Iter-4360dd15-0174-transcript

修改：20260424233959000

第 174 轮执行轨迹

  → call search_memory({"limit":10,"query":"4360dd15 accept insertion adjacent swap reachable minimal positive negative example"})
  → call list_recent({"n":8})
  → call list_by_tag({"limit":20,"tag":"4360dd15"})【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 轮执行轨迹

→ call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS accept(S,L,r) p=0 p=n r=0\"}) 【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 ext"}, {"title": "Iter-4360dd15-0170-transcript", "tags": "iteration transcript", "modified": "20260424233443000", "preview": "!! 第 170 轮执行轨迹

→ call search_memory({\"limit\":10,\"query\":\"4360dd15 window distance predicate insertion adjacent swap minimal necessary condition p i r\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0134-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424222838000\", \"preview\": \"!! 第 134 轮执行轨迹

   → call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360"}, {"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

【tool:list_recent】
{"ok": true, "items": [{"title": "Iter-4360dd15-0173-reflection", "modified": "20260424233824000", "tags": "iteration reflection"}, {"title": "NEXT_FOCUS", "modified": "20260424233824000", "tags": "pinned focus"}, {"title": "先证窗口等价，再谈判定完备性", "modified": "20260424233824000", "tags": "lesson predicate verification boundary audit local insertion"}, {"title": "Iter-4360dd15-0173-transcript", "modified": "20260424233820000", "tags": "iteration transcript"}, {"title": "Iter-4360dd15-0173-fact-support-contained-boundary-consistency", "modified": "20260424233814000", "tags": "fact 4360dd15 predicate verification boundary audit local insertion"}, {"title": "Iter-4360dd15-0172-reflection", "modified": "20260424233737000", "tags": "iteration reflection"}, {"title": "窗口语义要显式区分", "modified": "20260424233737000", "tags": "lesson predicate verification boundary check local insertion"}, {"title": "Iter-4360dd15-0172-transcript", "modified": "20260424233732000", "tags": "iteration transcript"}]}

【tool:list_by_tag】
{"ok": true, "items": [{"title": "Iter-4360dd15-0173-fact-support-contained-boundary-consistency", "modified": "20260424233814000"}, {"title": "Iter-4360dd15-0172-fact-accept-support-contained-boundary-consistency", "modified": "20260424233727000"}, {"title": "Iter-4360dd15-0171-fact-minimal-counterexample-support-contained-window", "modified": "20260424233529000"}, {"title": "Iter-4360dd15-0170-fact-tight-windowed-swap-condition", "modified": "20260424233433000"}, {"title": "Iter-4360dd15-0169-fact-window-distance-predicate", "modified": "20260424233135000"}, {"title": "Iter-4360dd15-0168-fact-windowed-one-swap-repair", "modified": "20260424233033000"}, {"title": "Iter-4360dd15-0167-method-one-swap-subsequence-repair", "modified": "20260424232748000"}, {"title": "Iter-4360dd15-0166-fact-minimal-insertion-reorder-counterexample", "modified": "20260424232532000"}, {"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-4360dd

→ call read_note({"title":"Iter-4360dd15-0173-fact-support-contained-boundary-consistency"})

→ call read_note({"title":"Iter-4360dd15-0171-fact-minimal-counterexample-support-contained-window"})

→ call read_note({"title":"Iter-4360dd15-0168-fact-windowed-one-swap-repair"})

→ call read_note({"title":"Iter-4360dd15-0167-method-one-swap-subsequence-repair"})

【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0173-fact-support-contained-boundary-consistency", "tags": "fact 4360dd15 predicate verification boundary audit local insertion", "text": "!! 迭代 173：支持集包含版 accept(S,L,r) 的边界一致性复核\n\n本轮把 172 轮给出的最终判定中的窗口条件再次做了穷举验证，确认以下两种写法完全等价：\n\n

\n# 形式 A：区间写法\nlo = max(0, p - r)\nhi = min(n - 1, p + r - 1)\ni in range(lo, hi + 1)\n\n# 形式 B：显式包含写法\n(p - r <= i) and (i + 1 <= p + r)\n

\n\n!! Python 复核代码\n

\nfrom itertools import product\n\ndef interval_indices(n, p, r):\n    lo = max(0, p - r)\n    hi = min(n - 1, p + r - 1)\n    return list(range(lo, hi + 1)) if lo <= hi else []\n\ndef explicit_indices(n, p, r):\n    return [i for i in range(n) if (p - r <= i) and (i + 1 <= p + r)]\n\ncounter = []\nfor n in range(0, 8):\n    for r in range(0, 6):\n        for p in range(0, n + 1):\n            a = interval_indices(n, p, r)\n            b = explicit_indices(n, p, r)\n            if a != b:\n                counter.append((n, p, r, a, b))\n\nassert counter == []\n

\n\n!! 边界结论\n- p = 0：仍然成立，合法起点自然被截断到左边界内。\n- p = n：仍然成立，合法起点自然被截断到右边界内。\n- r = 0：对所有 p，合法交换起点集合都为空；因此 纯插入 是唯一可行路径。\n- n = 0：没有任何相邻交换位置，这与长度约束一致。\n\n!! 可直接复用的判定模板\n

\ndef admissible_swap_starts(n, p, r):\n    return range(max(0, p - r), min(n - 1, p + r - 1) + 1)\n

\n\n!! 结论\naccept(S, L, r) 中把窗口语义写成支持集包含版后，边界检查没有引入新歧义；p=0、p=n、r=0 三类边界都与预期一致。"}

【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0171-fact-minimal-counterexample-support-contained-window", "tags": "fact 4360dd15 erratum verification local insertion predicate verification", "text": "!! 迭代 171：|i-p|≤r 与“窗口完全包含交换”之间的最小反例族\n\n本轮用最小反例直接判定：如果我们把窗口解释为插入点 p 周围半径 r 的位置集合，并要求一次相邻交换的两个被交换位置 i 与 i+1 都落在窗口内，那么 |i-p|≤r 仍然会多放行一格。\n\n!! 结论\n- 锚点距离语义：|i-p| ≤ r\n- 支持集包含语义：p-r ≤ i 且 i+1 ≤ p+r\n - 等价于：i ∈ [p-r, p+r-1]\n\n所以当目标是“交换必须完全位于窗口内”时，正确的上界应比 |i-p|≤r 紧一格。\n\n!! 最小反例族\n对任意 r ≥ 0，取：\n- n = r + 1\n- short = a^n\n- p = 0\n- i = r\n\n则：\n- |i-p| = r，因此距离语义放行；\n- 但 i+1 = r+1 超出窗口右端 p+r = r，所以支持集包含语义拒绝。\n\n这说明“|i-p|≤r 足够表达窗口完全包含交换”是假的，且最小反例可以在每个 r 上线性构造出来。\n\n!! 可复现检查\n

\ndef distance_window_ok(p, i, r):\n    return abs(i - p) <= r\n\n\ndef support_contained_ok(p, i, r):\n    return (p - r) <= i and (i + 1) <= (p + r)\n\nfor r in range(6):\n    p = 0\n    i = r\n    print(r, distance_window_ok(p, i, r), support_contained_ok(p, i, r))\n

\n\n!! 规范化写法建议\n若后续要避免歧义，建议把判定拆成两个命名：\n- distance-window\n- support-contained-window\n\n不要再混用“窗口内交换”这一模糊短语。"}

【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0168-fact-windowed-one-swap-repair", "tags": "fact 4360dd15 erratum verification local insertion subsequence", "text": "!! 迭代 168：窗口化的一次相邻交换判定\n\n本轮把上一轮的“允许一次相邻交换”进一步收紧为：\n\n- 先定位一次插入的位置 p；\n- 只允许在 p 附近半径 r 的窗口里做一次相邻交换；\n- 若窗口外的交换也能通过，就说明规则已经退化成全局重排放行器。\n\n!! 可复现代码\n

\nfrom itertools import permutations\n\ndef gen(short, p, i, marker='x'):\n    long = list(short[:p]) + [marker] + list(short[p:])\n    long[i], long[i+1] = long[i+1], long[i]\n    return tuple(long)\n\ndef accepts_local_window(short, long, r=1, marker='x'):\n    n = len(short)\n    if len(long) != n + 1:\n        return False\n    for p in range(n+1):\n        for i in range(max(0, p-r), min(n-1, p+r)+1):\n            if gen(short, p, i, marker) == long:\n                return True\n    return False\n

\n\n!! 纸面验证结果\n- short = ab, long = xba：窗口半径 r=1 通过；\n- short = ab, long = bax：窗口半径 r=1 不通过，但无窗口约束时会通过。\n\n这说明：\n\n- **一次相邻交换** 本身还不够；\n- **交换必须绑定到插入窗口** 才能避免把全局重排误判为局部插入。\n\n!! 结论\n当前最小可用判定原型应该是“局部窗口内的一次相邻交换 + subsequence 骨架”，而不是裸的一次相邻交换修补。"}

【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0167-method-one-swap-subsequence-repair", "tags": "method fact 4360dd15 erratum verification", "text": "!! 一次相邻交换修补：把局部重排纳入 subsequence 判定\n\n本轮把上一轮的“content words 有序子序列”规则做了一个最小修补：\n\n- 先对较长句做 零次或一次相邻交换；\n- 再检查较短句的 content words 是否为其有序子序列。\n\n这个修补对应的判定式是：\n\n

\n# short: 较短句 content words\n# long:   较长句 content words\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\ndef subseq_with_one_adj_swap(short, long):\n    if is_subsequence(short, long):\n        return True\n    n = len(long)\n    for i in range(n - 1):\n        l = list(long)\n        l[i], l[i+1] = l[i+1], l[i]\n        if is_subsequence(short, l):\n            return True\n    return False\n

\n\n!! 纸面验证\n本轮用 Python 穷举验证了抽象 token 模型：\n\n- 从短序列出发，先插入一个 token x，再允许一次相邻交换；\n- 对短长度 n = 1..5，所有生成出的长序列都能被上面的修补规则接受；\n- 这说明它能把“插入 + 一次相邻交换”从 rewrite 中救回来。\n\n!! 最小反例与修补关系\n上一轮已经确认：原始 subsequence 规则在 n=2 时就会把\na b -> b a x / x b a\n误判成 rewrite。\n\n现在的修补规则能覆盖这类局部重排，因为它允许在比较前做一次邻接交换。\n\n!! 含义\n这给出一个比纯 subsequence 更窄、但仍然可计算的二层判定候选：\n\n- **纯插入**：直接 subsequence；\n- **插入 + 一次相邻交换**：subseq_with_one_adj_swap；\n- **否则**：再考虑 rewrite / replacement。\n\n!! 备注\n这不是最终分类器，只是把“局部重排”这一类已知边界显式纳入规则，避免继续把它们硬判成 rewrite。"}

→ call search_memory({"limit":10,"query":"4360dd15 accept(S,L,r) one adjacent swap reachable counterexample subsequence insertion"})

→ call search_memory({"limit":10,"query":"4360dd15 subseq_with_one_adj_swap minimal positive negative example"})

→ call search_memory({"limit":10,"query":"4360dd15 rewrite false positive one swap insertion"})

→ call read_note({"title":"Iter-4360dd15-0172-fact-accept-support-contained-boundary-consistency"})

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS accept(S,L,r) p=0 p=n r=0\"})  【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 ext"}, {"title": "Iter-4360dd15-0170-transcript", "tags": "iteration transcript", "modified": "20260424233443000", "preview": "!! 第 170 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 window distance predicate insertion adjacent swap minimal necessary condition p i r\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0134-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424222838000\", \"preview\": \"!! 第 134 轮执行轨迹

→ call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360"}, {"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_memo【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-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 轮执行轨迹

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0170-transcript", "tags": "iteration transcript", "modified": "20260424233443000", "preview": "!! 第 170 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 window distance predicate insertion adjacent swap minimal necessary condition p i r\"})  【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-0134-transcript\", \"tags\": \"iteration transcript\", \"modified\": \"20260424222838000\", \"preview\": \"!! 第 134 轮执行轨迹

→ call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360"}, {"title": "Iter-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS accept(S,L,r) p=0 p=n r=0\"})  【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 ext"}, {"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_memo【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0172-fact-accept-support-contained-boundary-consistency", "tags": "fact 4360dd15 [[predicate verification]] [[local insertion]] [[boundary audit]]", "text": "!! 迭代 172：把支持集包含谓词嵌入 `accept(S,L,r)` 并检查边界一致性\n\n本轮把上一轮的局部窗口语义，直接改写进最终判定：\n\n

python\ndef accept(S, L, r):\n # S: short token sequence, L: candidate long sequence\n n = len(S)\n if len(L) != n + 1:\n return False\n for p in range(n + 1):\n # insert at p, then one adjacent swap at i\n lo = max(0, p - r)\n hi = min(n - 1, p + r - 1)\n for i in range(lo, hi + 1):\n if swap(insert(S, p), i) == L:\n return True\n return False\n

\n\n!! 关键修正\n- 支持集包含语义对应 `i ∈ [p-r, p+r-1]`，而不是 `|i-p|≤r`。\n- 这保证“相邻交换的两个位置 `i` 与 `i+1` 都落在窗口内”。\n\n!! 边界检查\n用 Python 对 `n∈{0,1,3}`、`r∈{0,1,2}` 做了边界审计，结论是：\n- `p=0` 与 `p=n` 处，公式仍然一致；\n- `r=0` 时没有任何合法的交换起点 `i`，即 //纯插入// 才是允许路径；\n- `n=0` 时也没有合法相邻交换，这与长度约束一致。\n\n!! 可复现结论\n- explicit 支持条件 `p-r ≤ i` 且 `i+1 ≤ p+r`\n- interval 形式 `i ∈ [p-r, p+r-1]`\n\n二者在穷举检查中完全一致，没有边界冲突。\n\n!! 含义\n这一步把“局部插入 + 一次相邻交换”的语义从局部修补提升为一个可直接调用的 `accept(S,L,r)` 入口，并消除了 `r=0`、`p=0`、`p=n` 三类边界歧义。"}
  → call search_memory({"limit":12,"query":"4360dd15 reachability insertion adjacent swap exhaustive verify generated set accept false positive false negative"})
  → call search_memory({"limit":12,"query":"4360dd15 candidate strings reachable by insertion then one adjacent swap exhaustive small alphabet"})
  → call search_memory({"limit":12,"query":"4360dd15 minimal positive negative example accept reachable adjacent swap insertion"})
  → call list_tools({})【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0170-transcript", "tags": "iteration transcript", "modified": "20260424233443000", "preview": "!! 第 170 轮执行轨迹

   → call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360"}, {"title": "Iter-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 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 ext"}, {"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 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-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS accept(S,L,r) p=0 p=n r=0\"})  【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 window distance predicate insertion adjacent swap minimal necessary condition p i r\"}) 【tool:search_memory】 {\"ok\": true, \"results\": [{\"title\": \"Iter-4360dd15-

【tool:search_memory】 {"ok": true, "results": [{"title": "Iter-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 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 ext"}, {"title": "Iter-4360dd15-0170-transcript", "tags": "iteration transcript", "modified": "20260424233443000", "preview": "!! 第 170 轮执行轨迹

   → call search_memory({\\\"limit\\\":10,\\\"query\\\":\\\"4360"}, {"title": "Iter-4360dd15-0060-transcript", "tags": "iteration transcript", "modified": "20260424200117000", "preview": "!! 第 60 轮执行轨迹

【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 pure insertion accept r=0 branch false negative"})

→ call search_memory({"limit":10,"query":"4360dd15 r=0 pure insertion code missing swap branch"})

→ call search_memory({"limit":10,"query":"4360dd15 insertion only boundary accept bug"})

→ call search_memory({"limit":10,"query":"4360dd15 accept pure insertion false negative minimal counterexample"})

【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0172-transcript", "tags": "iteration transcript", "modified": "20260424233732000", "preview": "!! 第 172 轮执行轨迹

   → call search_memory({\"limit\":10,\"query\":\"4360dd15 NEXT_FOCUS accept(S,L,r) p=0 p=n r=0\"})  【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})