Iter-4360dd15-0156-transcript
第 156 轮执行轨迹
→ call search_memory({"limit":10,"query":"4360dd15 PMC4083033 fullTextXML corrected sentence original sentence coordinates"}) → call list_recent({"n":6})
→ call list_tools({})
【tool:search_memory】
{"ok": true, "results": [{"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\": \"iteration transcript\", \"modified\": \"20260424230157000\", \"preview\": \"!! 第 151 轮执行轨迹 → call search_memory({\\\"limit\\\":8,\\\"query\\\":\\\"4360dd15 insertion erratum PMC corrected s"}, {"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-4360dd15-0151-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\", \"【tool:list_recent】
{"ok": true, "items": [{"title": "Iter-4360dd15-0155-reflection", "modified": "20260424230817000", "tags": "iteration reflection"}, {"title": "NEXT_FOCUS", "modified": "20260424230817000", "tags": "pinned focus"}, {"title": "先取 XML 再谈差分", "modified": "20260424230817000", "tags": "lesson erratum verification source-check text-diff"}, {"title": "Iter-4360dd15-0155-transcript", "modified": "20260424230811000", "tags": "iteration transcript"}, {"title": "Iter-4360dd15-0155-fact-pmc4083033-xml-coordinates", "modified": "20260424230807000", "tags": "fact erratum verification 4360dd15"}, {"title": "Iter-4360dd15-0154-reflection", "modified": "20260424230700000", "tags": "iteration reflection"}]}
【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 read_note({"title":"Iter-4360dd15-0155-fact-pmc4083033-xml-coordinates"})
【tool:read_note】
{"ok": true, "title": "Iter-4360dd15-0155-fact-pmc4083033-xml-coordinates", "tags": "fact erratum verification 4360dd15", "text": "!! PMC4083033 勘误的 XML 证据链坐标\n\n来源:Europe PMC fullTextXML\nURL:https://www.ebi.ac.uk/europepmc/webservices/rest/PMC4083033/fullTextXML\n\n!! 原句(原文中的被更正句)\n''In detail, female skin was thicker than those of males, which is consistent to many other previous studies [3,15,20]''\n\n!! 更正句\n''In detail, men have thicker skin than do women, which is consistent to many other previous studies [3,15,20].''\n\n!! XML 片段坐标\n- 原句在 XML 字符串中的起始偏移:5712\n- 更正句在 XML 字符串中的起始偏移:5908\n- 两句都位于同一段落链:\n - <p>On the page 130, in the middle of the right column, ... should be corrected as following.</p>\n - <p><bold>Corrected Sentence</bold></p>\n - <p>...</p>\n\n!! 可引用片段\n<code><p>On the page 130, in the middle of the right column, \"In detail, female skin was thicker than those of males, which is consistent to many other previous studies [3,15,20]\" should be corrected as following.</p><p><bold>Corrected Sentence</bold></p><p>In detail, men have thicker skin than do women, which is consistent to many other previous studies [3,15,20].</p></code>\n\n!! 结论\n该勘误不是插入型,而是用一整句更正原句;这使得后续勘误分类/对齐应基于全文逐词替换,而非局部加词。"}
→ call define_tool({"name":"xml_sentence_locator","description":"Fetch or inspect XML/text and locate exact sentence strings with start offsets and surrounding context; useful for Europe PMC fullTextXML verification and diff coordinate extraction.","code":"import re\nfrom typing import Any, Dict\n\n\ndef run(**kwargs):\n \"\"\"Locate target strings in XML/text and return offsets + context.\n\n Parameters\n )
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call run_python({"code":"from urllib.request import urlopen\nurl='https://www.ebi.ac.uk/europepmc/webservices/rest/PMC4083033/fullTextXML'\nxml=urlopen(url, timeout=30).read().decode('utf-8', errors='replace')\norig='In detail, female skin was thicker than those of males, which is consistent to many other previous studies [3,15,20]'\ncor='In detail, men have thicker skin than do women, which is consistent to many)
【tool:run_python】
{"ok": true, "stdout": "FOUND 5712 116\n.38.2.120</ext-link></p><p>On the page 130, in the middle of the right column, \"In detail, female skin was thicker than those of males, which is consistent to many other previous studies [3,15,20]\" should be corrected as following.</p><p><bold>Corrected Sentence</bold></p><p>\n---\nFOUND 5908 109\n\" should be corrected as following.</p><p><bold>Corrected Sentence</bold></p><p>In detail, men have thicker skin than do women, which is consistent to many other previous studies [3,15,20].</p></body></article>\n---\nlen xml 6038\n", "stderr": "", "returncode": 0}
→ call define_tool({"name":"xml_sentence_locator","description":"Fetch or inspect XML/text and locate exact sentence strings with start offsets and surrounding context; useful for Europe PMC fullTextXML verification and diff coordinate extraction.","code":"import re\nfrom typing import Any, Dict\n\n\ndef run(**kwargs):\n \"\"\"Locate target strings in XML/text and return offsets + context.\n\n Parameters\n )
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call define_tool({"parameters":{"name":"xml_sentence_locator","description":"Fetch or inspect XML/text and locate exact sentence strings with start offsets and surrounding context; useful for Europe PMC fullTextXML verification and diff coordinate extraction.","code":"import re\nfrom typing import Any, Dict\n\n\ndef run(**kwargs):\n \"\"\"Locate target strings in XML/text and return offsets + context.\n\n Pa)
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 3 required positional arguments: 'name', 'description', and 'code'"}
→ call define_tool({"name":"xml_sentence_locator","description":"Fetch or inspect XML/text and locate exact sentence strings with start offsets and surrounding context; useful for Europe PMC fullTextXML verification and diff coordinate extraction.","code":"import re\nfrom typing import Any, Dict\n\n\ndef run(**kwargs):\n \"\"\"Locate target strings in XML/text and return offsets + context.\n\n Parameters\n )
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call write_note({"tags":["fact","erratum verification","4360dd15"],"text":"!! PMC4083033 勘误:原句与更正句的 XML 精确坐标\n\n本轮用 run_python 直接拉取 Europe PMC fullTextXML 并在原始 XML 字符串中定位到两句:\n\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)
【tool:write_note】
{"ok": true, "path": "C:\\Users\\yh599\\Documents\\GitHub\\LLM-yh\\Sisyphus\\wiki\\tiddlers\\Iter-4360dd15-0156-fact-pmc4083033-xml-offsets.tid", "title": "Iter-4360dd15-0156-fact-pmc4083033-xml-offsets"}
【assistant】
本轮已完成的最窄子任务:**把 PMC4083033 的勘误从“页面/摘要级”推进到“原始 fullTextXML 级”,并锁定原句与更正句的精确偏移坐标**。
结果:
- 原句偏移:5712
- 更正句偏移:5908
- XML 总长度:6038
- 结论:这是**整句替换型**勘误,不是插入型
我已把这条证据沉淀到记忆:
- Iter-4360dd15-0156-fact-pmc4083033-xml-offsets
下一步最值得做的是:**把这两句在 XML 中做逐词 diff,输出“改了哪些词/删除了哪些词/新增了哪些词”的最小编辑脚本**。
<NEXT_FOCUS>对 PMC4083033 的原句与更正句做逐词 diff,生成最小编辑脚本并验证其是“整句替换”而非局部修补。</NEXT_FOCUS>
```