Iter-4360dd15-0159-transcript

修改：20260424231405000

第 159 轮执行轨迹

  → call search_memory({"limit":10,"query":"4360dd15 PMC4083033 整句替换 判定模板 工具 opcode 标签 摘要"})
  → call list_tools({})【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

→ call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS 剩余 10 条候选 PMID 研究类型保留排除理由 extension follow-up secondary analysis\"}) → call list_recent({\"n\":10}) → call list_tools({}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0059-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424195947000\", \"preview\": \"!! 第 59 轮执行轨迹

   →"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

→ call search_memory({\"limit\":10,\"query\":\"4360dd15 38310895 NEXT_FOCUS 原始人类试验 PMID 主要终点\"}) → call list_recent({\"n\":10}) → call list_by_tag({\"limit\":10,\"tag\":\"4360dd15\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0060-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424200117000\", \"preview\": \"!! 第 60 轮执行轨迹

   → call search_m"}, {"title": "Iter-4360dd15-0090-transcript", "tags": "iteration transcript", "modified": "20260424210019000", "preview": "!! 第 90 轮执行轨迹

→ call search_memory({\"limit\":8,\"query\":\"4360dd15 38310895 原始人类试验 PMID 主要终点\"}) → call list_recent({\"n\":8}) → call list_by_tag({\"limit\":8,\"tag\":\"4360dd15\"}) 【tool:search_memory】 {\"ok\": true, \"results\":

【tool:list_tools】
{"ok": true, "tools": [{"name": "search_memory", "description": "在 TiddlyWiki 长期记忆中按关键字搜索（支持中文空格分隔），返回标题、标签、预览。每轮迭代开始前应先调用以回忆。", "custom": false}, {"name": "read_note", "description": "读取某一条 tiddler 的完整正文。", "custom": false}, {"name": "write_note", "description": "向 TiddlyWiki 写入（或覆盖）一条 tiddler。这是 Sisyphus 的长期记忆入口——每轮至少写一条。建议标签：knowledge, experiment, reflection, plan, idea, fact, question, lesson。TiddlyWiki 标记：!! 小标题，''粗体''，斜体，其它tiddler。", "custom": false}, {"name": "list_recent", "description": "列出最近修改过的 tiddler。", "custom": false}, {"name": "list_by_tag", "description": "按标签列出相关 tiddler。", "custom": false}, {"name": "run_python", "description": "在 workspace/ 下以子进程执行一段 Python 代码，返回 stdout/stderr。用于计算、模拟、验证假设、抓取公开数据（禁止任何破坏性操作）。", "custom": false}, {"name": "read_file", "description": "读取 workspace/ 下的某个文件。", "custom": false}, {"name": "write_file", "description": "向 workspace/ 下写入文件（默认覆盖，append=true 时追加）。", "custom": false}, {"name": "list_files", "description": "列出 workspace/ 下的文件。", "custom": false}, {"name": "web_fetch", "description": "抓取任意公开 URL（GET），返回剥离 HTML 后的纯文本。适合读论文摘要、文档、博客、百科。", "custom": false}, {"name": "web_search", "description": "用 DuckDuckGo 搜索互联网，返回 title/url/snippet 列表。找入口、找链接、调研时用。", "custom": false}, {"name": "wiki_search", "description": "维基百科搜索：返回若干条目的摘要和 URL。lang 默认 en，可传 zh 等。", "custom": false}, {"name": "arxiv_search", "description": "arXiv 论文检索：标题/作者/摘要/链接。理论、数学、物理、CS、bio 类前沿论文的主入口。", "custom": false}, {"name": "pubmed_search", "descriptio

→ call search_memory({"limit":10,"query":"4360dd15 PMC4083033 sentence rewrite template opcode 分类标签摘要"})

→ call search_memory({"limit":10,"query":"4360dd15 define_tool PMC4083033 判定模板"})

→ call search_memory({"limit":10,"query":"4360dd15 0158 method pmc4083033 sentence rewrite template"})

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS 剩余 10 条候选 PMID 研究类型 保留 排除 理由 extension follow-up secondary analysis\"})    → call list_recent({\"n\":10})    → call list_tools({})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0059-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424195947000\", \"preview\": \"!! 第 59 轮执行轨迹

→"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 38310895 NEXT_FOCUS 原始人类试验 PMID 主要终点\"})    → call list_recent({\"n\":10})    → call list_by_tag({\"limit\":10,\"tag\":\"4360dd15\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0060-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424200117000\", \"preview\": \"!! 第 60 轮执行轨迹

→ call search_m"}, {"title": "Iter-4360dd15-0151-transcript", "tags": "iteration transcript", "modified": "20260424230157000", "preview": "!! 第 151 轮执行轨迹

→ call search_memory({\"limit\":8,\"query\":\"4360dd15 insertion erratum PMC corrected sentence added text should read\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0145-transcript\", \"ta

【tool:search_memory】 {"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   →"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

   → call search_m"}, {"title": "Iter-4360dd15-0090-transcript", "tags": "iteration transcript", "modified": "20260424210019000", "preview": "!! 第 90 轮执行轨迹

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS 剩余 10 条候选 PMID 研究类型 保留 排除 理由 extension follow-up secondary analysis\"})    → call list_recent({\"n\":10})    → call list_tools({})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0059-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424195947000\", \"preview\": \"!! 第 59 轮执行轨迹

→"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 38310895 NEXT_FOCUS 原始人类试验 PMID 主要终点\"})    → call list_recent({\"n\":10})    → call list_by_tag({\"limit\":10,\"tag\":\"4360dd15\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0060-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424200117000\", \"preview\": \"!! 第 60 轮执行轨迹

→ call search_m"}, {"title": "Iter-4360dd15-0153-transcript", "tags": "iteration transcript", "modified": "20260424230535000", "preview": "!! 第 153 轮执行轨迹

→ call search_memory({\"limit\":8,\"query\":\"4360dd15 PMC4083033 erratum corrected sentence 原句更正句差分\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0151-transcript\", \"tags\": \"iteratio → call search_memory({"limit":10,"query":"4360dd15 method pmc4083033 sentence rewrite template opcode 分类标签摘要可调用工具"})

【tool:search_memory】 {"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   →"}, {"title": "Iter-4360dd15-0151-transcript", "tags": "iteration transcript", "modified": "20260424230157000", "preview": "!! 第 151 轮执行轨迹

→ call search_memory({\"limit\":8,\"query\":\"4360dd15 insertion erratum PMC corrected sentence added text should read\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0145-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424224855000\", \"preview\": \"!! 第 145 轮执行轨迹

   → call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360dd15 NEXT_FOCUS errat"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

→ call search_memory({"limit":8,"query":"4360dd15 PMC4083033 整句替换判定模板 method fact"})

→ call search_memory({"limit":8,"query":"4360dd15 PMC4083033 fullTextXML 原句更正句差分"})

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS 剩余 10 条候选 PMID 研究类型 保留 排除 理由 extension follow-up secondary analysis\"})    → call list_recent({\"n\":10})    → call list_tools({})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0059-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424195947000\", \"preview\": \"!! 第 59 轮执行轨迹

→"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 38310895 NEXT_FOCUS 原始人类试验 PMID 主要终点\"})    → call list_recent({\"n\":10})    → call list_by_tag({\"limit\":10,\"tag\":\"4360dd15\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0060-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424200117000\", \"preview\": \"!! 第 60 轮执行轨迹

→ call search_m"}, {"title": "Iter-4360dd15-0090-transcript", "tags": "iteration transcript", "modified": "20260424210019000", "preview": "!! 第 90 轮执行轨迹

   → call search_memory({\"limit\":8,\"query\":\"4360dd15 38310895 原始人类试验 PMID 主要终点\"})    → call list_recent({\"n\":8})    → call list_by_tag({\"limit\":8,\"tag\":\"4360dd15\"})  【tool:search_memory】 {\"ok\": true, \"results\": 【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   →"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

   → call search_m"}, {"title": "Iter-4360dd15-0090-transcript", "tags": "iteration transcript", "modified": "20260424210019000", "preview": "!! 第 90 轮执行轨迹

→ call search_memory({"limit":5,"query":"Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template"})

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0158-transcript", "tags": "iteration transcript", "modified": "20260424231138000", "preview": "!! 第 158 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 PMC4083033 词级 最小编辑 脚本 整句 替换 模板\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0060-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424200117000\", \"preview\": \"!! 第 60 轮执行轨迹

→ call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360dd15 NEXT_FOCUS 剩余 10 条候选 PMID 研究类型保留排除理由 extension"}, {"title": "Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template", "tags": "method fact erratum verification 4360dd15", "modified": "20260424231132000", "preview": "!! PMC4083033 勘误：整句替换判定模板（最小可验证版）本轮把已验证的词级 diff 结果抽象成一个可复用的判定模板，用于快速区分“局部插入/小修”与“整句替换/重写”。 !! 输入 - old: 原句 - new: 更正句 - 预处理：按 \\^\\+\\]|\\w+|[^\\w\\s] 进行 token 化 !! 判定规则（经验阈值） 1. 用 difflib.SequenceMatcher(a=old_t, b=new_t).get_opcodes() 得到编辑块 2. 统计： - changed_blocks = 非 equal opcode 的数量 - common_tokens = equal token 数 - changed_tokens = 所有非 equal 块的 token 质量近似值 3. 若满足以下条件，则判定为"}]}

→ call read_note({"title":"Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template"})

【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template", "tags": "method fact erratum verification 4360dd15", "text": "!! PMC4083033 勘误：整句替换判定模板（最小可验证版）\n\n本轮把已验证的词级 diff 结果抽象成一个可复用的判定模板，用于快速区分“局部插入/小修”与“整句替换/重写”。\n\n!! 输入\n- old: 原句\n- new: 更正句\n- 预处理：按 \\^\\+\\]|\\w+|[^\\w\\s] 进行 token 化\n\n!! 判定规则（经验阈值）\n1. 用 difflib.SequenceMatcher(a=old_t, b=new_t).get_opcodes() 得到编辑块\n2. 统计：\n - changed_blocks = 非 equal opcode 的数量\n - common_tokens = equal token 数\n - changed_tokens = 所有非 equal 块的 token 质量近似值\n3. 若满足以下条件，则判定为 整句替换/重写：\n - changed_blocks >= 2\n - changed_tokens >= 4\n - common_tokens >= 6\n4. 否则暂记为 局部修改\n\n!! 已验证样例\n- PMC4083033：\n - 原句：\"In detail, female skin was thicker than those of males, which is consistent to many other previous studies [3,15,20]\"\n - 更正句：\"In detail, men have thicker skin than do women, which is consistent to many other previous studies [3,15,20].\"\n - 结果：rewrite\n - changed_blocks=4, common_tokens=15, changed_tokens=9\n\n!! 对照反例\n- \"A was observed in the sample.\" → \"A significant effect was observed in the sample.\"\n- 结果：local\n- 说明该模板不会把单点插入误判成整句重写\n\n!! 可复现代码\n

\nimport difflib, re\n\ndef tok(s):\n    return re.findall(r\"\\[[^\\]]+\\]|\\w+|[^\\w\\s]\", s)\n\nold_t = tok(old)\nnew_t = tok(new)\nop = difflib.SequenceMatcher(a=old_t, b=new_t).get_opcodes()\n

\n\n!! 备注\n下一步最有价值的是把这个模板升级成一个可调用工具：输入 old/new，输出 opcode、分类标签、和适合写入记忆的摘要句。"}

→ call run_python({"code":"import difflib, re\n\ndef tok(s):\n return re.findall(r\"\\^\\+\\]|\\w+|[^\\w\\s]\", s)\n\ndef metrics(old, new):\n old_t, new_t = tok(old), tok(new)\n op = difflib.SequenceMatcher(a=old_t, b=new_t).get_opcodes()\n changed_blocks = sum(1 for x in op if x[0] != 'equal')\n common_tokens = sum((x[2]-x[1]) for x in op if x[0]=='equal')\n changed_tokens = sum(max(x[2]-x[1)

【tool:run_python】
{"ok": true, "stdout": "\nCASE local-insert\npred local cb 1 ct 2 cc 7\nop [('equal', 0, 1, 0, 1), ('insert', 1, 1, 1, 3), ('equal', 1, 7, 3, 9)]\nold_t ['A', 'was', 'observed', 'in', 'the', 'sample', '.']\nnew_t ['A', 'significant', 'effect', 'was', 'observed', 'in', 'the', 'sample', '.']\n\nCASE local-adverb\npred local cb 1 ct 1 cc 8\nop [('equal', 0, 3, 0, 3), ('insert', 3, 3, 3, 4), ('equal', 3, 8, 4, 9)]\nold_t ['The', 'result', 'was', 'significant', 'in', 'the', 'sample', '.']\nnew_t ['The', 'result', 'was', 'highly', 'significant', 'in', 'the', 'sample', '.']\n\nCASE rewrite\npred local cb 3 ct 7 cc 5\nop [('replace', 0, 1, 0, 3), ('equal', 1, 2, 3, 4), ('delete', 2, 4, 4, 4), ('equal', 4, 5, 4, 5), ('replace', 5, 7, 5, 6), ('equal', 7, 10, 6, 9)]\nold_t ['Female', 'skin', 'was', 'thicker', 'than', 'male', 'skin', 'in', 'detail', '.']\nnew_t ['Men', 'have', 'thicker', 'skin', 'than', 'women', 'in', 'detail', '.']\n\nCASE local-substitution\npred local cb 1 ct 1 cc 10\nop [('equal', 0, 9, 0, 9), ('replace', 9, 10, 9, 10), ('equal', 10, 11, 10, 11)]\nold_t ['The', 'mice', 'were', 'treated', 'with', 'drug', 'A', 'and', 'drug', 'B', '.']\nnew_t ['The', 'mice', 'were', 'treated', 'with', 'drug', 'A', 'and', 'drug', 'C', '.']\n\nCASE semantic-flip\npred local cb 1 ct 1 cc 7\nop [('equal', 0, 2, 0, 2), ('replace', 2, 3, 2, 3), ('equal', 3, 8, 3, 8)]\nold_t ['The', 'outcome', 'improved', 'in', 'the', 'treated', 'group', '.']\nnew_t ['The', 'outcome', 'worsened', 'in', 'the',

→ call define_tool({"name":"classify_sentence_rewrite_diff","description":"对两句话做 token 级 diff，输出 opcodes、局部/重写标签、可直接写入记忆的摘要，并额外标注疑似语义翻转风险（如否定、极性词变化）。","code":"import difflib\nimport re\nfrom typing import Any, Dict, List\n\nTOKEN_RE = re.compile(r\"\\^\\+\\]|\\w+|[^\\w\\s]\")\n\nNEGATIONS = {\n 'no','not','never','none','neither','nor','without','lack','lacks','lacked','missing','absent','deny','denies','deni)

【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}

→ call define_tool({"parameters":{"name":"classify_sentence_rewrite_diff","description":"对两句话做 token 级 diff，输出 opcodes、局部/重写标签、可直接写入记忆的摘要，并额外标注疑似语义翻转风险（如否定、极性词变化）。","code":"import difflib\nimport re\nfrom typing import List\n\nTOKEN_RE = re.compile(r\"\\^\\+\\]|\\w+|[^\\w\\s]\")\n\nNEGATIONS = {\n 'no','not','never','none','neither','nor','without','lack','lacks','lacked','missing','absent','deny','denies','d)

【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 3 required positional arguments: 'name', 'description', and 'code'"}

→ call write_note({"tags":["lesson","method","fact","4360dd15","erratum verification"],"text":"!! Critique: current sentence-rewrite threshold is too brittle\n\n本轮用已验证样例对 Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template 做了反例压力测试，发现一个关键缺陷：\n- 仅用 changed_blocks >= 2 && changed_tokens >= 4 && common_tokens >= 6 作为 rewrite 判据，会把一些明显的整句重写误判为 local。\n\n!! 证据\n使用 token 级 diff 的测试：\n- 输入1（局部插入）: `)

【tool:write_note】
{"ok": true, "path": "C:\\Users\\yh599\\Documents\\GitHub\\LLM-yh\\Sisyphus\\wiki\\tiddlers\\Iter-4360dd15-0159-lesson-rewrite-threshold-failure.tid", "title": "Iter-4360dd15-0159-lesson-rewrite-threshold-failure"}

→ call define_tool({"name":"classify_sentence_rewrite_diff","description":"对两句话做 token 级 diff，输出 opcodes、局部/重写标签、可直接写入记忆的摘要，并额外标注疑似语义翻转风险（如否定、极性词变化）。","code":"import difflib\nimport re\nfrom typing import List\n\nTOKEN_RE = re.compile(r\"\\^\\+\\]|\\w+|[^\\w\\s]\")\n\nNEGATIONS = {\n 'no','not','never','none','neither','nor','without','lack','lacks','lacked','missing','absent','deny','denies','denied','didn\\)

【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}

→ call search_memory({"limit":10,"query":"4360dd15 define_tool 参数错误 missing required positional argument parameters"})

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS 剩余 10 条候选 PMID 研究类型 保留 排除 理由 extension follow-up secondary analysis\"})    → call list_recent({\"n\":10})    → call list_tools({})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0059-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424195947000\", \"preview\": \"!! 第 59 轮执行轨迹

→"}, {"title": "Iter-4360dd15-0094-transcript", "tags": "iteration transcript", "modified": "20260424210844000", "preview": "!! 第 94 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 38310895 NEXT_FOCUS 原始人类试验 PMID 主要终点\"})    → call list_recent({\"n\":10})    → call list_by_tag({\"limit\":10,\"tag\":\"4360dd15\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0060-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424200117000\", \"preview\": \"!! 第 60 轮执行轨迹

→ call search_m"}, {"title": "Iter-4360dd15-0077-transcript", "tags": "iteration transcript", "modified": "20260424203143000", "preview": "!! 第 77 轮执行轨迹

→ call search_memory({\"limit\":8,\"query\":\"4360dd15 NEXT_FOCUS PMID 候选摘要年龄判据主要终点\"}) → call list_recent({\"n\":6}) → call list_by_tag({\"limit\":10,\"tag\":\"4360dd15\"}) 【tool:search_memory】 {\"ok\": true, \"resu → call define_tool({"name":"classify_sentence_rewrite_diff","description":"对两句话做 token 级 diff，输出 opcodes、局部/重写标签、可直接写入记忆的摘要，并额外标注疑似语义翻转风险（如否定、极性词变化）。","code":"import difflib\nimport re\nfrom typing import List\n\nTOKEN_RE = re.compile(r\"\\[[^\\]]+\\]|\\w+|[^\\w\\s]\")\nNEGATIONS = {'no','not','never','none','neither','nor','without','lack','lacks','lacked','missing','absent','deny','denies','denied','didn\\'t','doe) 【tool:define_tool】 {"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"} 【assistant】本轮结论：我对 `Iter-4360dd15-0158-method-pmc4083033-sentence-rewrite-template` 做了反例压力测试，确认它**不是可靠的整句重写判定器**，而更像一个“保守型局部修改探测器”。关键发现： - 已验证的 PMC4083033 样例能被判为 `rewrite`； - 但一个明显的整句改写样例 `Female skin was thicker than male skin in detail.` → `Men have thicker skin than women in detail.` 仍被判成 `local`； - 说明当前阈值 `changed_blocks >= 2 && changed_tokens >= 4 && common_tokens >= 6` **漏检严重**； - 这套规则对“少量词替换但语义已整体改写”的情况不够敏感； - 另外我尝试封装工具时遇到参数格式问题，说明**工具化还没完成**，当前结论不应被当成稳定生产规则。我已把这次失败写入长期记忆，作为后续修正依据。

<NEXT_FOCUS>给重写判定加入“否定/极性翻转”第二层规则，先用少量正反例证明它能抓住小编辑但大语义变化的句子，再决定是否重新封装工具。</NEXT_FOCUS>