Iter-4360dd15-0166-transcript
第 166 轮执行轨迹
→ call search_memory({"limit":10,"query":"4360dd15 insertion rearrangement content words subsequence counterexample"}) → call list_recent({"n":8})
→ call list_by_tag({"limit":20,"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_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-4360dd15-0162-transcript", "tags": "iteration transcript", "modified": "20260424231857000", "preview": "!! 第 162 轮执行轨迹 → call search_memory({\"limit\":10,\"query\":\"4360dd15 PMC4083033 rewrite local insertion 二层 规则 local insertion 反例\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0159-transcript\", \"tags\【tool:list_recent】
{"ok": true, "items": [{"title": "Iter-4360dd15-0165-reflection", "modified": "20260424232439000", "tags": "iteration reflection"}, {"title": "NEXT_FOCUS", "modified": "20260424232439000", "tags": "pinned focus"}, {"title": "先保骨架再谈编辑量", "modified": "20260424232439000", "tags": "lesson erratum verification rewrite local insertion"}, {"title": "Iter-4360dd15-0165-transcript", "modified": "20260424232436000", "tags": "iteration transcript"}, {"title": "Iter-4360dd15-0165-method-content-subsequence-local-insertion", "modified": "20260424232430000", "tags": "method fact 4360dd15 erratum verification"}, {"title": "Iter-4360dd15-0164-reflection", "modified": "20260424232347000", "tags": "iteration reflection"}, {"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"}]}
【tool:list_by_tag】
{"ok": true, "items": [{"title": "Iter-4360dd15-0165-method-content-subsequence-local-insertion", "modified": "20260424232430000"}, {"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"}, {"title": "PMC4083033 erratum minimal diff", "modified": "20260424225923000"}, {"title": "Iter-4360dd15-0149-lesson-pmc4083033-not-insertion", "modified": "20260424225824000"}, {"title": "Iter-4360dd15-0145-fact-replacement-erratum-pressure-test", "modified": "20260424224847000"}, {"title": "Iter-4360dd15-0144-fact-BOLERO-2-erratum-word-alignment-context", "modified": "202604242246230
→ call read_note({"title":"Iter-4360dd15-0165-method-content-subsequence-local-insertion"})
【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0165-method-content-subsequence-local-insertion", "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 - content words: observed sample vs significant effect observed sample\n - 短句是长句的有序子序列 ⇒ local insertion\n- The result was significant in the sample. → The result was highly significant in the sample.\n - content words: result significant sample vs result highly significant sample\n - 短句是长句的有序子序列 ⇒ local insertion\n- We observed the effect. → We observed a strong effect.\n - content words: we observed effect vs we observed strong effect\n - 短句是长句的有序子序列 ⇒ local insertion\n- PMC4083033\n - female skin thicker males consistent many other previous studies vs\n men have thicker skin women consistent many other previous studies\n - 不是有序子序列:存在词替换和骨架改写 ⇒ rewrite\n\n!! 可复现代码\n
\nimport re\n\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 from that this these those which'.split())\n\ndef content_words(s):\n return [t for t in re.findall(r'[a-z]+', s.lower()) if t not in STOP]\n\ndef is_subsequence(short, → call run_python({"code":"from itertools import permutations\n\ndef is_subsequence(short, long):\n it = iter(long)\n try:\n for x in short:\n while next(it) != x:\n pass\n return True\n except StopIteration:\n return False\n\n# Search minimal abstract counterexample: short -> long where long has one inserted token\n# plus one adjacent transposition relative t)
【tool:run_python】
{"ok": true, "stdout": "n= 1 counterexamples= 0\nn= 2 counterexamples= 2\n first few: [('b', 'a', 'x'), ('x', 'b', 'a')]\nexample short= ['a', 'b', 'c'] long= ['a', 'x', 'c', 'b']\nsubsequence? False\nlevenshtein= 2\n", "stderr": "", "returncode": 0}
→ call write_note({"tags":["fact","4360dd15","erratum verification"],"text":"!! 最小“插入 + 轻微重排”反例(抽象 token 级)\n\n本轮用 Python 穷举了一个最小模型:给短序列先做一次插入(插入 token `x`),再允许一次相邻交换。结果显示:\n\n- 当短序列长度 `n=1` 时,没有反例;\n- 当 `n=2` 时,立刻出现反例;\n- 因而 //content words 有序子序列// 规则对“插入 + 轻微重排”并不稳健,最小失效长度就是 2 个内容词。\n\n!! 具体反例\n短句:`a b`\n\n长句(由插入 + 轻微重排得到):\n- `b a x`\n- `x b a`\n\n这两种都不是 `a b` 的有序子序列,因此规则会把它们误判为 `rewrite`,即使它们在编辑路径上只是“插入外加一次轻微重排)
【tool:write_note】
{"ok": true, "path": "C:\\Users\\yh599\\Documents\\GitHub\\LLM-yh\\Sisyphus\\wiki\\tiddlers\\Iter-4360dd15-0166-fact-minimal-insertion-reorder-counterexample.tid", "title": "Iter-4360dd15-0166-fact-minimal-insertion-reorder-counterexample"}
【assistant】
本轮完成了你指定的最小反例搜索:我用 token 级穷举验证了“content words 有序子序列”规则在允许“插入 + 轻微重排”时会失效,而且最小失效长度就是 2 个内容词。
结论要点:
- `n=1` 时没有反例;
- `n=2` 时立刻出现反例;
- 典型反例可抽象成:
- 短句:`a b`
- 长句:`b a x` 或 `x b a`
- 因此这条规则对“纯插入”可用,但对“插入伴随一次局部交换”会系统性误判为 `rewrite`。
我已经把这条结果写入长期记忆:
- `Iter-4360dd15-0166-fact-minimal-insertion-reorder-counterexample`
下一轮最值得做的最窄问题是:**把“允许一次相邻交换”的判定条件形式化,看看能否在不放宽到 rewrite 的前提下修补当前规则。**
<NEXT_FOCUS>形式化“插入 + 一次相邻交换”后,找一个最小可计算的修补判据,避免把局部重排误判成 rewrite。</NEXT_FOCUS>