkoomen/qbr only as an already-landed permissive owner lane for HyperTwist. Validate current recognition and webcam-shell owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 5","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","kkoomen/qbr - landed first-party recognition calibration and webcam-shell owner lane; future work starts from owned HyperTwist surfaces and landed packets.","kkoomen/qbr is already landed for its current justified recognition calibration, ordered face-observation, and webcam-shell slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","5.0","HT_cube_vision","HT_cube_vision_0001","Implemented recognition calibration and webcam shell owner","Landed recognition and webcam-shell owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","HyperTwist","Implemented recognition calibration and webcam shell owner","integrate","heavy modification","medium","kkoomen/qbr","1.0","Locked Foundation","1.0","Already-landed recognition owner row for bounded calibration, ordered observation, and webcam-shell families; no donor thesis remains for the current slice.","Implemented recognition and webcam-shell owner lane","Included","P0","Keep in canon as an already-landed first-party recognition owner lane and route all future work through owned widening.","2.0","5.0","3.0","7705.0","4.0","","kkoomen/qbr","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","2.0","1","1.0","158.0","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Already landed: start from first-party owner surfaces and landed packet authority, not donor-transfer framing.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Later Phase 6R-B/O preserve sequence closed for the currently justified slice. Preserve as the landed first-party recognition calibration, ordered face-observation, and webcam-shell lane; start future widening from ROADMAP.md, FEATURE_REGISTRY.md, REPO_LICENSE_TRACKING.md, and the repo-specific landed Phase 6R packets, while keeping multilingual/font redistribution and broader solve-shell ownership deferred." "","cubing/alg.js","https://github.com/cubing/alg.js","HyperTwist","2.0","95.0","95.0","P0","puzzle_simulation_training_donor","puzzle_simulation_training_donor","geometry_renderer_or_binding","donor bench","repurpose","architecture only","Moderate modification. Treat cubing/alg.js as a family-level donor for HyperTwist: extract the implementation layer that matches its strongest domain contribution, preserve its protocols/data models/CLI or renderer boundaries, and adapt only the surface integration needed for HyperTwist rather than rewriting it wholesale.","HyperTwist family. Likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or XR/game-engine surfaces relevant to hypercube and cube-training workflows.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","Validate actual implementation breadth and hidden donor subsystems before promotion.","P0 tier source audit.","cubing/alg.js may contain stronger reusable internals than its surface description suggests.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Audit cubing/alg.js directly in source. Preserve distinctions between foundation, donor, reserve, comparator, and exclusion.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use cubing/alg.js as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use cubing/alg.js as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use cubing/alg.js as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Many supplemental repos may reveal transferable abstractions after source inspection.","Exclude only after source audit proves weak or purely documentary value.","Supplemental intake row. Current exclusion posture is provisional.","medium","Supplemental intake heuristic.","medium","Pending direct source inspection.","Licensing intentionally ignored as a decision filter per canonical directive.","HyperTwist","HyperTwist","","Supplemental intake; reference docs advisory only.","cubing/alg.js is introduced in v6 so the portfolio reflects the complete repo picture before exclusions.","HyperTwist & ScriptoriumAI.txt","0","0","1.0","0.0","HT_cube_semantics","HT_cube_semantics_0002","puzzle_simulation_training_donor","Supplemental v6 intake from hypertwist_and_scriptoriumai.","HyperTwist","puzzle_simulation_training_donor","donor candidate","moderate modification","medium","cubing/alg.js","1.0","Donor Bench","4.0","Standalone GPL parser/AST package with focused semantics value best preserved through Model A / Model B separation.","Focused restrictive clean-room donor target","included_in_v6_supplemental_intake","P2","Keep as its own clean-room donor lane because it isolates parser, AST, traversal, validation, keyboard-move, and URL/interchange semantics.","2.0","2.0","2.0","7708.0","1.0","","cubing/alg.js","HyperTwist","supplemental_v6_not_runtime_anchored","","","","","","","","no","v6_unified_source_of_truth_pack","GPL-3.0-or-later","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","","2.0","1","4.0","95.0","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0-or-later and should remain a focused clean-room donor lane rather than direct donor code. Preserve the parser/AST/traversal semantics through a scrubbed Model A handoff only.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — preferred path for reproducing parser/AST/traversal semantics in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party algorithm-language owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." "","cubing/twisty.js","https://github.com/cubing/twisty.js","HyperTwist","2.0","95.0","95.0","P0","puzzle_simulation_training_donor","puzzle_simulation_training_donor","geometry_renderer_or_binding","donor bench","repurpose","architecture only","Moderate modification. Treat cubing/twisty.js as a family-level donor for HyperTwist: extract the implementation layer that matches its strongest domain contribution, preserve its protocols/data models/CLI or renderer boundaries, and adapt only the surface integration needed for HyperTwist rather than rewriting it wholesale.","HyperTwist family. Likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or XR/game-engine surfaces relevant to hypercube and cube-training workflows.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","Validate actual implementation breadth and hidden donor subsystems before promotion.","P0 tier source audit.","cubing/twisty.js may contain stronger reusable internals than its surface description suggests.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Audit cubing/twisty.js directly in source. Preserve distinctions between foundation, donor, reserve, comparator, and exclusion.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use cubing/twisty.js as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use cubing/twisty.js as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use cubing/twisty.js as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Many supplemental repos may reveal transferable abstractions after source inspection.","Exclude only after source audit proves weak or purely documentary value.","Supplemental intake row. Current exclusion posture is provisional.","medium","Supplemental intake heuristic.","medium","Pending direct source inspection.","Licensing intentionally ignored as a decision filter per canonical directive.","HyperTwist","HyperTwist","","Supplemental intake; reference docs advisory only.","cubing/twisty.js is introduced in v6 so the portfolio reflects the complete repo picture before exclusions.","HyperTwist & ScriptoriumAI.txt","0","0","1.0","0.0","HT_cube_semantics","HT_cube_semantics_0003","puzzle_simulation_training_donor","Supplemental v6 intake from hypertwist_and_scriptoriumai.","HyperTwist","puzzle_simulation_training_donor","donor candidate","moderate modification","medium","cubing/twisty.js","1.0","Donor Bench","4.0","Standalone GPL viewer/player shell with focused browser twisty behavior best preserved through Model A / Model B separation.","Focused restrictive clean-room donor target","included_in_v6_supplemental_intake","P2","Keep as its own clean-room donor lane because it isolates browser twisty-viewer/player shell behavior and control-bar semantics.","2.0","2.0","2.0","7710.0","3.0","","cubing/twisty.js","HyperTwist","supplemental_v6_not_runtime_anchored","","","","","","","","no","v6_unified_source_of_truth_pack","GPL-3.0-or-later","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","","2.0","1","4.0","95.0","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0-or-later and should remain a focused clean-room donor lane rather than direct donor code. Preserve viewer/player shell, scrubber, and twisty-element behavior through a scrubbed Model A handoff only.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — preferred path for reproducing compact twisty-viewer behavior in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party replay-player, cursor/timeline transport, adapter/bootstrap, and local visualization owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." -"1747.0","coqui-ai/TTS","https://github.com/coqui-ai/TTS","multi-project","2.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","https://github.com/coqui-ai/TTS – Coqui XTTS v2.","Repurpose selected subsystems rather than the whole product. Mine the repo for synthesis orchestration, multilingual and speaker handling, local service wrappers, voice-conversion paths, and model-registry/license handling; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: rhasspy/piper, ggml-org/whisper.cpp, SYSTRAN/faster-whisper.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a bounded voice-service seam, coach narration donor, or multilingual TTS and cloning donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Isolate streaming/audio pipeline; Normalize command schema; Add local/offline fallback layer","deep source audit","Hidden value often lives in streaming segmentation, VAD, device abstraction, latency mitigation, translation chains, and local/offline fallback paths.","Inspect public API, synthesis and orchestration spine, server boundary, multilingual and speaker handling, XTTS path, model registry and license metadata, and optional voice conversion.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, model registry files, and hidden experimental modules. Look for synthesis orchestration, sentence splitting, multilingual and speaker handling, voice conversion, server deployment patterns, and model-license metadata.","Audit coqui-ai/TTS as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: public API surface, synthesis/orchestration spine, server boundary, multilingual and speaker handling, XTTS path, model registry and license metadata, and optional voice conversion. Decide whether it should remain the strongest voice/coaching donor and what should stay behind a bounded voice-service seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/fixtures, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","https://github.com/coqui-ai/TTS – Coqui XTTS v2.","coqui-ai/TTS is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: https://github.com/coqui-ai/TTS – Coqui XTTS v2. The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0002","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is the richest current voice-output and coaching donor, but it should stay behind a bounded voice-service seam because code and model payload licensing diverge.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","coqui-ai/tts","1.0","Donor Bench","4.0","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; strongest current voice and coaching donor, but boundary-sensitive because code and model payload licensing must be separated.","Cross-project / future-adjacent","Included","P2","coqui-ai/TTS is placed in Donor Bench for multi-project because it provides the richest current voice-output and coaching architecture in the stack. Recommended action remains repurpose, but the real retained value is synthesis orchestration, multilingual and speaker handling, XTTS/voice-conversion paths, and model-registry discipline rather than broad assistant scope.","4.0","2.0","2.0","7713.0","4.0","","coqui-ai/tts","multi-project","","","","","","","","","","Original global Phase G v4 retained","MPL-2.0 code; mixed model payload licenses","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","2.0","3","4.0","71.0","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","Code is usable under MPL-2.0, but selected model weights carry mixed per-model licenses and some require separate terms. Keep the repo behind a bounded voice-service seam and decide model adoption case by case rather than treating it as a blanket permissive dependency.","Use the code behind a bounded voice-service seam; select model weights individually and keep model-license decisions separate from code adoption.","Preserve MPL notices and file-level obligations where applicable, and review each chosen model license or ToS separately before shipping.","Sometimes useful only if you later need a fully proprietary embedded voice stack or want to avoid model-license entanglement; not the default path.","medium","model-license-selection-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 6R-H is closed. Preserve as the landed bounded advanced narration orchestration lane under the current MPL boundary doctrine; keep model, voice, and payload review separate from the code-license judgment." +"1747.0","coqui-ai/TTS","https://github.com/coqui-ai/TTS","multi-project","2.0","71.0","80.0","C","implemented advanced narration orchestration owner","implemented owner","advanced narration orchestration sidecar","landed bounded narration owner","integrate","direct","This row is already live for its current justified slice. Preserve the landed advanced narration orchestration lane under the current MPL and payload-review boundary, and widen only through owned HyperTwist work.","Landed owner value: advanced narration orchestration, multilingual and speaker handling, richer voice-service composition, and bounded coaching-output behavior already live in first-party HyperTwist code.","Preserve as the landed first-party advanced narration orchestration lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-H packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed advanced narration orchestration slice. Keep broad voice-model, payload, and cloning review separate from the already landed code-side lane.","Repurpose here means: ordinary owned enhancement of the landed advanced narration orchestration lane, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing advanced narration, multilingual/speaker, and bounded voice-service contracts; keep MPL and payload-review boundaries visible","live owner boundary review","Remaining value is in already-landed owner boundaries and future owned widening targets, not donor extraction.","Which remaining advanced narration orchestration gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-H packet?","Inspect current first-party advanced narration orchestration boundary plus unresolved owned widening targets only.","Audit coqui-ai/TTS only as an already-landed boundary-sensitive narration owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded advanced narration orchestration slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed boundary-sensitive narration fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","https://github.com/coqui-ai/TTS – Coqui XTTS v2.","coqui-ai/TTS is already landed for its current justified advanced narration orchestration slice under the current MPL and payload-review boundary. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0002","Implemented advanced narration orchestration owner","Landed advanced narration orchestration lane for HyperTwist; validate boundaries and widen only through owned first-party work under the current MPL and payload-review boundary.","future/adjacent use","Implemented advanced narration orchestration owner","repurpose","moderate modification","medium","coqui-ai/tts","1.0","Donor Bench","4.0","Already-landed advanced narration orchestration row under the current MPL and payload-review boundary; no donor thesis remains for the current slice.","Implemented advanced narration orchestration lane","Included","P2","Keep in canon as an already-landed first-party advanced narration orchestration lane and route all future work through owned widening while keeping payload review separate.","4.0","2.0","2.0","7713.0","4.0","","coqui-ai/tts","multi-project","","","","","","","","","","Original global Phase G v4 retained","MPL-2.0 code; mixed model payload licenses","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","2.0","3","4.0","71.0","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","The code boundary is MPL and the current justified advanced narration slice is already implemented in first-party HyperTwist code. Keep model, voice, and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party advanced narration owner surfaces plus landed packet authority, and keep model and payload review explicitly separate.","Preserve MPL notices and file-level obligations where applicable, and review each chosen model license or ToS separately before shipping.","Sometimes useful only if you later need a fully proprietary embedded voice stack or want to avoid model-license entanglement; not the default path.","medium","implemented-model-license-selection-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 6R-H is closed. Preserve as the landed bounded advanced narration orchestration lane under the current MPL boundary doctrine; keep model, voice, and payload review separate from the code-license judgment." "","HactarCE/2x2x2x2-Scrambler","https://github.com/HactarCE/2x2x2x2-Scrambler","HyperTwist","2.0","63.0","63.0","P2","puzzle_simulation_training_donor","puzzle_simulation_training_donor","geometry_renderer_or_binding","donor bench","repurpose","architecture only","Architecture only. Treat HactarCE/2x2x2x2-Scrambler as a design and subsystem reference first; source audit should look for transplantable patterns, adapters, data contracts, pipeline ideas, or UI/control abstractions before any decision to operationalize.","HyperTwist family. Likely value lies in puzzle logic, scrambler design, algorithm representations, n-dimensional geometry, rendering, bindings, or XR/game-engine surfaces relevant to hypercube and cube-training workflows.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","Validate actual implementation breadth and hidden donor subsystems before promotion.","P2 tier source audit.","HactarCE/2x2x2x2-Scrambler may contain stronger reusable internals than its surface description suggests.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Audit HactarCE/2x2x2x2-Scrambler directly in source. Preserve distinctions between foundation, donor, reserve, comparator, and exclusion.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Many supplemental repos may reveal transferable abstractions after source inspection.","Exclude only after source audit proves weak or purely documentary value.","Supplemental intake row. Current exclusion posture is provisional.","low-to-medium","Supplemental intake heuristic.","low-to-medium","Pending direct source inspection.","Licensing intentionally ignored as a decision filter per canonical directive.","HyperTwist","HyperTwist","","Supplemental intake; reference docs advisory only.","HactarCE/2x2x2x2-Scrambler is introduced in v6 so the portfolio reflects the complete repo picture before exclusions.","HyperTwist & ScriptoriumAI.txt","0","0","1.0","0.0","HT_cube_semantics","HT_cube_semantics_0004","puzzle_simulation_training_donor","Supplemental v6 intake from hypertwist_and_scriptoriumai.","HyperTwist","puzzle_simulation_training_donor","future candidate","architecture only","low-to-medium","hactarce/2x2x2x2-scrambler","1.0","Donor Bench","6.0","GPL scrambler with copied-port lineage notes; valuable only through restrictive clean-room extraction, not donor use.","Focused restrictive clean-room donor target","included_in_v6_supplemental_intake","P2","Keep as a narrow but real clean-room donor for Melinda 2x2x2x2 state encoding, handedness/parity repair, random-state generation, move-family representation, and flat debug/teaching views.","2.0","3.0","3.0","7714.0","5.0","","hactarce/2x2x2x2-scrambler","HyperTwist","supplemental_v6_not_runtime_anchored","","","","","","","","no","v6_unified_source_of_truth_pack","GPL-3.0","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","","2.0","3","6.0","63.0","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0 and the source explicitly notes a ported lineage from an earlier scrambler. Retain it only as a focused clean-room donor target and implement any valuable behavior through a scrubbed first-party specification.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — this is the preferred path for reproducing the 2x2x2x2 scrambler/state behaviors in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party Melinda state legality, random-state generation, move-family application, scramble-packet, and flat debug/teaching owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." "3.0","vivaansinghvi07/rubix-cube-solver","https://github.com/vivaansinghvi07/rubix-cube-solver","HyperTwist","3.0","158.0","191.0","A","vision / perception / AR","foundation engine","vision donor","locked core candidate","integrate","direct","Keep the core engine or major subsystem mostly intact; change wrappers, branding, storage/auth, and integration seams so it becomes a first-class part of the target stack. For this repo class, that usually means preserving calibration/detection/state-reconstruction logic while replacing camera UX and integration surfaces.","Yes — 100% possible to consolidate everything into one no-compromises, enterprise-grade platform. You're not half-arsing it, and neither am I. Modern vision models (and even classical OpenCV pipelines refined over the last decade) are mo...","Integrate as a computer vision / AR subsystem for HyperTwist. Preserve the strongest existing pieces — camera ingest, calibration, segmentation/detection, pose or facelet extraction, state normalization, solver bridge, replay overlay, AR anchors — and expose them behind a portfolio-stable interface. Wire first into kkoomen/qbr, then into cubing/cubing.js for orchestration, visualization, or data exchange.","Consolidate under the Hyperspeedcube + cubing.js + qbr nucleus, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: kkoomen/qbr, cubing/cubing.js, HactarCE/Hyperspeedcube.","Repurpose here means: turn it into a perception microservice, cube-state API, replay generator, or AR overlay donor for HyperTwist.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Benchmark calibration pipeline; Extract state reconstruction; Wrap with camera/AR adapter","full subsystem extraction review","Hidden value often sits in calibration, preprocessing, stabilization, object/state reconstruction, replay artifacts, and camera-to-domain state pipelines that are not obvious from demos.","Inspect preprocessing/calibration; tracking stabilization; state reconstruction; replay/event model; camera abstraction; fallback heuristics; testing assets/videos; performance shortcuts.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, config files, migrations/schemas, and hidden feature flags or experimental modules. Look for calibration routines, detection heuristics/models, color/state normalization, replay serialization, solver bridges, camera abstraction layers, and debug visualizations.","Audit vivaansinghvi07/rubix-cube-solver as a vision / perception / AR candidate for HyperTwist. Do not stop at README-level features. Inspect: Inspect preprocessing/calibration; tracking stabilization; state reconstruction; replay/event model; camera abstraction; fallback heuristics; testing assets/videos; performance shortcuts. Decide whether the best extraction path is direct and whether it belongs as foundation engine / vision donor. Test the three merger paths in order: 1) kkoomen/qbr [foundation + perception donor]; 2) cubing/cubing.js [state/render backend]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, plugin hooks, render/state models, datasets/test fixtures, and any subsystem stronger than the visible product shell.","kkoomen/qbr","foundation + perception donor","Use this repo against the partner as an augmenting layer; preserve the partner as the likely base and mine this repo for capabilities that improve breadth, UX, or specialization.","cubing/cubing.js","state/render backend","Use the partner for canonical state or rendering abstractions and merge this repo's specialized logic on top.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | ScriptoriumAI","VectorShell can borrow spatial/rendering and perception primitives; ScriptoriumAI can borrow tutorial/educational visualization patterns rather than the full engine.","do not exclude","Keep in active merge-set and force full source audit before any demotion.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 10","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","Yes — 100% possible to consolidate everything into one no-compromises, enterprise-grade platform. You're not half-arsing it, and neither am I. Modern vision models (and even classical OpenCV pipelines refined over the last decade) are more than accurate enough in 2026 for reliable small-square/facelet color recognition on a standard 3x3 (or larger) Rubik's Cube under normal lighting. Production examples prove it:Multiple MIT-licensed projects (qb","vivaansinghvi07/rubix-cube-solver is treated as integrate for HyperTwist because current dossier work keeps it in the committed vision path as the strongest reconstruction and replay-oriented companion to qbr rather than as a generic donor.","memo","False","True","0.0","10.0","HT_cube_vision","HT_cube_vision_0002","computer vision / AR","Integrate primarily for HyperTwist. Its memo and bookmark signals place it in the computer vision / AR layer.","HyperTwist","computer vision / AR","integrate","heavy modification","medium","vivaansinghvi07/rubix-cube-solver","1.0","Locked Parallel Foundation","2.0","Part of the irreducible core stack for HyperTwist; kept as the parallel foundation and strongest reconstruction companion to qbr.","Parallel foundation and reconstruction companion donor","Included","P0","vivaansinghvi07/rubix-cube-solver is placed in Locked Parallel Foundation for HyperTwist because it best serves the 'Parallel foundation and reconstruction companion donor' role; recommended action is 'integrate' with repurposing scope 'direct'. Confidence is high because this remains a metadata-level judgment until source audit confirms hidden modules, plugin points, adapters, or architectural strengths.","2.0","5.0","3.0","7819.0","110.0","","vivaansinghvi07/rubix-cube-solver","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","3.0","1","2.0","158.0","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Direct embed, vendored module, package dependency, or tightly integrated adapter as the architecture requires.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Normalized legacy wording to dossier-backed parallel-foundation posture on 2026-04-25.","implemented_live_permissive","landed_permissive_preserve","Later Phase 6R-C/P/Q preserve sequence closed for the currently justified slice. Preserve as the landed first-party committed-face reconstruction, browser/webcam shell, and bounded solve-explanation/recommendation lane; start future widening from ROADMAP.md, FEATURE_REGISTRY.md, REPO_LICENSE_TRACKING.md, and the repo-specific landed Phase 6R packets, while broad solver-backend ownership and bundled twistysim.min.js redistribution stay deferred." -"1748.0","ggml-org/whisper.cpp","https://github.com/ggml-org/whisper.cpp","multi-project","3.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT.","Repurpose selected subsystems rather than the whole product. Mine the repo for native STT runtime seams, VAD, grammar-constrained decoding, segmented speech capture, and server-side deployment patterns; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: SYSTRAN/faster-whisper, rhasspy/piper, coqui-ai/TTS.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into an offline STT sidecar, grammar-constrained command surface, or native speech-input donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Isolate streaming/audio pipeline; Normalize command schema; Add local/offline fallback layer","deep source audit","Hidden value often lives in streaming segmentation, VAD, device abstraction, latency mitigation, translation chains, and local/offline fallback paths.","Inspect C/C++ API surface; VAD path; grammar-constrained decoding; server/runtime examples; model loading and portability seams; tests and benchmarks.","Inspect package manifests, README/docs, src/include tree, examples, tests, CI workflows, build configs, model tooling, and hidden experimental modules. Look for VAD, grammar support, streaming/segmentation, server boundaries, device/runtime abstraction, and performance shortcuts.","Audit ggml-org/whisper.cpp as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: C/C++ API surface, VAD, grammar-constrained decoding, server/runtime examples, model loading and portability seams, and benchmark/test coverage. Decide whether it should remain the primary offline STT sidecar candidate and what should stay behind a bounded native seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/benchmarks, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT.","ggml-org/whisper.cpp is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: 7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT. The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0003","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is a bounded speech-input donor and offline/native STT sidecar candidate, not an exclusion-only adjunct.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","ggml-org/whisper.cpp","1.0","Donor Bench","4.0","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; strongest current native/offline STT sidecar candidate in the voice stack.","Cross-project / future-adjacent","Included","P2","ggml-org/whisper.cpp is placed in Donor Bench for multi-project because it is the clearest native/offline STT anchor in the voice stack. Recommended action remains repurpose, but the real retained value is a bounded speech-input runtime, VAD, grammar-constrained decoding, and portable deployment rather than a full product shell.","4.0","2.0","2.0","7850.0","6.0","","ggml-org/whisper.cpp","multi-project","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","3.0","3","4.0","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. This repo is best used as a bounded offline STT sidecar or native speech-input seam; no clean-room path is required by default.","Use directly as a bounded native STT sidecar or library adapter; keep grammar, VAD, and model/runtime choices behind a speech-input seam.","Typically preserve notices, attribution, and license text where required; review selected model files or distributions separately from the code license.","Usually unnecessary unless you later choose to replace a narrow hot path or fully internalize the runtime.","high","model-artifact-review-recommended","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-E, Phase 6R-U, Phase 6R-V, and Phase 6R-W are closed. Preserve as the landed bounded native speech-session, microphone-shell, permission-readiness, and payload-custody lane; keep broader payload shipping and model-license review separate." +"1748.0","ggml-org/whisper.cpp","https://github.com/ggml-org/whisper.cpp","multi-project","3.0","71.0","80.0","C","implemented native speech session and shell owner","implemented owner","native speech and shell owner","landed bounded speech-input owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed native speech-session boundary, live microphone shell, permission-readiness shell, and payload-custody boundary, and widen only through owned HyperTwist work.","Landed owner value: native speech-session, microphone shell, permission-readiness, and payload-custody boundaries already live in first-party HyperTwist code.","Preserve as the landed first-party native speech-input owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-E/U/V/W packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed native speech session and shell slices. Keep faster-whisper as the complementary Python transcription sidecar and piper/coqui as narration-side sidecars, not donor merge targets for the already landed native speech slice.","Repurpose here means: ordinary owned enhancement of the landed native speech-input owner lane, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing native speech-session, microphone shell, readiness, and payload-custody contracts; keep notices and model-review boundaries visible","live owner boundary review","Remaining value is in already-landed owner boundaries and future owned widening targets, not donor extraction.","Which remaining native speech-session, microphone-shell, permission-readiness, or payload-custody gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-E/U/V/W packets?","Inspect current first-party native speech-session, microphone shell, readiness shell, and payload-custody boundaries plus unresolved owned widening targets only.","Audit ggml-org/whisper.cpp only as an already-landed permissive speech owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded native speech session and shell slices. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed speech-owner fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","7. Speech / Voice Models (STT + TTS)ggml-org/whisper.cpp – https://github.com/ggml-org/whisper.cpp – MIT – Native C++ Whisper for STT.","ggml-org/whisper.cpp is already landed for its current justified native speech-session, microphone-shell, permission-readiness, and payload-custody slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0003","Implemented native speech session and shell owner","Landed native speech session and shell owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","future/adjacent use","Implemented native speech session and shell owner","repurpose","moderate modification","medium","ggml-org/whisper.cpp","1.0","Donor Bench","4.0","Already-landed native speech-session, microphone-shell, readiness, and payload-custody owner row; no donor thesis remains for the current slice.","Implemented native speech session and shell owner lane","Included","P2","Keep in canon as an already-landed first-party native speech owner lane and route all future work through owned widening.","4.0","2.0","2.0","7850.0","6.0","","ggml-org/whisper.cpp","multi-project","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","3.0","3","4.0","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified native speech-session and shell slice is already implemented in first-party HyperTwist code. Keep model and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party native speech owner surfaces plus landed packet authority, and keep broader payload review separate.","Typically preserve notices, attribution, and license text where required; review selected model files or distributions separately from the code license.","Usually unnecessary unless you later choose to replace a narrow hot path or fully internalize the runtime.","high","implemented-model-artifact-review-recommended","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-E, Phase 6R-U, Phase 6R-V, and Phase 6R-W are closed. Preserve as the landed bounded native speech-session, microphone-shell, permission-readiness, and payload-custody lane; keep broader payload shipping and model-license review separate." "4.0","tao-yu/Alg-Trainer","https://github.com/tao-yu/Alg-Trainer","HyperTwist","4.0","156.0","189.0","A","implemented algorithm-training foundation owner","implemented owner","training foundation owner","landed foundation owner","integrate","direct","This row is already live for its current justified slices. Preserve the landed broad algorithm-training shell, set or subset corpus, timer or reveal or scramble or virtual-cube flow, and smartcube-capable drill posture, and widen only through owned HyperTwist work.","Landed owner value: broad algorithm-training shell, set or subset corpus, timer or reveal or scramble or virtual-cube flow, and smartcube-capable drill posture already live in first-party HyperTwist code.","Preserve as the landed first-party algorithm-training foundation owner lane. Start any future widening from owned HyperTwist surfaces, the live training stack, FEATURE_REGISTRY, ROADMAP, and REPO_LICENSE_TRACKING; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner. Keep cube_trainer as the adjacent persisted-coaching owner, KubeTimr as the timer substrate owner, and cross-planning or micro-drill lanes as narrower adjacent families rather than donor merge targets for the already landed slice.","Repurpose here means: ordinary owned enhancement of the landed algorithm-training foundation owner lane, not external donor harvesting.","Validate current first-party training-foundation owner boundaries; identify narrower owned widening targets only if needed; preserve case-corpus, drill-flow, reveal, scramble, and smartcube-capable drill contracts; keep notices and attribution visible","live owner boundary review","Remaining value is in already-landed training-foundation owner boundaries and future owned widening targets, not donor extraction.","Which remaining training-foundation gaps, if any, are not already covered by the landed HyperTwist code and the current Alg-Trainer preserve slice?","Inspect current first-party training-foundation owner boundaries, retained adjacent coaching and timer families, and unresolved owned widening targets only.","Audit tao-yu/Alg-Trainer only as an already-landed permissive owner lane for HyperTwist. Validate current training-foundation owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 5","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","tao-yu/Alg-Trainer - landed first-party algorithm-training foundation owner lane; future work starts from owned HyperTwist surfaces and live training-stack authority.","tao-yu/Alg-Trainer is already landed for its current justified broad algorithm-training shell and case-corpus slices. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","5.0","HT_training_stack","HT_training_stack_0001","Implemented algorithm-training foundation owner","Landed algorithm-training foundation owner lane for HyperTwist; validate boundaries and widen only through owned first-party work.","HyperTwist","Implemented algorithm-training foundation owner","integrate","moderate modification","medium","tao-yu/alg-trainer","1.0","Locked Parallel Foundation","2.0","Already-landed training-foundation owner row for broad algorithm-shell, case-corpus, drill-flow, and smartcube-capable drill families; no donor thesis remains for the current slice.","Implemented training foundation owner lane","Included","P0","Keep in canon as an already-landed first-party training-foundation owner lane and route all future work through owned widening.","2.0","5.0","3.0","8548.0","111.0","","tao-yu/alg-trainer","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4.0","1","2.0","156.0","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Already landed: start from first-party owner surfaces and landed preserve authority, not donor-transfer framing.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 1R closed. Preserve as a landed first-party permissive lane; keep notices and attribution visible and widen only through ordinary owned enhancement work." -"1749.0","rhasspy/piper","https://github.com/rhasspy/piper","multi-project","4.0","71.0","80.0","C","voice / multimodal I/O","subsystem donor","multimodal donor","donor bench","repurpose","moderate modification","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended).","Repurpose selected subsystems rather than the whole product. Mine the repo for lean local TTS runtime, HTTP wrapping, voice loading and download logic, streaming WAV and raw output, and ONNX/eSpeak integration; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: coqui-ai/TTS, ggml-org/whisper.cpp, SYSTRAN/faster-whisper.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a lean offline TTS sidecar or direct local narration donor.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Isolate streaming/audio pipeline; Normalize command schema; Add local/offline fallback layer","deep source audit","Hidden value often lives in streaming segmentation, VAD, device abstraction, latency mitigation, translation chains, and local/offline fallback paths.","Inspect C++ runtime core; voice loading and download path; streaming output; HTTP service boundary; speaker and phonemization config; selected voice artifact constraints.","Inspect package manifests, README/docs, src tree, examples, tests, build configs, voice catalog files, and hidden runtime switches. Look for ONNX runtime integration, phonemization, lightweight service boundaries, audio streaming, voice acquisition, and deployment constraints.","Audit rhasspy/piper as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: C++ runtime core, voice loading and download path, streaming output, HTTP service boundary, speaker and phonemization config, and selected voice artifact constraints. Decide whether it should remain the lean direct local TTS sidecar candidate and what should stay behind a bounded local voice seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/fixtures, and any subsystem stronger than the visible shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","exclude from core, keep as donor","Do not let it consume roadmap as a full product shell; mine reusable engines, adapters, schemas, UX patterns, or datasets.","medium-low","single-source signal; clear taxonomy; mostly donor/reference role","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended).","rhasspy/piper is treated as repurpose for multi-project because visible metadata points to the voice / speech / audio layer. Surface signal: rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended). The fit looks real, but more as a donor/augmenter than as a standalone foundation.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0004","voice / speech / audio","Repurpose selectively for multi-project. Its source-backed role is a lean local TTS sidecar candidate, not an exclusion-only adjunct.","future/adjacent use","voice / speech / audio","repurpose","moderate modification","medium","rhasspy/piper","1.0","Donor Bench","4.0","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; lean direct local TTS sidecar candidate.","Cross-project / future-adjacent","Included","P2","rhasspy/piper is placed in Donor Bench for multi-project because it provides the leanest current local TTS runtime seam in the voice stack. Recommended action remains repurpose, but the real retained value is ONNX and eSpeak runtime simplicity, streaming output, and deployable local HTTP wrapping rather than broad voice-platform scope.","4.0","2.0","2.0","8565.0","8.0","","rhasspy/piper","multi-project","","","","","","","","","","Original global Phase G v4 retained","MIT code; voice artifacts reviewed separately","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4.0","3","4.0","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. The real review point is selected voice artifacts, not the runtime code; keep voice selection separate from code adoption.","Use directly as a bounded local TTS sidecar or simple HTTP service; keep selected voice artifacts under separate review.","Typically preserve notices, attribution, and license text where required; review chosen voices or model cards separately from the code license.","Usually unnecessary unless you later replace the runtime for packaging or architecture reasons.","high","voice-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-G is closed. Preserve as the landed bounded local narration sidecar lane; keep broad voice-model and payload review separate." +"1749.0","rhasspy/piper","https://github.com/rhasspy/piper","multi-project","4.0","71.0","80.0","C","implemented local narration sidecar owner","implemented owner","local narration sidecar","landed bounded narration sidecar owner","integrate","direct","This row is already live for its current justified slice. Preserve the landed local narration sidecar lane, and widen only through owned HyperTwist work.","Landed owner value: local narration sidecar runtime, voice loading, streaming output, and bounded local voice-service behavior already live in first-party HyperTwist code.","Preserve as the landed first-party local narration sidecar lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-G packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed local narration sidecar slice. Keep coqui-ai/TTS as the richer advanced narration sidecar, not a donor merge target for the already landed local narration slice.","Repurpose here means: ordinary owned enhancement of the landed local narration sidecar, not subsystem harvesting from an external candidate queue.","Validate current first-party owner boundaries; identify narrower owned widening targets only if needed; preserve existing local narration, voice-loading, and bounded service contracts; keep notices and voice-artifact review boundaries visible","live owner boundary review","Remaining value is in already-landed sidecar boundaries and future owned widening targets, not donor extraction.","Which remaining local narration sidecar gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-G packet?","Inspect current first-party local narration sidecar boundary plus unresolved owned widening targets only.","Audit rhasspy/piper only as an already-landed permissive narration sidecar lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded local narration sidecar slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","do not exclude","This row is already implemented for its current justified slices and should no longer be treated as a donor extraction candidate.","high","single-source signal; clear taxonomy; active integration value; bounded landed narration-sidecar fit","medium","memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","rhasspy/piper – https://github.com/rhasspy/piper – MIT – Real-time TTS (recommended).","rhasspy/piper is already landed for its current justified local narration sidecar slice. Its row-source posture should now be preserve-and-owned-widen rather than donor extraction.","memo","False","True","0.0","1.0","MU_misc","MU_misc_0004","Implemented local narration sidecar owner","Landed local narration sidecar lane for HyperTwist; validate boundaries and widen only through owned first-party work.","future/adjacent use","Implemented local narration sidecar owner","repurpose","moderate modification","medium","rhasspy/piper","1.0","Donor Bench","4.0","Already-landed local narration sidecar row; no donor thesis remains for the current slice.","Implemented local narration sidecar lane","Included","P2","Keep in canon as an already-landed first-party local narration sidecar lane and route all future work through owned widening.","4.0","2.0","2.0","8565.0","8.0","","rhasspy/piper","multi-project","","","","","","","","","","Original global Phase G v4 retained","MIT code; voice artifacts reviewed separately","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4.0","3","4.0","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified local narration sidecar slice is already implemented in first-party HyperTwist code. Keep voice-artifact review separate from the already-landed code-side judgment.","Already landed: start from first-party local narration sidecar surfaces plus landed packet authority, and keep selected voice review separate.","Typically preserve notices, attribution, and license text where required; review chosen voices or model cards separately from the code license.","Usually unnecessary unless you later replace the runtime for packaging or architecture reasons.","high","implemented-voice-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-G is closed. Preserve as the landed bounded local narration sidecar lane; keep broad voice-model and payload review separate." "5.0","cubing/cubing.js","https://github.com/cubing/cubing.js","HyperTwist","5.0","152.0","185.0","A","interface / visualization / shell surface","foundation engine","visualization donor","locked strategic donor","integrate","direct","Keep the core engine or major subsystem mostly intact; change wrappers, branding, storage/auth, and integration seams so it becomes a first-class part of the target stack. For this repo class, that usually means preserving scene/layout primitives and replacing surrounding data models or backend assumptions.","Other Notable ResourcesCubing.js library (for building your own tools): https://github.com/cubing/cubing.js – Open-source core used in many trainers above.","Integrate as a ui / design / frontend subsystem for HyperTwist. Preserve the strongest existing pieces — component library, canvas/animation engine, interaction patterns, layout/state models, accessibility hooks, theming, editor widgets — and expose them behind a portfolio-stable interface. Wire first into HactarCE/Hyperspeedcube, then into kkoomen/qbr for orchestration, visualization, or data exchange.","Consolidate under the Hyperspeedcube + cubing.js + qbr nucleus, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: HactarCE/Hyperspeedcube, kkoomen/qbr.","Repurpose here means: turn it into a frontend interaction donor, canvas/editor pattern library, or polished shell layer on top of existing anchors.","Map module boundaries; Identify hidden reusable internals; Define adapter/API boundary to target anchors; Write extraction tests against upstream behavior; Extract layout/scene primitives; Map import/export schema; Detach UI shell from backend assumptions","full subsystem extraction review","Hidden value often sits in scene graph/canvas model, component primitives, import/export schema, gesture/keyboard interactions, and plugin-ready layout abstractions.","Inspect scene graph/canvas data model; layout primitives; component library; keyboard/gesture interactions; import/export schema; theming; plugin or extension hooks.","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, config files, migrations/schemas, and hidden feature flags or experimental modules. Look for reusable canvas/editor components, design tokens, state models, keyboard shortcuts, drag/drop, accessibility, virtualization, and polished interaction patterns.","Audit cubing/cubing.js as a interface / visualization / shell surface candidate for HyperTwist. Do not stop at README-level features. Inspect: Inspect scene graph/canvas data model; layout primitives; component library; keyboard/gesture interactions; import/export schema; theming; plugin or extension hooks. Decide whether the best extraction path is direct and whether it belongs as foundation engine / visualization donor. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, plugin hooks, render/state models, datasets/test fixtures, and any subsystem stronger than the visible product shell.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","do not exclude","Keep in active merge-set and force full source audit before any demotion.","medium-high","single-source signal; clear taxonomy; active integration value; foundation-level fit","high","portfolio anchor or repeatedly surfaced core candidate; memo mentions: 1","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","Other Notable ResourcesCubing.js library (for building your own tools): https://github.com/cubing/cubing.js – Open-source core used in many trainers above.","cubing/cubing.js is treated as integrate for HyperTwist because visible metadata points to the ui / design / frontend layer. Surface signal: Other Notable ResourcesCubing.js library (for building your own tools): https://github.com/cubing/cubing.js – Open-source core used in many trainers above. The likely value is substantial enough to preserve as a named subsystem rather than just mining isolated ideas.","memo","False","True","0.0","1.0","HT_cube_semantics","HT_cube_semantics_0001","cubing / algorithm training","Integrate primarily for HyperTwist. Its memo and bookmark signals place it in the cubing / algorithm training layer.","HyperTwist","cubing / algorithm training","integrate","moderate modification","medium","cubing/cubing.js","1.0","Locked Strategic Donor","1.0","Dual MPL/GPL classic-cubing anchor with strong donor value, but not a carefree private-source fork candidate.","Boundary-sensitive classic-cubing semantics and rendering donor","Included","P1","Keep as the canonical classic-cubing semantics and interop donor, but only through its practical MPL path or bounded adapter/package consumption.","2.0","4.0","3.0","11771.0","112.0","","cubing/cubing.js","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MPL-2.0 OR GPL-3.0-or-later","known_from_reference_material","uploaded_reference_docs","yes","hypertwist_and_scriptoriumai","HyperTwist","HyperTwist & ScriptoriumAI.txt","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","Existing v5 row reaffirmed or widened by v6 supplemental intake.","v6_unified_source_of_truth_pack","5.0","1","1.0","152.0","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","The repo is dual-licensed MPL-2.0 OR GPL-3.0-or-later. HyperTwist can consume it as a package or bounded adapter under the MPL side, but should avoid a carefree deep private source fork of upstream files.","Prefer package/dependency consumption or a bounded adapter seam under the MPL side; avoid deep private forks of upstream source files.","Preserve MPL notices and publish modifications to MPL-covered files when distribution obligations apply; avoid assuming the GPL side is the intended operational path.","Only if you later need to replace narrow upstream-covered seams with first-party equivalents or avoid carrying MPL-governed source modifications.","high","dual-license-boundary-review","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 4R-A closed. Preserve as the landed first-party classic-cubing semantic/runtime adapter lane through explicit MPL-aware dependency or adapter use; keep notices and publication duties explicit before any future direct upstream file modification." "6.0","cahidenes/rubiks-cube-solver","https://github.com/cahidenes/rubiks-cube-solver","HyperTwist","6.0","148.0","174.0","A","retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","retained bounded row","face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","retained bounded adjunct/comparison row","integrate","direct","This row is already closed for its current justified retained slice. Preserve the retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners, and reopen only if a narrower gap is later proven.","cahidenes/rubiks-cube-solver — MIT — opposite-corner capture heuristic, face-orientation fill logic, cube-string assembly from partial capture, and lightweight HSV or per-sticker bookkeeping retained only as a comparison adjunct behind qbr and rubix-cube-solver.","Retain only as the closed face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. No default widening packet is open; any future work must start from the landed owners and narrower gap proof.","Keep subordinate to qbr and rubix-cube-solver inside the current recognition stack. Use only for bounded cross-checking or disagreement reporting; do not form a separate recognition silo or reopen primary recognition ownership.","Integrate here means: only a narrower first-party widening if a concrete owner-side gap is later proven.","Validate closed retained boundary; preserve landed owner authority; record narrower reopen criteria only; do not promote to a standalone owner lane","closed retained-boundary review","Remaining value is in bounded adjunct, pedagogy-experiment, or comparison behavior beneath landed owners, not standalone owner promotion.","whether any narrower face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct gap remains after the landed qbr, rubix-cube-solver, and first-party correction-stack owners and the existing first-party surfaces.","Inspect the retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct slice only in relation to the landed qbr, rubix-cube-solver, and first-party correction-stack owners, existing first-party surfaces, and any unresolved narrower reopen gaps.","Audit cahidenes/rubiks-cube-solver only as a closed retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct row for HyperTwist. Validate that it remains bounded beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners and identify narrower reopen criteria only; do not frame it as a fresh implementation candidate or standalone owner lane.","kkoomen/qbr","foundation + perception donor","Use this repo against the partner as an augmenting layer; preserve the partner as the likely base and mine this repo for capabilities that improve breadth, UX, or specialization.","vivaansinghvi07/rubix-cube-solver","perception + replay donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cubing/cubing.js","state/render backend","Use the partner for canonical state or rendering abstractions and merge this repo's specialized logic on top.","No cross-project transfer by default","This row is already closed as a retained bounded row. Reuse should start only from narrower owner-side gap proof, not generic transfer framing.","keep bounded only","Do not promote this row into a standalone owner lane or a default widening packet.","high","Canonized hierarchy notes exist and the row is already closed beneath landed owners.","high","memo mentions: 5","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","cahidenes/rubiks-cube-solver — MIT — OpenCV cube detection + Kociemba solver. | cahidenes/rubiks-cube-solver — MIT — OpenCV + solver. | Yes — we already have several strong open-source visual models for cube recognition from earlier in our conversation. I went back through the entire history and pulled the exact ones we discussed (qbr, vivaansinghvi07/rubix-cube-solver, tentone/rubix-solver, cahidenes/rubiks-cube-solver). These are still the high","cahidenes/rubiks-cube-solver is already closed as a retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. Its row-source posture should now be bounded retain-and-reopen-only rather than candidate activation.","memo","False","True","0.0","5.0","HT_cube_vision","HT_cube_vision_0003","Retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","Closed retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct row for HyperTwist; preserve owner authority and reopen only if a narrower gap is proven.","HyperTwist","Retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct","integrate","heavy modification","medium","cahidenes/rubiks-cube-solver","1.0","Locked Strategic Donor","3.0","Closed retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct row beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners; no default widening packet is open for the current slice.","Retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct lane","Included","P1","Keep in canon only as a closed retained face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners; reopen only through narrower gap proof, not generic implementation routing.","2.0","5.0","3.0","11849.0","113.0","","cahidenes/rubiks-cube-solver","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","6.0","2","3.0","148.0","permissive_or_noncopyleft_known","direct_incorporation_ok","This repo is aligned with a direct integration path for HyperTwist because it is either already implemented, strategically central, or donor-grade without a visible copyleft constraint in the current materials. Deep incorporation is sensible if the source audit confirms architectural cleanliness.","Direct embed, vendored module, package dependency, or tightly integrated adapter as the architecture requires.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","high","strategic-or-implemented-component","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Normalized legacy candidate-core wording to dossier-backed strategic-donor posture on 2026-04-25.","selected_not_live_permissive_candidate","phase2rc_recognition_adjunct_gap_eval_only","Phase 2R-C plus the 2026-05-27 recognition-comparison adjunct hierarchy clarification are closed. Retain only as a narrow face-placement, cube-string assembly, and optional two-opposite-corner comparison adjunct beneath the landed qbr, rubix-cube-solver, and correction-stack owners; no default widening packet is open." "7.0","tentone/rubix-solver","https://github.com/tentone/rubix-solver","HyperTwist","7.0","148.0","174.0","A","retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","retained bounded row","native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","retained bounded adjunct/comparison row","integrate","direct","This row is already closed for its current justified retained slice. Preserve the retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners, and reopen only if a narrower gap is later proven.","tentone/rubix-solver — README-only MIT posture — quad clustering, square-mask color sampling, center-color face identification, and lightweight native face or state comparison retained only as a comparison adjunct behind qbr and rubix-cube-solver.","Retain only as the closed native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. No default widening packet is open; any future work must start from the landed owners and narrower gap proof.","Keep subordinate to qbr and rubix-cube-solver inside the current recognition stack. Use only for bounded native comparison, side-by-side validation, or disagreement reporting; do not form a separate recognition silo or promote the local solve shell.","Integrate here means: only a narrower first-party widening if a concrete owner-side gap is later proven.","Validate closed retained boundary; preserve landed owner authority; record narrower reopen criteria only; do not promote to a standalone owner lane","closed retained-boundary review","Remaining value is in bounded adjunct, pedagogy-experiment, or comparison behavior beneath landed owners, not standalone owner promotion.","whether any narrower native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct gap remains after the landed qbr, rubix-cube-solver, and first-party correction-stack owners and the existing first-party surfaces.","Inspect the retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct slice only in relation to the landed qbr, rubix-cube-solver, and first-party correction-stack owners, existing first-party surfaces, and any unresolved narrower reopen gaps.","Audit tentone/rubix-solver only as a closed retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct row for HyperTwist. Validate that it remains bounded beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners and identify narrower reopen criteria only; do not frame it as a fresh implementation candidate or standalone owner lane.","kkoomen/qbr","foundation + perception donor","Use this repo against the partner as an augmenting layer; preserve the partner as the likely base and mine this repo for capabilities that improve breadth, UX, or specialization.","vivaansinghvi07/rubix-cube-solver","perception + replay donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cubing/cubing.js","state/render backend","Use the partner for canonical state or rendering abstractions and merge this repo's specialized logic on top.","No cross-project transfer by default","This row is already closed as a retained bounded row. Reuse should start only from narrower owner-side gap proof, not generic transfer framing.","keep bounded only","Do not promote this row into a standalone owner lane or a default widening packet.","high","Canonized hierarchy notes exist and the row is already closed beneath landed owners.","high","memo mentions: 7","Licensing intentionally ignored as a decision filter in this canonical evaluation; assess only architecture, capability, donor value, and concept transfer.","","","","tentone/rubix-solver — MIT — OpenCV cube detection. | Yes — 100% possible to consolidate everything into one no-compromises, enterprise-grade platform. You're not half-arsing it, and neither am I. Modern vision models (and even classical OpenCV pipelines refined over the last decade) are more than accurate enough in 2026 for reliable small-square/facelet color recognition on a standard 3x3 (or larger) Rubik's Cube under normal lighting. Productio","tentone/rubix-solver is already closed as a retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners. Its row-source posture should now be bounded retain-and-reopen-only rather than candidate activation.","memo","False","True","0.0","7.0","HT_cube_vision","HT_cube_vision_0004","Retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","Closed retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct row for HyperTwist; preserve owner authority and reopen only if a narrower gap is proven.","HyperTwist","Retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct","integrate","heavy modification","medium","tentone/rubix-solver","1.0","Locked Strategic Donor","3.0","Closed retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct row beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners; no default widening packet is open for the current slice.","Retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct lane","Included","P1","Keep in canon only as a closed retained native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and first-party correction-stack owners; reopen only through narrower gap proof, not generic implementation routing.","2.0","5.0","3.0","11852.0","114.0","","tentone/rubix-solver","HyperTwist","","","","","","","","","","Original global Phase G v4 retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","7.0","2","3.0","148.0","permissive_or_noncopyleft_known","direct_incorporation_ok","Practical working assumption remains MIT from README and repo presentation, but the checked mirror lacks a bundled top-level license file. Keep this row permissive-active only as a subordinate recognition comparison adjunct, and capture the final authoritative upstream license text before any direct vendoring.","Direct embed, vendored module, package dependency, or tightly integrated adapter as the architecture requires.","Typically preserve notices, attribution, and license text where required; no special copyleft-driven disclosure posture is normally needed.","Usually unnecessary unless you later decide the existing implementation is too constraining architecturally.","medium","readme-only-license-capture-before-direct-vendoring","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Normalized legacy candidate-core wording to dossier-backed strategic-donor posture on 2026-04-25.","selected_not_live_permissive_candidate","phase2rc_recognition_adjunct_gap_eval_only","Phase 2R-C plus the 2026-05-27 recognition-comparison adjunct hierarchy clarification are closed. Retain only as a narrow native quad-sorting, square-mask color sampling, center-color face labeling, and face-state comparison adjunct beneath the landed qbr, rubix-cube-solver, and correction-stack owners; no default widening packet is open." diff --git a/docs/repo_portfolio_unified_source_audit_v6_3.csv b/docs/repo_portfolio_unified_source_audit_v6_3.csv index ba5a86b..612e5ed 100644 --- a/docs/repo_portfolio_unified_source_audit_v6_3.csv +++ b/docs/repo_portfolio_unified_source_audit_v6_3.csv @@ -185,7 +185,7 @@ 8) Confidence change after source audit 9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","PostHog/posthog is placed in Donor Bench for HyperTwist because it best serves the 'Telemetry / replay / feature-governance donor' role; recommended action remains 'repurpose' with repurposing scope 'moderate modification'. Its real retained value is replay diagnostics, flag governance, event-schema thinking, and service-boundary patterns rather than any vision or perception role.","Useful subsystem donor for HyperTwist in telemetry, replay diagnostics, feature flags, event-schema design, and vertical-slice control-plane patterns rather than the core runtime or product shell.","Audit PostHog/posthog as a telemetry / replay / feature-governance candidate for HyperTwist. Do not stop at README-level features. Inspect: replay routes and deep links, replay diagnostics, feature-flag CRUD/dependencies/evaluation, telemetry and event schemas, product/service boundaries, and MIT versus ee/ path splits. Decide whether the best extraction path remains moderate modification and which seams should stay bounded due mixed licensing or mission misfit. Return hidden modules, reusable schemas, protocol layers, plugin hooks, replay/debugging surfaces, and any subsystem stronger than the visible product shell.","HT_control_plane_0001","HT_control_plane","posthog/posthog","","","","","","","Original global P0-P3 source audit retained","MIT outside ee/; enterprise-restricted in ee/","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Usually indirect","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","2","3","72.0","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","The repo is mixed-license: MIT outside ee/ and enterprise-restricted inside ee/. Use only clearly MIT paths as bounded telemetry, replay, and feature-governance donor material, and exclude or reimplement enterprise-gated paths.","Use only clearly MIT paths outside ee/ as bounded telemetry, replay, and feature-governance donor surfaces; exclude enterprise paths or reimplement equivalent seams.","Keep MIT notices for reused paths and do not incorporate ee/ without separate commercial rights; verify path provenance before shipping.","Sometimes useful for enterprise-gated or off-mission slices, but not required for clearly MIT paths.","high","mixed-license-path-review-required","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_control_plane and normalized telemetry/replay/feature-governance wording on 2026-04-25.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 4R-D closed. Preserve as the landed first-party control-plane telemetry, replay-diagnostic, scheduled-change, early-access, and explicit root-MIT-core-versus-ee/ subtree-compliance lane; start future widening from the live-lane audit, then Phase 4R-D, then REPO_LICENSE_TRACKING.md; keep the explicit ee/ exclusion and mixed-license subtree boundary visible." "HactarCE/2x2x2x2-Scrambler","https://github.com/HactarCE/2x2x2x2-Scrambler","HyperTwist","Donor Bench","Focused restrictive clean-room donor target","P2","7496","9251","2.0","63.0","63.0","low-to-medium","Architecture only. Treat HactarCE/2x2x2x2-Scrambler as a design and subsystem reference first; source audit should look for transplantable patterns, adapters, data contracts, pipeline ideas, or UI/control abstractions before any decision to operationalize.","repurpose","architecture only","Determine the real reusable value of HactarCE/2x2x2x2-Scrambler for HyperTwist and decide whether it should be promoted, retained, or demoted in the v6 corpus.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Inspect state representations, move/alg parsers, scrambler generators, geometry/math cores, renderer abstractions, engine bindings, and XR/web surfaces.","Primary realization path: use as a simulation, training, renderer, binding, or integration donor inside HyperTwist's dual stack of physical-cube analysis and higher-dimensional virtual training.","Consolidate by HyperTwist layer: core puzzle logic, scramblers/algs, renderer/bindings, XR/game-engine surfaces, experiments/comparators.","Repurpose toward renderer abstractions, puzzle-logic libraries, solver bindings, training UIs, or XR/engine adapters.","HactarCE/Hyperspeedcube","foundation repo + feature donor","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into HactarCE/Hyperspeedcube for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","cubing/cubing.js","engine repo + interface donor","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into cubing/cubing.js for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","kkoomen/qbr","feature extraction only","Use HactarCE/2x2x2x2-Scrambler as a HyperTwist donor into kkoomen/qbr for puzzle logic, bindings, renderer ideas, or training/runtime augmentation.","multi-project","Audit for hidden abstractions that travel across projects.","Source reveals a strong reusable subsystem, extensibility layer, protocol boundary, renderer core, data model, or automation surface that clearly strengthens one of the project stacks.","Source reveals the repo is mostly documentation, thin wrappers, packaging glue, stale scaffolding, or a weak duplicate with no meaningful transplantable subsystem.","Source-audit note, role recommendation, hidden-value extraction, exact integration path, and reclassification decision.","Implemented capability; hidden reusable modules; strongest integration path; strongest merger path; upgrade triggers; downgrade triggers; final recommended bucket.","Use v6 unified board + P2 tier packet + project design language + relevant family references.","Keep as a narrow but real clean-room donor for Melinda 2x2x2x2 state encoding, handedness/parity repair, random-state generation, move-family representation, and flat debug/teaching views.","GPL scrambler with copied-port lineage notes; valuable only through restrictive clean-room extraction, not donor use.","Inspect HactarCE/2x2x2x2-Scrambler directly in source. Do not dismiss for license. Preserve nuanced distinctions between donor, reserve, comparator, and exclusion.","HT_cube_semantics_0004","HT_cube_semantics","hactarce/2x2x2x2-scrambler","supplemental_v6_not_runtime_anchored","","","","","no","v6_unified_source_of_truth_pack","GPL-3.0","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","","2","3","63.0","mixed_or_boundary_sensitive_known","reverse_engineer_preferred","The repo is GPL-3.0 and the source explicitly notes a ported lineage from an earlier scrambler. Retain it only as a focused clean-room donor target and implement any valuable behavior through a scrubbed first-party specification.","Model A may inspect the restrictive source; Model B should implement only from a scrubbed first-party specification.","Direct incorporation would require GPL-compatible distribution/compliance and is not the planned HyperTwist path.","Yes — this is the preferred path for reproducing the 2x2x2x2 scrambler/state behaviors in first-party code.","high","gpl-clean-room-donor","no","","","","","","","","","","","","","v6.3_final_source_of_truth","Assigned to HT_cube_semantics during cluster normalization on 2026-04-25.","implemented_live_clean_room_verified","landed_clean_room_preserve","Later clean-room sequence closed through Bound 4. Preserve as the landed first-party Melinda state legality, random-state generation, move-family application, scramble-packet, and flat debug/teaching owner lane; start future widening from first-party owner surfaces, REPO_LICENSE_TRACKING.md, MODEL_B_SOURCE_ACCESS_BOUNDARY.md, and the scrubbed Model A handoff; never from the restrictive mirror." -"SYSTRAN/faster-whisper","https://github.com/SYSTRAN/faster-whisper","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8351","10345","49.0","71.0","80.0","medium","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving parsers/graph schema/indexing while swapping layout, storage, or UX layers.","repurpose","moderate modification","Determine whether SYSTRAN/faster-whisper should stay donor/merge-tier for multi-project, be promoted, or be demoted; identify concrete salvageable modules and best merge path.","STT API surface, VAD chunking, batch inference, timestamps, service boundaries, model/runtime constraints, hidden modules","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, benchmark scripts, and hidden experimental modules. Look for VAD, batch inference, timestamps, hotwords, model/runtime constraints, and service-layer boundaries.","Inspect transcription API and dataclasses; batched inference; VAD chunking; word timestamps; hotwords and prefix conditioning; service-layer boundaries; benchmark and test coverage.","Repurpose selected subsystems rather than the whole product. Mine the repo for VAD-aware segmentation, batch transcription, timestamps, hotword and prefix conditioning, and Python service ergonomics; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: ggml-org/whisper.cpp, rhasspy/piper, coqui-ai/TTS.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a Python STT service, timestamped speech pipeline, or batch transcription donor.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","project-local first","Cross-project transfer is possible, but the value is clearest inside the assigned project until source audit exposes more reusable primitives.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Capability inventory + salvage targets + promotion/demotion verdict","1) Confirmed visible capabilities +"SYSTRAN/faster-whisper","https://github.com/SYSTRAN/faster-whisper","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8351","10345","49.0","71.0","80.0","medium","This row is already live for its current justified slice. Preserve the landed complementary Python transcription-orchestration sidecar above the native speech-session boundary, and widen only through owned HyperTwist work.","integrate","direct","Validate the current first-party owner boundaries for SYSTRAN/faster-whisper and record any narrower owned widening targets that remain after the landed Phase 6R-F slice.","STT API surface, VAD chunking, batch inference, timestamps, service boundaries, model/runtime constraints, hidden modules","Inspect current first-party Python transcription-orchestration sidecar boundary plus unresolved owned widening targets only.","Which remaining Python transcription-orchestration gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-F packet?","Preserve as the landed first-party complementary Python transcription sidecar lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-F packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed Python transcription sidecar slice. Keep whisper.cpp as the harder native speech anchor, not a donor merge target for the already landed orchestration slice.","Repurpose here means: ordinary owned enhancement of the landed Python transcription sidecar, not subsystem harvesting from an external candidate queue.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded Python transcription sidecar slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Owner-boundary note + owned widening criteria + explicit no-donor-thesis posture.","1) Confirmed visible capabilities 2) Hidden capabilities found only in source 3) Best salvageable modules/files/packages 4) Integration path into target project @@ -193,8 +193,8 @@ 6) Best merge partners and exact coupling seam 7) Reasons to promote / retain / demote 8) Confidence change after source audit -9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","SYSTRAN/faster-whisper is placed in Donor Bench for multi-project because it provides the clearest Python STT service-layer path in the voice stack. Recommended action remains repurpose, but the real retained value is batch transcription, VAD-aware chunking, timestamps, and Python-side service integration rather than any code-intelligence or graph role.","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; strongest current Python STT donor and service-layer candidate in the voice stack.","Audit SYSTRAN/faster-whisper as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: transcription API and dataclasses, batched inference, VAD chunking, word timestamps, hotwords and prefix conditioning, service-layer boundaries, and benchmark/test coverage. Decide whether it should remain the primary Python STT donor and what should stay behind a bounded Python service seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/benchmarks, and any subsystem stronger than the visible shell.","MU_misc_0001","MU_misc","systran/faster-whisper","","","","","","","Original global P0-P3 source audit retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. Treat it as a bounded Python STT donor/service candidate; review chosen model checkpoints separately, but no clean-room path is required by default.","Use directly as a bounded Python STT service or adapter layer; keep model/runtime selection and deployment behind a speech-input seam.","Typically preserve notices, attribution, and license text where required; review selected model checkpoints separately from the code license.","Usually unnecessary unless you later decide to replace a narrow hot path or remove Python/CTranslate2 dependencies.","high","model-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-F is closed. Preserve as the landed complementary Python transcription-orchestration lane above the existing speech session boundary; do not widen it into top-level provider/session ownership." -"coqui-ai/TTS","https://github.com/coqui-ai/TTS","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8352","10346","49.0","71.0","80.0","medium","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","repurpose","moderate modification","Determine whether coqui-ai/TTS should stay donor/merge-tier for multi-project, be promoted, or be demoted; identify concrete salvageable modules and best merge path.","API surface, synthesis orchestration, multilingual and speaker handling, voice conversion, model registry, deployment boundary, hidden modules","Inspect package manifests, README/docs, src tree, examples, tests, CI workflows, model registry files, and hidden experimental modules. Look for synthesis orchestration, sentence splitting, multilingual and speaker handling, voice conversion, server deployment patterns, and model-license metadata.","Inspect public API, synthesis and orchestration spine, server boundary, multilingual and speaker handling, XTTS path, model registry and license metadata, and optional voice conversion.","Repurpose selected subsystems rather than the whole product. Mine the repo for synthesis orchestration, multilingual and speaker handling, local service wrappers, voice-conversion paths, and model-registry/license handling; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: rhasspy/piper, ggml-org/whisper.cpp, SYSTRAN/faster-whisper.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a bounded voice-service seam, coach narration donor, or multilingual TTS and cloning donor.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Capability inventory + salvage targets + promotion/demotion verdict","1) Confirmed visible capabilities +9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","Keep in canon as an already-landed first-party Python transcription sidecar lane and route all future work through owned widening.","Already-landed complementary Python transcription-orchestration sidecar row; no donor thesis remains for the current slice.","Audit SYSTRAN/faster-whisper only as an already-landed permissive speech sidecar lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","MU_misc_0001","MU_misc","systran/faster-whisper","","","","","","","Original global P0-P3 source audit retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified Python transcription-orchestration slice is already implemented in first-party HyperTwist code. Keep model and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party Python transcription sidecar surfaces plus landed packet authority, and do not widen it into top-level provider or session ownership by default.","Typically preserve notices, attribution, and license text where required; review selected model checkpoints separately from the code license.","Usually unnecessary unless you later decide to replace a narrow hot path or remove Python/CTranslate2 dependencies.","high","implemented-model-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-F is closed. Preserve as the landed complementary Python transcription-orchestration lane above the existing speech session boundary; do not widen it into top-level provider/session ownership." +"coqui-ai/TTS","https://github.com/coqui-ai/TTS","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8352","10346","49.0","71.0","80.0","medium","This row is already live for its current justified slice. Preserve the landed advanced narration orchestration lane under the current MPL and payload-review boundary, and widen only through owned HyperTwist work.","integrate","direct","Validate the current first-party owner boundaries for coqui-ai/TTS and record any narrower owned widening targets that remain after the landed Phase 6R-H slice.","API surface, synthesis orchestration, multilingual and speaker handling, voice conversion, model registry, deployment boundary, hidden modules","Inspect current first-party advanced narration orchestration boundary plus unresolved owned widening targets only.","Which remaining advanced narration orchestration gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-H packet?","Preserve as the landed first-party advanced narration orchestration lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-H packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed advanced narration orchestration slice. Keep broad voice-model, payload, and cloning review separate from the already landed code-side lane.","Repurpose here means: ordinary owned enhancement of the landed advanced narration orchestration lane, not subsystem harvesting from an external candidate queue.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded advanced narration orchestration slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Owner-boundary note + owned widening criteria + explicit no-donor-thesis posture.","1) Confirmed visible capabilities 2) Hidden capabilities found only in source 3) Best salvageable modules/files/packages 4) Integration path into target project @@ -202,8 +202,8 @@ 6) Best merge partners and exact coupling seam 7) Reasons to promote / retain / demote 8) Confidence change after source audit -9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","coqui-ai/TTS is placed in Donor Bench for multi-project because it provides the richest current voice-output and coaching architecture in the stack. Recommended action remains repurpose, but the real retained value is synthesis orchestration, multilingual and speaker handling, XTTS/voice-conversion paths, and model-registry discipline rather than broad assistant scope.","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; strongest current voice and coaching donor, but boundary-sensitive because code and model payload licensing must be separated.","Audit coqui-ai/TTS as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: public API surface, synthesis/orchestration spine, server boundary, multilingual and speaker handling, XTTS path, model registry and license metadata, and optional voice conversion. Decide whether it should remain the strongest voice/coaching donor and what should stay behind a bounded voice-service seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/fixtures, and any subsystem stronger than the visible shell.","MU_misc_0002","MU_misc","coqui-ai/tts","","","","","","","Original global P0-P3 source audit retained","MPL-2.0 code; mixed model payload licenses","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","Code is usable under MPL-2.0, but selected model weights carry mixed per-model licenses and some require separate terms. Keep the repo behind a bounded voice-service seam and decide model adoption case by case rather than treating it as a blanket permissive dependency.","Use the code behind a bounded voice-service seam; select model weights individually and keep model-license decisions separate from code adoption.","Preserve MPL notices and file-level obligations where applicable, and review each chosen model license or ToS separately before shipping.","Sometimes useful only if you later need a fully proprietary embedded voice stack or want to avoid model-license entanglement; not the default path.","medium","model-license-selection-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 6R-H is closed. Preserve as the landed bounded advanced narration orchestration lane under the current MPL boundary doctrine; keep model, voice, and payload review separate from the code-license judgment." -"ggml-org/whisper.cpp","https://github.com/ggml-org/whisper.cpp","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8353","10347","49.0","71.0","80.0","medium","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","repurpose","moderate modification","Determine whether ggml-org/whisper.cpp should stay donor/merge-tier for multi-project, be promoted, or be demoted; identify concrete salvageable modules and best merge path.","native STT runtime seam, VAD, grammar-constrained decoding, server boundary, portability, hidden modules","Inspect package manifests, README/docs, src/include tree, examples, tests, CI workflows, build configs, model tooling, and hidden experimental modules. Look for VAD, grammar support, streaming/segmentation, server boundaries, device/runtime abstraction, and performance shortcuts.","Inspect C/C++ API surface; VAD path; grammar-constrained decoding; server/runtime examples; model loading and portability seams; tests and benchmarks.","Repurpose selected subsystems rather than the whole product. Mine the repo for native STT runtime seams, VAD, grammar-constrained decoding, segmented speech capture, and server-side deployment patterns; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: SYSTRAN/faster-whisper, rhasspy/piper, coqui-ai/TTS.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into an offline STT sidecar, grammar-constrained command surface, or native speech-input donor.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Capability inventory + salvage targets + promotion/demotion verdict","1) Confirmed visible capabilities +9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","Keep in canon as an already-landed first-party advanced narration orchestration lane and route all future work through owned widening while keeping payload review separate.","Already-landed advanced narration orchestration row under the current MPL and payload-review boundary; no donor thesis remains for the current slice.","Audit coqui-ai/TTS only as an already-landed boundary-sensitive narration owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","MU_misc_0002","MU_misc","coqui-ai/tts","","","","","","","Original global P0-P3 source audit retained","MPL-2.0 code; mixed model payload licenses","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","mixed_or_boundary_sensitive_known","bounded_sidecar_or_selective_reimplementation","The code boundary is MPL and the current justified advanced narration slice is already implemented in first-party HyperTwist code. Keep model, voice, and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party advanced narration owner surfaces plus landed packet authority, and keep model and payload review explicitly separate.","Preserve MPL notices and file-level obligations where applicable, and review each chosen model license or ToS separately before shipping.","Sometimes useful only if you later need a fully proprietary embedded voice stack or want to avoid model-license entanglement; not the default path.","medium","implemented-model-license-selection-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_boundary_sensitive","landed_boundary_sensitive_preserve","Phase 6R-H is closed. Preserve as the landed bounded advanced narration orchestration lane under the current MPL boundary doctrine; keep model, voice, and payload review separate from the code-license judgment." +"ggml-org/whisper.cpp","https://github.com/ggml-org/whisper.cpp","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8353","10347","49.0","71.0","80.0","medium","This row is already live for its current justified slices. Preserve the landed native speech-session boundary, live microphone shell, permission-readiness shell, and payload-custody boundary, and widen only through owned HyperTwist work.","integrate","direct","Validate the current first-party owner boundaries for ggml-org/whisper.cpp and record any narrower owned widening targets that remain after the landed Phase 6R-E/U/V/W slices.","native STT runtime seam, VAD, grammar-constrained decoding, server boundary, portability, hidden modules","Inspect current first-party native speech-session, microphone shell, readiness shell, and payload-custody boundaries plus unresolved owned widening targets only.","Which remaining native speech-session, microphone-shell, permission-readiness, or payload-custody gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-E/U/V/W packets?","Preserve as the landed first-party native speech-input owner lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-E/U/V/W packets; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed native speech session and shell slices. Keep faster-whisper as the complementary Python transcription sidecar and piper/coqui as narration-side sidecars, not donor merge targets for the already landed native speech slice.","Repurpose here means: ordinary owned enhancement of the landed native speech-input owner lane, not subsystem harvesting from an external candidate queue.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded native speech session and shell slices. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Owner-boundary note + owned widening criteria + explicit no-donor-thesis posture.","1) Confirmed visible capabilities 2) Hidden capabilities found only in source 3) Best salvageable modules/files/packages 4) Integration path into target project @@ -211,8 +211,8 @@ 6) Best merge partners and exact coupling seam 7) Reasons to promote / retain / demote 8) Confidence change after source audit -9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","ggml-org/whisper.cpp is placed in Donor Bench for multi-project because it is the clearest native/offline STT anchor in the voice stack. Recommended action remains repurpose, but the real retained value is a bounded speech-input runtime, VAD, grammar-constrained decoding, and portable deployment rather than a full product shell.","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; strongest current native/offline STT sidecar candidate in the voice stack.","Audit ggml-org/whisper.cpp as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: C/C++ API surface, VAD, grammar-constrained decoding, server/runtime examples, model loading and portability seams, and benchmark/test coverage. Decide whether it should remain the primary offline STT sidecar candidate and what should stay behind a bounded native seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/benchmarks, and any subsystem stronger than the visible shell.","MU_misc_0003","MU_misc","ggml-org/whisper.cpp","","","","","","","Original global P0-P3 source audit retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. This repo is best used as a bounded offline STT sidecar or native speech-input seam; no clean-room path is required by default.","Use directly as a bounded native STT sidecar or library adapter; keep grammar, VAD, and model/runtime choices behind a speech-input seam.","Typically preserve notices, attribution, and license text where required; review selected model files or distributions separately from the code license.","Usually unnecessary unless you later choose to replace a narrow hot path or fully internalize the runtime.","high","model-artifact-review-recommended","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-E, Phase 6R-U, Phase 6R-V, and Phase 6R-W are closed. Preserve as the landed bounded native speech-session, microphone-shell, permission-readiness, and payload-custody lane; keep broader payload shipping and model-license review separate." -"rhasspy/piper","https://github.com/rhasspy/piper","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8354","10348","49.0","71.0","80.0","medium","Retain the valuable internal engine, but expect to replace UI/product shell, adapt schemas/APIs, and refactor boundaries so it can plug into the target anchors cleanly. For this repo class, that usually means preserving streaming/audio pipeline logic while adapting commands, wake flows, and assistant integration.","repurpose","moderate modification","Determine whether rhasspy/piper should stay donor/merge-tier for multi-project, be promoted, or be demoted; identify concrete salvageable modules and best merge path.","local TTS runtime seam, ONNX and eSpeak integration, streaming output, HTTP service boundary, voice catalog, hidden modules","Inspect package manifests, README/docs, src tree, examples, tests, build configs, voice catalog files, and hidden runtime switches. Look for ONNX runtime integration, phonemization, lightweight service boundaries, audio streaming, voice acquisition, and deployment constraints.","Inspect C++ runtime core; voice loading and download path; streaming output; HTTP service boundary; speaker and phonemization config; selected voice artifact constraints.","Repurpose selected subsystems rather than the whole product. Mine the repo for lean local TTS runtime, HTTP wrapping, voice loading and download logic, streaming WAV and raw output, and ONNX/eSpeak integration; keep what materially shortens build time, but rebind data contracts, permissions, storage, and deployment to the target architecture. Best first pairing order: coqui-ai/TTS, ggml-org/whisper.cpp, SYSTRAN/faster-whisper.","Consolidate under the project-specific anchor stack, not beside it as a separate silo. Normalize data contracts, auth/permissions, storage, and telemetry; then attach as a service, plugin, canvas layer, trainer, or analysis module. Descending combination order: sentrux/sentrux, HactarCE/Hyperspeedcube, outline/outline.","Repurpose here means: turn it into a lean offline TTS sidecar or direct local narration donor.","project-local anchor","base + donor","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","shared portfolio utility","augmenter","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","cross-project transfer candidate","future merger","Treat this pairing as a candidate donor merge rather than a replacement decision; inspect module boundaries to determine which side owns the final shell.","VectorShell | HyperTwist | ScriptoriumAI","This capability is broadly portable across the portfolio because interaction, orchestration, and shell/UI patterns can be shared with thin domain adapters.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Capability inventory + salvage targets + promotion/demotion verdict","1) Confirmed visible capabilities +9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","Keep in canon as an already-landed first-party native speech owner lane and route all future work through owned widening.","Already-landed native speech-session, microphone-shell, readiness, and payload-custody owner row; no donor thesis remains for the current slice.","Audit ggml-org/whisper.cpp only as an already-landed permissive speech owner lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","MU_misc_0003","MU_misc","ggml-org/whisper.cpp","","","","","","","Original global P0-P3 source audit retained","MIT","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified native speech-session and shell slice is already implemented in first-party HyperTwist code. Keep model and payload review separate from the already-landed code-side judgment.","Already landed: start from first-party native speech owner surfaces plus landed packet authority, and keep broader payload review separate.","Typically preserve notices, attribution, and license text where required; review selected model files or distributions separately from the code license.","Usually unnecessary unless you later choose to replace a narrow hot path or fully internalize the runtime.","high","implemented-model-artifact-review-recommended","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-E, Phase 6R-U, Phase 6R-V, and Phase 6R-W are closed. Preserve as the landed bounded native speech-session, microphone-shell, permission-readiness, and payload-custody lane; keep broader payload shipping and model-license review separate." +"rhasspy/piper","https://github.com/rhasspy/piper","multi-project","Donor Bench","Cross-project / future-adjacent","P2","8354","10348","49.0","71.0","80.0","medium","This row is already live for its current justified slice. Preserve the landed local narration sidecar lane, and widen only through owned HyperTwist work.","integrate","direct","Validate the current first-party owner boundaries for rhasspy/piper and record any narrower owned widening targets that remain after the landed Phase 6R-G slice.","local TTS runtime seam, ONNX and eSpeak integration, streaming output, HTTP service boundary, voice catalog, hidden modules","Inspect current first-party local narration sidecar boundary plus unresolved owned widening targets only.","Which remaining local narration sidecar gaps, if any, are not already covered by the landed HyperTwist code and the bounded Phase 6R-G packet?","Preserve as the landed first-party local narration sidecar lane. Start any future widening from owned HyperTwist surfaces, FEATURE_REGISTRY, ROADMAP, REPO_LICENSE_TRACKING, and the landed Phase 6R-G packet; do not route work through donor-extraction framing.","Treat current first-party HyperTwist code as the owner for the landed local narration sidecar slice. Keep coqui-ai/TTS as the richer advanced narration sidecar, not a donor merge target for the already landed local narration slice.","Repurpose here means: ordinary owned enhancement of the landed local narration sidecar, not subsystem harvesting from an external candidate queue.","","","","","","","","","","Owned widening only","The row is already live inside HyperTwist for its bounded local narration sidecar slice. Further work should start from first-party owner surfaces, feature registry, roadmap, license tracking, and landed packet authority rather than donor-transfer or merger-thesis framing.","Upgrade if source reveals clean modular architecture, reusable core abstractions, strong adapters/plugins, robust tests, and direct fit to a locked stack.","Demote if reusable value is mostly superficial, undocumented complexity overwhelms salvage value, or higher-ranked repos clearly dominate the same role.","Owner-boundary note + owned widening criteria + explicit no-donor-thesis posture.","1) Confirmed visible capabilities 2) Hidden capabilities found only in source 3) Best salvageable modules/files/packages 4) Integration path into target project @@ -220,7 +220,7 @@ 6) Best merge partners and exact coupling seam 7) Reasons to promote / retain / demote 8) Confidence change after source audit -9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","rhasspy/piper is placed in Donor Bench for multi-project because it provides the leanest current local TTS runtime seam in the voice stack. Recommended action remains repurpose, but the real retained value is ONNX and eSpeak runtime simplicity, streaming output, and deployable local HTTP wrapping rather than broad voice-platform scope.","Useful subsystem donor for multi-project, primarily in the 'Cross-project / future-adjacent' role; lean direct local TTS sidecar candidate.","Audit rhasspy/piper as a voice / multimodal I/O candidate for multi-project. Do not stop at README-level features. Inspect: C++ runtime core, voice loading and download path, streaming output, HTTP service boundary, speaker and phonemization config, and selected voice artifact constraints. Decide whether it should remain the lean direct local TTS sidecar candidate and what should stay behind a bounded local voice seam. Test the three merger paths in order: 1) project-local anchor [base + donor]; 2) shared portfolio utility [augmenter]; 3) cross-project transfer candidate [future merger]. Return hidden modules, reusable schemas, protocol layers, runtime boundaries, tests/fixtures, and any subsystem stronger than the visible shell.","MU_misc_0004","MU_misc","rhasspy/piper","","","","","","","Original global P0-P3 source audit retained","MIT code; voice artifacts reviewed separately","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. The real review point is selected voice artifacts, not the runtime code; keep voice selection separate from code adoption.","Use directly as a bounded local TTS sidecar or simple HTTP service; keep selected voice artifacts under separate review.","Typically preserve notices, attribution, and license text where required; review chosen voices or model cards separately from the code license.","Usually unnecessary unless you later replace the runtime for packaging or architecture reasons.","high","voice-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-G is closed. Preserve as the landed bounded local narration sidecar lane; keep broad voice-model and payload review separate." +9) Open questions / blockers","Primary: Phase G v4 board (canonical ranking and current bucket); Operational v3 board filtered to this repo; Merger matrix rows involving this repo; VS Code packet row for this repo, if present. Optional: Cluster narratives row for matching cluster; Bookmark occurrence rows for this repo. Do not attach v1/v2 or preliminary memo unless a judgment conflict, lineage ambiguity, or rationale gap needs arbitration.","Keep in canon as an already-landed first-party local narration sidecar lane and route all future work through owned widening.","Already-landed local narration sidecar row; no donor thesis remains for the current slice.","Audit rhasspy/piper only as an already-landed permissive narration sidecar lane for HyperTwist. Validate current owner boundaries and identify owned widening targets only; do not frame it as a donor-merge candidate.","MU_misc_0004","MU_misc","rhasspy/piper","","","","","","","Original global P0-P3 source audit retained","MIT code; voice artifacts reviewed separately","known_from_reference_material","uploaded_reference_docs","no","","","","Supplemental intake references are advisory only; v6 adjudication remains the source of truth.","Potentially relevant","yes","v6 unified all-project source-of-truth pack","v5_carry_forward","","v6_unified_source_of_truth_pack","4","3","71.0","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and the current justified local narration sidecar slice is already implemented in first-party HyperTwist code. Keep voice-artifact review separate from the already-landed code-side judgment.","Already landed: start from first-party local narration sidecar surfaces plus landed packet authority, and keep selected voice review separate.","Typically preserve notices, attribution, and license text where required; review chosen voices or model cards separately from the code license.","Usually unnecessary unless you later replace the runtime for packaging or architecture reasons.","high","implemented-voice-artifact-review-required","yes","","","","","","","","","","","","","v6.3_final_source_of_truth","Merged v6.1 copyleft layer and v6.2 SRE layer; use v6.3 docs + workbook as canonical handoff.","implemented_live_permissive","landed_permissive_preserve","Phase 6R-G is closed. Preserve as the landed bounded local narration sidecar lane; keep broad voice-model and payload review separate." "met4citizen/TalkingHead","https://github.com/met4citizen/TalkingHead","HyperTwist","Donor Bench","Browser embodied coach surface","P2","","","","","","medium","Retain the reusable avatar, lip-sync, and retargeting layers, but replace the demo shell, asset assumptions, and voice-service integration with HyperTwist-owned surfaces.","repurpose","moderate modification","Determine whether TalkingHead should remain the primary embodied coach donor and which runtime seams should stay bounded.","avatar runtime, lip-sync queueing, streamed speech, subtitle timing, avatarOnly embedding, retargeting","Inspect modules, examples, tests, site config, streaming demos, retargeter, and playback worklet code. Look for embodied-coach embedding, lip-sync, subtitle timing, gesture and expression surfaces, and asset assumptions.","Inspect talkinghead runtime; speech queueing and streaming; viseme and blendshape flow; avatarOnly embedding; retargeting; and audio worklet behavior.","Repurpose selected subsystems rather than the whole product. Mine the repo for embodied coach avatar runtime, lip-sync and subtitle timing, avatar-only embedding, retargeting, and streamed speech playback; keep what shortens build time, but rebind assets, voice services, and UI shell to the HyperTwist architecture.","","Repurpose here means: turn it into a browser-side embodied coach or companion layer.","","","","","","","","","","","","Upgrade if source reveals unusually reusable browser-runtime seams, clean adapter boundaries, robust tests, and direct leverage for HyperTwist companion surfaces.","Demote if retained value is mostly commodity glue, tightly bound to upstream shell assumptions, or clearly dominated by stronger neighboring repos in the same lane.","Capability inventory + salvage targets + donor-tier verdict","1) Confirmed source-backed browser/XR capabilities; 2) Best retained modules; 3) Boundaries to keep outside HyperTwist core; 4) Recommended pairing or dependency posture; 5) Risks or licensing notes.","Primary: HT_browser_surface cluster packet plus the repo-specific Markdown dossier. Optional: companion browser/XR rows in the same cluster.","met4citizen/TalkingHead is placed in Donor Bench for HyperTwist because it provides embodied coach UI, streaming lip-sync, retargeting, and avatar-only embedding behavior. Recommended action remains repurpose, but the retained value is a bounded browser coach surface rather than a general avatar product.","Useful subsystem donor for HyperTwist, primarily in the browser companion layer; strongest embodied coach and avatar presentation donor in the current stack.","Audit met4citizen/TalkingHead as a browser embodied-coach candidate for HyperTwist. Inspect the avatar runtime, streaming lip-sync, subtitle timing, avatarOnly embedding, retargeting, and audio worklet behavior. Decide which seams can be used directly and which must remain bounded behind the HyperTwist coaching shell.","HT_browser_surface_0001","HT_browser_surface","met4citizen/talkinghead","","","","","","","","MIT","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","v6_unified_source_of_truth_pack","","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is MIT and direct use is allowed. Treat it as a bounded browser-side donor for embodied coach presentation rather than as a product shell.","Use directly as a bounded browser-side dependency or adapter layer; keep voice services, product logic, and asset provenance outside the upstream shell.","Typically preserve notices, attribution, and license text where required; review sample avatars or media separately from the code license.","Usually unnecessary unless you later replace a narrow upstream layer for product-shaping reasons.","high","standard-notice-review","yes","","","","","","","","","","","","","v6.3_markdown_backfill","Backfilled from canonized Markdown dossier pass on 2026-04-24.","implemented_live_permissive","landed_permissive_preserve","Phase 3R-E closed. Preserve as the landed first-party embodied companion, narration, lip-sync, gesture, subtitle, and avatar-embed lane; start future widening from the live-lane audit, then the 3R-E implementation packet, then REPO_LICENSE_TRACKING.md." "apache/echarts","https://github.com/apache/echarts","HyperTwist","Donor Bench","Browser analytics and reporting surface","P2","","","","","","medium","Retain the reusable chart runtime and reporting patterns, but keep HyperTwist domain schemas, page shell, and training logic outside the upstream system.","repurpose","moderate modification","Determine whether echarts should remain the primary browser analytics and reporting donor for HyperTwist companion surfaces.","option manager, datastore, zoom and history, thumbnail and export, SSR, chart modularity","Inspect manifests, README/docs, src core, model, data, component, export, and SSR folders. Look for modular chart runtime, data-store abstractions, export surfaces, and reporting-specific UI behavior.","Inspect OptionManager, DataStore, zoom and history behavior, thumbnail and export features, SSR and hydration seams, and accessibility surface.","Repurpose selected subsystems rather than the whole product. Mine the repo for chart runtime, option and data-store patterns, export and save-as-image behavior, zoom and history handling, and SSR reporting surfaces; keep what shortens build time, but rebind analytics schemas and application shell to the HyperTwist architecture.","","Repurpose here means: turn it into a bounded browser analytics and reporting layer for dashboards, replay summaries, and coaching views.","","","","","","","","","","","","Upgrade if source reveals unusually reusable browser-runtime seams, clean adapter boundaries, robust tests, and direct leverage for HyperTwist companion surfaces.","Demote if retained value is mostly commodity glue, tightly bound to upstream shell assumptions, or clearly dominated by stronger neighboring repos in the same lane.","Capability inventory + salvage targets + donor-tier verdict","1) Confirmed source-backed browser/XR capabilities; 2) Best retained modules; 3) Boundaries to keep outside HyperTwist core; 4) Recommended pairing or dependency posture; 5) Risks or licensing notes.","Primary: HT_browser_surface cluster packet plus the repo-specific Markdown dossier. Optional: companion browser/XR rows in the same cluster.","apache/echarts is placed in Donor Bench for HyperTwist because it provides the strongest current browser analytics and reporting stack with SSR, export, and serious data-store behavior. Recommended action remains repurpose, but the retained value is bounded reporting and coaching analytics rather than a product shell.","Useful subsystem donor for HyperTwist, primarily in the browser companion layer; strongest current analytics and reporting donor in the browser stack.","Audit apache/echarts as a browser analytics and reporting candidate for HyperTwist. Inspect the modular chart runtime, OptionManager and DataStore, export surfaces, zoom and history behavior, SSR path, and accessibility seams. Decide which parts should remain direct dependencies versus concept-only references.","HT_browser_surface_0002","HT_browser_surface","apache/echarts","","","","","","","","Apache-2.0","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","v6_unified_source_of_truth_pack","","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is Apache-2.0 and direct use is allowed. Treat it as a bounded reporting and analytics donor.","Use directly as a bounded browser analytics dependency; keep HyperTwist data contracts and product logic outside the upstream shell.","Preserve LICENSE and NOTICE materials where required and review redistributed assets separately from the code license.","Usually unnecessary unless you later replace a narrow upstream layer for product-shaping reasons.","high","notice-file-review","yes","","","","","","","","","","","","","v6.3_markdown_backfill","Backfilled from canonized Markdown dossier pass on 2026-04-24.","implemented_live_permissive","landed_permissive_preserve","Phase 3R-C closed. Preserve as the landed first-party analytics, reporting, export, and progress-visualization lane; start future widening from the live-lane audit, then the 3R-C implementation packet, then REPO_LICENSE_TRACKING.md." "ecomfe/echarts-gl","https://github.com/ecomfe/echarts-gl","HyperTwist","Merge Bench","Browser 3D analytics and explainer surface","P3","","","","","","medium","Retain selective 3D analytics surfaces, but keep HyperTwist domain models, scene ownership, and broader product shell outside the upstream package.","integrate","moderate modification","Confirm that ecomfe/echarts-gl remains a closed subordinate optional 3D analytics and explainer sidecar beneath the landed apache/echarts anchor, and record only narrower sidecar-gap reopen criteria, if any.","3D chart exports, GL layer mounting, graph and flow surfaces, view helper behavior, interaction model","Inspect the retained optional 3D analytics and explainer sidecar slice only in relation to the landed apache/echarts anchor, existing first-party reference-grounded support surfaces, and any unresolved narrower sidecar gaps.","Inspect 3D and GL chart exports, GL layer mounting, graph and flow surfaces, view helper behavior, and chart-space interaction handling.","Integrate selected subsystems rather than the whole product. Mine the repo for 3D analytics and explainer surfaces, GL layer mounting, and view helper behavior; keep what shortens build time, but bind it to HyperTwist analytics schemas and browser companion UI.","","Integrate here means: merge bounded 3D analytics and explainer surfaces into the browser reporting stack.","","","","","","","","","","","","Upgrade if source reveals unusually reusable browser-runtime seams, clean adapter boundaries, robust tests, and direct leverage for HyperTwist companion surfaces.","Demote if retained value is mostly commodity glue, tightly bound to upstream shell assumptions, or clearly dominated by stronger neighboring repos in the same lane.","Closed subordinate-boundary note + explicit no-default-widening posture + narrower sidecar-gap reopen criteria.","1) Confirmed source-backed browser/XR capabilities; 2) Best retained modules; 3) Boundaries to keep outside HyperTwist core; 4) Recommended pairing or dependency posture; 5) Risks or licensing notes.","Primary: HT_browser_surface cluster packet plus the repo-specific Markdown dossier. Optional: companion browser/XR rows in the same cluster.","ecomfe/echarts-gl is placed in Merge Bench for HyperTwist because it adds bounded 3D analytics and explainer value on top of echarts. Recommended action remains integrate, but the retained value is selective 3D reporting and graph surface behavior rather than a product runtime.","Useful merge candidate for HyperTwist, primarily in the browser companion layer; strongest value sits in 3D chart and GL explainer surfaces beneath the echarts lane.","Audit ecomfe/echarts-gl only as a closed subordinate optional 3D analytics and explainer sidecar row for HyperTwist. Validate that it remains bounded beneath the landed apache/echarts anchor and identify narrower sidecar-gap reopen criteria only; do not frame it as a fresh implementation candidate or standalone owner lane.","HT_browser_surface_0003","HT_browser_surface","ecomfe/echarts-gl","","","","","","","","BSD-3-Clause","known_from_reference_material","uploaded_reference_docs","","","","","","","","","","","v6_unified_source_of_truth_pack","","","","permissive_or_noncopyleft_known","direct_incorporation_ok","The code license is BSD-3-Clause and direct use is allowed. Treat it as a bounded 3D analytics extension rather than a runtime foundation.","Use directly as a bounded browser-side dependency beneath the reporting stack; keep HyperTwist scene ownership and product logic outside the upstream shell.","Typically preserve notices, attribution, and license text where required.","Usually unnecessary unless you later replace a narrow upstream layer for product-shaping reasons.","high","standard-notice-review","yes","","","","","","","","","","","","","v6.3_markdown_backfill","Backfilled from canonized Markdown dossier pass on 2026-04-24.","selected_not_live_permissive_candidate","phase2rb_analytics_subordinate_gap_eval_only","Phase 2R-B plus the 2026-05-27 analytics and browser-viewer subordinate-stack clarification are closed. Retain only as the optional subordinate 3D analytics and explainer sidecar beneath the landed apache/echarts lane; no default widening packet is open."