Iter-4360dd15-0165-transcript
第 165 轮执行轨迹
→ call search_memory({"limit":8,"query":"4360dd15 PMC4083033 local insertion rewrite 二层 规则"}) → call list_recent({"n":8})
→ call list_by_tag({"limit":10,"tag":"4360dd15"})
【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0162-transcript", "tags": "iteration transcript", "modified": "20260424231857000", "preview": "!! 第 162 轮执行轨迹
→ call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360dd15 PMC4083033 整句替换 判定模"}, {"title": "Iter-4360dd15-0164-transcript", "tags": "iteration transcript", "modified": "20260424232341000", "preview": "!! 第 164 轮执行轨迹 → call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360dd15 PMC4083033 rewrite local inse"}, {"title": "Iter-4360dd15-0159-transcript", "tags": "iteration transcript", "modified": "20260424231405000", "preview": "!! 第 159 轮执行轨迹 【tool:list_recent】
{"ok": true, "items": [{"title": "Iter-4360dd15-0164-reflection", "modified": "20260424232347000", "tags": "iteration reflection"}, {"title": "NEXT_FOCUS", "modified": "20260424232347000", "tags": "pinned focus"}, {"title": "先判定纠错类型再谈规则", "modified": "20260424232347000", "tags": "lesson erratum classification rule"}, {"title": "Iter-4360dd15-0164-transcript", "modified": "20260424232341000", "tags": "iteration transcript"}, {"title": "Iter-4360dd15-0164-lesson-v2-rule-false-positives", "modified": "20260424232336000", "tags": "lesson critique 4360dd15 erratum verification"}, {"title": "Iter-4360dd15-0163-reflection", "modified": "20260424232219000", "tags": "iteration reflection"}, {"title": "二层规则先看强度再看重叠", "modified": "20260424232219000", "tags": "lesson classification rewrite counterexample"}, {"title": "Iter-4360dd15-0163-transcript", "modified": "20260424232215000", "tags": "iteration transcript"}]}
【tool:list_by_tag】
{"ok": true, "items": [{"title": "Iter-4360dd15-0164-lesson-v2-rule-false-positives", "modified": "20260424232336000"}, {"title": "Iter-4360dd15-0160-method-pmc4083033-rewrite-v2", "modified": "20260424231537000"}, {"title": "Iter-4360dd15-0159-lesson-rewrite-threshold-failure", "modified": "20260424231322000"}, {"title": "Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template", "modified": "20260424231132000"}, {"title": "Iter-4360dd15-0157-fact-pmc4083033-word-diff", "modified": "20260424231031000"}, {"title": "Iter-4360dd15-0156-fact-pmc4083033-xml-offsets", "modified": "20260424230924000"}, {"title": "Iter-4360dd15-0155-fact-pmc4083033-xml-coordinates", "modified": "20260424230807000"}, {"title": "Iter-4360dd15-0154-fact-pmc4083033-tokenization-robustness", "modified": "20260424230648000"}, {"title": "Iter-4360dd15-0153-fact-pmc4083033-direct-xml-diff", "modified": "20260424230526000"}, {"title": "Iter-4360dd15-0152-fact-pmc4083033-diff-type", "modified": "20260424230323000"}]}
→ call read_note({"title":"NEXT_FOCUS"})
→ call read_note({"title":"Iter-4360dd15-0164-lesson-v2-rule-false-positives"})
→ call read_note({"title":"Iter-4360dd15-0160-method-pmc4083033-rewrite-v2"})
【tool:read_note】
{"ok": true, "title": "NEXT_FOCUS", "tags": "pinned focus", "text": "!! 下轮焦点（来自 mission 4360dd15 · Iter-0164）\n\n写出一条最窄的二层判定规则，并用 PMC4083033 加 2-3 个局部插入反例逐项验证是否能稳定分开。"}
【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0164-lesson-v2-rule-false-positives", "tags": "lesson critique 4360dd15 erratum verification", "text": "!! 批判性回合：v2 二层规则的主要失败点\n\n本轮把 PMC4083033 与 3 个局部插入样例 + 1 个边界样例放进同一条规则里做了压力测试，结果暴露出一个明显缺陷：\n\n- local_insert_1: \"A was observed in the sample.\" → \"A significant effect was observed in the sample.\"\n - 被 v2 误判为 rewrite\n- local_insert_3: \"We observed the effect.\" → \"We observed a strong effect.\"\n - 也被 v2 误判为 rewrite\n- local_insert_2: \"The result was significant in the sample.\" → \"The result was highly significant in the sample.\"\n - 判为 local\n- PMC4083033\n - 判为 rewrite\n\n!! 为什么会失败\nv2 依赖的 ratio + content_jaccard 对“短句里的内容词插入”过于敏感：\n- 只插入一个内容词（如 effect / strong）就能把 set-based content_jaccard 拉低；\n- 短句里新增一个名词短语，会把 SequenceMatcher ratio 压得比预期更低；\n- 结果是：**插入型样本被系统性抬成 rewrite**，假阳性太高。\n\n!! 结论\n当前二层规则仍然**不能稳定分开 rewrite 与 local insertion**，问题不在 PMC4083033，而在第二层判据太“宽”，把“局部补充内容”当成了“语义重写”。\n\n!! 避免再踩\n后续不应继续调 content_jaccard < 0.7 这种粗阈值；更稳的方向是把判据改成：\n- 先识别是否改变了主谓/谓词骨架或极性；\n- 再把纯修饰语插入、单个内容名词插入排除为 local；\n- 用短句/长句分开阈值，而不是一条阈值通吃。\n\n!! 可复现实验摘要\nPython 复核输出显示：\n- local_insert_1: ratio=0.875, changed_blocks=1, content_jaccard=0.5 → 误报\n- local_insert_3: ratio=0.727, changed_blocks=1, content_jaccard=0.75 → 误报\n- PMC4083033: ratio=0.714, changed_blocks=4, content_jaccard=0.615 → 正确\n\n!! 下一步最小可验证问题\n能否定义一个**只看骨架变化**的判据，把“新增修饰/补词”与“主谓重写”分开？"}
【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0160-method-pmc4083033-rewrite-v2", "tags": "method fact 4360dd15 [[erratum verification]]", "text": "!! PMC4083033 勘误：改进后的重写判定信号（v2 草案）\n\n本轮把已验证样例与两个局部插入反例做了对比，得到一个更稳的二层信号：\n- 第一层：token 级编辑强度（SequenceMatcher ratio / changed_blocks / changed_tokens）\n- 第二层：内容词重叠（去掉停用词后的 Jaccard）\n\n!! 观测\n对四个样例的 Python 复核结果：\n- 局部插入：\n - A was observed in the sample. → A significant effect was observed in the sample.\n - ratio=0.875, content_jaccard=0.50\n- 局部副词插入：\n - The result was significant in the sample. → The result was highly significant in the sample.\n - ratio=0.941, content_jaccard=0.75\n- 明显重写：\n - Female skin was thicker than male skin in detail. → Men have thicker skin than women in detail.\n - ratio=0.526, content_jaccard=0.375\n- PMC4083033：\n - In detail, female skin was thicker than those of males, which is consistent to many other previous studies [3,15,20]\n - → In detail, men have thicker skin than do women, which is consistent to many other previous studies [3,15,20].\n - ratio=0.714, content_jaccard=0.643\n\n!! 结论\n仅靠 changed_blocks/changed_tokens 的阈值会漏掉“语义上是 rewrite、但编辑块不够多”的句子。更稳的最小规则应至少包含：\n- ratio < 0.8 或\n- content_jaccard < 0.7 或\n- changed_blocks >= 2 或\n- changed_tokens >= 4\n\n这组规则对本轮样例的方向是：\n- 两个插入型样例应保持 local\n- 两个重写样例应判为 rewrite\n\n!! 可复现代码\n
\nimport re, difflib\nSTOP = set('a an the in on at of to for and or was is are were be been being than do does did with by as fro → call run_python({"code":"import re\nexamples = {\n 'local_insert_1': ('A was observed in the sample.', 'A significant effect was observed in the sample.'),\n 'local_insert_2': ('The result was significant in the sample.', 'The result was highly significant in the sample.'),\n 'local_insert_3': ('We observed the effect.', 'We observed a strong effect.'),\n 'PMC4083033': ('In detail, female skin was thi)
【tool:run_python】
{"ok": true, "stdout": "local_insert_1\n A: ['observed', 'sample']\n B: ['significant', 'effect', 'observed', 'sample']\n short subseq of long? True\n overlap exact order? False\n\nlocal_insert_2\n A: ['result', 'significant', 'sample']\n B: ['result', 'highly', 'significant', 'sample']\n short subseq of long? True\n overlap exact order? False\n\nlocal_insert_3\n A: ['we', 'observed', 'effect']\n B: ['we', 'observed', 'strong', 'effect']\n short subseq of long? True\n overlap exact order? False\n\nPMC4083033\n A: ['detail', 'female', 'skin', 'thicker', 'males', 'consistent', 'many', 'other', 'previous', 'studies']\n B: ['detail', 'men', 'have', 'thicker', 'skin', 'women', 'consistent', 'many', 'other', 'previous', 'studies']\n short subseq of long? False\n overlap exact order? False\n\n", "stderr": "", "returncode": 0}
→ call write_note({"tags":["method","fact","4360dd15","erratum verification"],"text":"!! 最窄二层判定候选：内容词有序子序列规则\n\n目标：把“局部插入”与“重写/替换”分开，避免继续被短句里的内容词插入误报。\n\n!! 规则草案\n先把句子抽成 //content words//（去停用词、只保留字母 token），然后：\n- 若较短句子的 content words 能作为 //有序子序列// 出现在较长句子中，则优先判为 `local insertion`；\n- 否则判为 `rewrite` 候选。\n\n这条规则对本轮样例的区分是：\n- `A was observed in the sample.` → `A significant effect was observed in the sample.`\n - con)
【tool:write_note】
{"ok": true, "path": "C:\\Users\\yh599\\Documents\\GitHub\\LLM-yh\\Sisyphus\\wiki\\tiddlers\\Iter-4360dd15-0165-method-content-subsequence-local-insertion.tid", "title": "Iter-4360dd15-0165-method-content-subsequence-local-insertion"}
【assistant】
本轮把二层规则进一步收窄成一个更可检验的判据：
- **先抽 content words**
- **再看较短句是否是较长句的有序子序列**
- 若是，优先判 `local insertion`
- 否则判 `rewrite`
我用它复核了这 4 个样例：
- `A was observed in the sample.` → `A significant effect was observed in the sample.`
判 `local insertion`
- `The result was significant in the sample.` → `The result was highly significant in the sample.`
判 `local insertion`
- `We observed the effect.` → `We observed a strong effect.`
判 `local insertion`
- `PMC4083033`
判 `rewrite`
这条规则比前几轮的 `ratio + jaccard` 更窄，也更直接抓“原句骨架是否被保留”。
已写入长期记忆：
`Iter-4360dd15-0165-method-content-subsequence-local-insertion`
<NEXT_FOCUS>找一个“局部插入但伴随轻微重排”的最小反例，测试内容词有序子序列规则是否会误判为 rewrite。</NEXT_FOCUS>