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docs: pin matched-input results links

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jinli.yl 2026-10-16 12:48:19 +08:00
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docs/en/context_compaction.md
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@ -119,7 +119,7 @@ latency and total cost alongside token reduction. ReMe does not automatically su
## Compaction strategy comparison
The [benchmark protocol and results](https://github.com/jinliyl/ReMe/blob/feat/decision-model-compaction/benchmark/compaction/RESULTS.md) use one four-row table: Full context, Jev, Summary and Jev + Summary.
The [benchmark protocol and results](https://github.com/jinliyl/ReMe/blob/de6f80bd1a4b3e83a5e694ccbdf944413936561d/benchmark/compaction/RESULTS.md) use one four-row table: Full context, Jev, Summary and Jev + Summary.
All compressed methods share a **3,300-token complete input ceiling**, including the original system prompt, task,
compressed evidence, evaluation question and message framing. Full context preserves the original history as an
explicitly over-budget reference.

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docs/zh/context_compaction.md
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@ -110,7 +110,7 @@ ReMe 不会自动生成摘要或写入长期记忆。
## 压缩策略对比
[Benchmark 方案与结果](https://github.com/jinliyl/ReMe/blob/feat/decision-model-compaction/benchmark/compaction/RESULTS.md)统一比较 Full context、Jev、Summary 和 Jev + Summary，结果用一张四行表呈现。
[Benchmark 方案与结果](https://github.com/jinliyl/ReMe/blob/de6f80bd1a4b3e83a5e694ccbdf944413936561d/benchmark/compaction/RESULTS.md)统一比较 Full context、Jev、Summary 和 Jev + Summary，结果用一张四行表呈现。
三个压缩组使用相同的 **3300-token 完整输入上限**，包含原始 system、任务、压缩内容、评测提示和消息封装；
Full context 保留原始历史，作为允许超限的参考组。