{
  "title": "评测历史：问题、机制动作与证据边界",
  "scope": {
    "worktree": "meyo-upgrade-b-20260918",
    "allowed_output_directory": "dev/boss-report-2026-09-23/mechanism-story-20260927",
    "no_business_reruns": true,
    "no_browser": true,
    "no_product_changes": true,
    "no_remote_writes": true,
    "public_safe_summary_only": true
  },
  "fiveCriticalFacts": [
    "61.2%＝旧pipeline 65题＋Auto在100错题中救回36题，再除165；不是Auto单次165题成绩。",
    "118确有原文，但只明确附件救回12题，101→118的其余5题未知；154→157含定向返工与700→1200s加预算，不能全算某一机制的净提升。",
    "164/165是历史累计峰值，后文明确清掉3道泄漏假胜改报161/165；现存“164条正确清单”只有163个独立qid，不能用文件行数证明164题通过。",
    "两套公平40不能混：GAIA最难40题Auto旧分析为22/40；BrowseComp为2/40→6/40，且前后模型/预算与包装记录不一致，不能宣称公平提升3倍。",
    "LoopArena 79/90是Controller分类决策，不是Auto/军团工程完成率；BC现存9/21是多轮曾对并集，也不是单发准确率。"
  ],
  "chartPolicy": {
    "allow_single_curve": false,
    "reason": "基线单发、错题救回、累计最好、清账更正、难题定向与控制器分类属于不同统计量；建议分类时间线/独立卡片。"
  },
  "milestones": [
    {
      "id": "gaia-pipeline65",
      "title": "先把旧基线的分母说清楚",
      "date": "2026-08-09 原文汇总；具体首轮执行日期未绑定",
      "dataset": "GAIA 历史165题",
      "denominator": 165,
      "sample": "旧 pipeline 全题单；错题100进入后续重跑",
      "model": "实际模型及逐题路由未由该报告绑定",
      "version": "pipeline；确切代码版本未恢复",
      "measurement_type": "旧基线自述",
      "problem": "旧报告把不同执行路径放在同一能力结论下。",
      "mechanism_action": "核对旧 pipeline 65 与重跑100的账本关系，不把它改写成新版单发基线。",
      "result": {
        "reported_hits": 65,
        "reported_total": 165,
        "percent": 39.3939,
        "display": "旧 pipeline 65/165 ≈39.4%"
      },
      "evidence_levels": [
        "E1"
      ],
      "source_refs": [
        "KM-2780280477",
        "KM-2779881874"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "39%是取整的旧路径成绩；不能视作相同模型、工具、时间预算下的受控基线。"
      ],
      "unknowns": [
        "原始165题首轮结果文件与实际模型清单未在本轮恢复。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-auto36",
      "title": "给 Auto 真正的工具执行入口",
      "date": "2026-08-09（正文）；两篇报告创建于2026-08-10",
      "dataset": "GAIA 旧100错题；总账165题",
      "denominator": 165,
      "sample": "错题100：非附件70，附件跳过30；最终36救回、26答错、8超时",
      "model": "原报告未绑定实际模型；不读取旧配置代替运行事实",
      "version": "auto重型档；报告引用1499e130、18f4da0a、e4de9f62、d4482756，未恢复其历史源码",
      "measurement_type": "错题救回与旧基线并集",
      "problem": "pipeline 缺少 shell/API/脚本执行；异常兜底还曾读错 tool_log 字段。",
      "mechanism_action": "切到 Auto 工具执行；summary/result 字段修复；归档每题 trace。视频工具引导减少错误抓取路线，但4题仍未答对。",
      "result": {
        "recovered": 36,
        "miss_subset": 100,
        "non_attachment_subset": 70,
        "old_hits": 65,
        "combined_hits": 101,
        "combined_total": 165,
        "percent": 61.2121,
        "display": "65＋36＝101/165，61.2%；36/70＝51.4%是非附件错题救回率"
      },
      "evidence_levels": [
        "E1"
      ],
      "source_refs": [
        "KM-2780280477",
        "KM-2780533291",
        "KM-2779881874",
        "REVIEW",
        "T-LATE-RERUN-A",
        "T-LATE-RERUN-B"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "不是 Auto 同版本一次独立重跑165题；11/25=44%是37题处理进度中的阶段样本，不与36/70并排当版本提升。",
        "工程失败分类不证明移除失败后一定答对。F3工具路线改善不能说成视频正确率提高。"
      ],
      "unknowns": [
        "完整 .gaia_auto_100miss_rerun.jsonl 未找到。现存同名trace目录的两份checkpoint是8月25–26日native记录，不能顶替8月9日的36次救回证据。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-118",
      "title": "附件先从“拿不到”变成“能读取”",
      "date": "8月上旬阶段值；原文“今日”未绑定日期，快照修改至2026-08-17",
      "dataset": "GAIA 历史165题",
      "denominator": 165,
      "sample": "旧101题累计基础上继续救回；逐题增量名单未恢复",
      "model": "未知",
      "version": "fetch_gaia_file / 附件本地化；具体提交未绑定",
      "measurement_type": "累计阶段自述",
      "problem": "题面只有附件名，受限数据集访问与本地资料缺失使附件题被跳过。",
      "mechanism_action": "补齐附件访问与下载入口；把文件交给表格、PDF、图像与音频工具。",
      "result": {
        "reported_hits": 118,
        "reported_total": 165,
        "percent": 71.5152,
        "reported_attachment_recovered": 12,
        "display": "118/165＝71.5%；同文称附件已提升12题"
      },
      "evidence_levels": [
        "E1"
      ],
      "source_refs": [
        "KM-2778375484",
        "KM-2781947413"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "101→118共17题，但原文只明确附件贡献12题；余下5题不能臆造归因。",
        "该文还混入更晚92.7%自报表；标题日期不能充当118的精确跑批日。"
      ],
      "unknowns": [
        "118名单、12道附件题逐题前后trace、实际模型及预算均未恢复。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-130-correction",
      "title": "先修“曾经答对”的记账资格",
      "date": "2026-08-10（周报正文）；另段落把清账并入8月9日，保留日期冲突",
      "dataset": "GAIA 历史165题",
      "denominator": 165,
      "sample": "pipeline OR auto 去重；曾报152，收紧可信来源后130",
      "model": "未知；旧各轮可能混用",
      "version": "ever_correct来源收紧；附件包38份、recursion_limit 70→130",
      "measurement_type": "记账更正＋累计救回，不能合并为纯能力Δ",
      "problem": "旧 ever_correct 会把不可信来源计为正确；缺附件与递归上限同时影响交卷。",
      "mechanism_action": "只承认可信结果来源，按题去重；补附件入口并提高深题递归预算。",
      "result": {
        "retracted_hits": 152,
        "corrected_hits": 130,
        "total": 165,
        "percent": 78.7879,
        "display": "152→130是清账；101→130是另一个累计救回描述"
      },
      "evidence_levels": [
        "E1"
      ],
      "source_refs": [
        "KM-2779630806"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "下降22题是纠错，不是模型退化；“新增29题”不能都归给附件或某一预算改动。",
        "该周报151/153/130的日期排序和概述存在交错，不拼成连续单发成绩线。"
      ],
      "unknowns": [
        "152污染项列表与130可信项全量账本缺失；各动作净贡献未隔离。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-154",
      "title": "视觉题从粗读走向可计算的结构",
      "date": "2026-08-13（周报）",
      "dataset": "GAIA 历史165题",
      "denominator": 165,
      "sample": "长期错题定向返工；非随机新样本",
      "model": "周报泛称Claude/GPT/Gemini多模型；逐题实际模型未知",
      "version": "多空间访问、几何闭合、视觉局部读取；当前实现见CODE-GEOMETRY",
      "measurement_type": "累计最好成绩自述",
      "problem": "图像数字漏读、几何结构不闭合；机制能运转仍不等于能解剩余题。",
      "mechanism_action": "让图像输出可检查的边/顶点，利用闭合约束与精确计算；接通进化和回测。",
      "result": {
        "reported_hits": 154,
        "reported_total": 165,
        "percent": 93.3333,
        "display": "154/165＝93.3%；同期11错题的自进化尝试仍报告0题救回"
      },
      "evidence_levels": [
        "E1",
        "E3"
      ],
      "source_refs": [
        "KM-2779630806"
      ],
      "code_refs": [
        "CODE-GEOMETRY"
      ],
      "trace_refs": [
        "T-GEOMETRY"
      ],
      "causal_boundary": [
        "现存几何成功trace在8月14日，证明该工具后来真实使用，不单独证明8月13日154的每个增量。",
        "不采纳“只剩11题就是能力上限”的永久结论；后续记录已推翻。"
      ],
      "unknowns": [
        "完整154题版本绑定及前一轮逐题成绩缺失。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-157",
      "title": "拆小视觉读数，并让深多跳有时间走完",
      "date": "2026-08-14（周报及几何/多跳trace）；分数图存档为8月15日",
      "dataset": "GAIA 历史165题；定向4错题",
      "denominator": 165,
      "sample": "4道定向返工报告3救回：分数图9318445、多边形6359、多跳872bfbb；NatGeo在该小实验中未过，后续再过",
      "model": "实际逐题模型未知；视觉调用含VLM/异构读取",
      "version": "v99r意图补救、v99t中途模态纠偏；多跳预算700→1200s",
      "measurement_type": "累计3题增量＋定向复测",
      "problem": "分数图整图读取漏样本；几何视觉误读；多跳链在700s内走不完。",
      "mechanism_action": "分数图先按像素切格再逐格读取，Fraction精算；几何闭合＋鞋带公式；意图自检输出造工具/换路线建议；多跳增加到1200s。",
      "result": {
        "reported_before": 154,
        "reported_after": 157,
        "total": 165,
        "percent": 95.1515,
        "targeted_rescue": "3/4（历史自述）",
        "display": "154→157；定向4题救回3题，非泛化75%"
      },
      "evidence_levels": [
        "E1",
        "E3"
      ],
      "source_refs": [
        "KM-2779630806"
      ],
      "code_refs": [
        "CODE-AUTO",
        "CODE-GEOMETRY"
      ],
      "trace_refs": [
        "T-GEOMETRY",
        "T-FRACTION",
        "T-MULTIHOP"
      ],
      "causal_boundary": [
        "多跳同时换策略和加500s预算，不是同预算算法单因果。",
        "几何存档含9条工具记录：闭合与面积39、独立计算、最终交付均在；只能确认此局过程。",
        "分数图“3次1对→5/5”及4题3救回是报告所述；未找到五份独立对应运行，不能升级为本轮复现。"
      ],
      "unknowns": [
        "多数旧失败trace缺失，完整逐题前后配对不足；当前源码不等于v99r/v99t历史字节。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-video",
      "title": "先纠正“该看视频却只搜文字”，再谈答对",
      "date": "2026-08-14及8月24回顾；各成功记录不同步",
      "dataset": "GAIA 定向多模态难题",
      "denominator": null,
      "sample": "NatGeo、视频读数、模糊墓碑等定向案例",
      "model": "逐题实际视觉模型未绑定",
      "version": "v99s/v99t；modality_recorrect 更新session.modality_needs",
      "measurement_type": "行为改善与后续个案成功",
      "problem": "开局被判为text后无法转向视频；取得帧也可能读数错误或过早放弃。",
      "mechanism_action": "把模态纠偏写回共享现场，使后续真正调用视频帧/转录；局部放大、换来源、多模态核验。",
      "result": {
        "display": "NatGeo后续记录命中；Cheater先从0次视频调用变为真实调用，但当次仍可能超时/答错",
        "not_a_dataset_score": true
      },
      "evidence_levels": [
        "E1",
        "E3"
      ],
      "source_refs": [
        "KM-2779630806",
        "KM-2781947413"
      ],
      "code_refs": [
        "CODE-AUTO"
      ],
      "trace_refs": [
        "T-NATGEO"
      ],
      "causal_boundary": [
        "NatGeo现存8月14日trace有85条工具记录，含7次取帧、3次转录；这不能证明所有视频题稳定正确。",
        "周报“8次”与括号列7+1+1不完全一致；本报告不用该数作为精确计数。",
        "同一周报先称信息墙、后写新通过，说明是不同时间点，不可挑最乐观段落覆盖失败。"
      ],
      "unknowns": [
        "0次→后续调用的同配置成对原trace未完整恢复。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-164-161",
      "title": "高分之后，反查成功记录有没有被污染",
      "date": "2026-08-15报告峰值；2026-08-24周报回顾更正",
      "dataset": "GAIA 历史165题",
      "denominator": 165,
      "sample": "累计曾对；不是一次性独立165题测试",
      "model": "多轮模型/预算混用，未逐题恢复",
      "version": "首胜快照win_ckpt、来源/泄漏清理、评分器修复",
      "measurement_type": "峰值自述后更正",
      "problem": "答案泄漏、空gold的降级回答误写正确、双键与后写覆盖会污染成功账。",
      "mechanism_action": "保存首胜现场并核验成功来源；隔离标准答案，清掉被污染胜局；修复记忆身份与评分口径。",
      "result": {
        "peak_reported_hits": 164,
        "corrected_reported_hits": 161,
        "total": 165,
        "peak_percent": 99.3939,
        "corrected_percent": 97.5758,
        "display": "曾报164/165＝99.4%；后文明确撤回3道泄漏假胜，改报161/165＝97.6%"
      },
      "evidence_levels": [
        "E1",
        "E2"
      ],
      "source_refs": [
        "KM-2780834005",
        "KM-2781947413",
        "GAIA-CORRECT",
        "EVIDENCE-README"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "164不能作为当前无污染单发准确率；161也仍是当时的累计自述，不是本轮重新判题。",
        "本地gaia_correct_ledger实际164行、163个独立qid，NatGeo重复；不能拿行数替164题通过。",
        "另有162/165、163/166等历史快照，分母与去重范围不一，不认定哪份代表“最新真实分”。"
      ],
      "unknowns": [
        "三个被撤回胜局的完整原始污染/清理/干净复跑链未恢复；主gaia_ledger.jsonl在本工作区未找到。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "bc-delivery",
      "title": "找到了答案，交卷时却被换掉或丢掉",
      "date": "2026-08-18至2026-08-19",
      "dataset": "BrowseComp 小样本",
      "denominator": null,
      "sample": "Russell同题多轮与20题累计台账，不是全部BrowseComp",
      "model": "longcat-2.0及Opus；旧号称longcat的若干run后来标为Opus/polluted",
      "version": "42d56208、de77e2e5、da95c92d、d646232c（报告引用，历史提交未回放）",
      "measurement_type": "机制个案＋累计最好成绩",
      "problem": "正确候选因覆盖率0.10被换错；done-final为空；工具请求400；撞墙时只剩元评论。",
      "mechanism_action": "补done-final、工具消息兼容；保留已有候选、低覆盖继续补证；收尾读取候选。",
      "result": {
        "reported_snapshot": "6/20=30% ever_correct",
        "display": "交付修复有同题回正记录；不能说一次修复后整集30%或38%"
      },
      "evidence_levels": [
        "E1",
        "E2"
      ],
      "source_refs": [
        "KM-2781326969",
        "KM-2781448048",
        "BC-LEDGER"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "Q1 v165c错→v165d对在现存账中都标polluted，不能包装成干净受控因果。",
        "同题longcat的bc_vault失败、bc_allfix成功，之后bc_arch又失败，说明仍有波动。",
        "400消失或非空交卷只是运行改善，不等于推理正确率提升。"
      ],
      "unknowns": [
        "该阶段所有原tool_log与模型请求回执未完整重绑；周报38%不能与6/20作为单一同口径序列。"
      ],
      "single_run_curve_eligible": false
    },
    {
      "id": "bc-ledger-audit",
      "title": "把“跑对次数”和“曾经跑对的题数”分开",
      "date": "账本last_updated对应2026-08-21；本轮只读重计",
      "dataset": "BrowseComp 历史小样本",
      "denominator": 21,
      "sample": "当前账21题，110条attempt；含polluted及可能重复登记",
      "model": "混合longcat/Opus/native标签，不是一配置",
      "version": "多轮历史run_id合集",
      "measurement_type": "旧账本累计重计",
      "problem": "README、周报和现存账本并非同一快照。",
      "mechanism_action": "按题计ever_correct，并与attempt数量分列；保留污染标记，不把择优档案视为单发测试。",
      "result": {
        "questions": 21,
        "attempt_records": 110,
        "ever_correct_questions": 9,
        "correct_attempt_records": 33,
        "display": "现存账9/21曾经答对，110条记录中33条标正确；不是单发42.9%"
      },
      "evidence_levels": [
        "E2"
      ],
      "source_refs": [
        "BC-LEDGER",
        "EVIDENCE-README"
      ],
      "code_refs": [],
      "trace_refs": [],
      "causal_boundary": [
        "README称8题、2164次等数字与现存JSON结构/计数不符，不能照搬。",
        "同题不同run甚至同elapsed的记录可能重复，110不声称110次独立实验。",
        "被保存的成功trace是挑过的，不能据此估计成功率。"
      ],
      "unknowns": [],
      "single_run_curve_eligible": false
    },
    {
      "id": "gaia-fair40",
      "title": "难题单发低分，先查评分与实验条件",
      "date": "2026-08-25",
      "dataset": "GAIA 定向最难40题",
      "denominator": 40,
      "sample": "从Auto单发错题中按反复重跑次数挑40，不是随机抽样；指纹91ae647b770935e4",
      "model": "报告：Auto opus-4.8；其他多家gpt-5.6-sol；CC混合，非同模型",
      "version": "fact_hit/语义规范化、搜索落账修复；报告称墙钟1200s/格",
      "measurement_type": "定向40题单发旧结果重计＋评分更正",
      "problem": "粗糙匹配漏判格式/拼写等价；搜索写到备用账被误判零搜索；中途模型配置变化。",
      "mechanism_action": "合并搜索证据来源，修复判分；对GAIA允许合法零搜索；明确模型不一致。",
      "result": {
        "auto_hits": 22,
        "total": 40,
        "percent": 55.0,
        "exact_tagged": 18,
        "semantic_tagged": 4,
        "no_final": 12,
        "other_harness_hits": {
          "auto": {
            "rows": 40,
            "hits": 22
          },
          "codex": {
            "rows": 40,
            "hits": 33
          },
          "hermes": {
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            "hits": 25
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          "deepseek": {
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          "cc": {
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            "hits": 19
          },
          "deepagents": {
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            "hits": 10
          }
        },
        "display": "Auto 22/40＝55%；旧分析可重计，其中18 exact、4 semantic"
      },
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        "E1",
        "E2"
      ],
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        "GAIA40-ANALYSIS",
        "GAIA40-MANIFEST"
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      "causal_boundary": [
        "22/40不是从GAIA98%退化到55%，前者为专挑难题单发，后者曾对累计。",
        "修判分带来的涨分不是解题能力新增；非同模型不能归因哪家Harness本体更强。",
        "报告163/166、65/166与历史165分母冲突，且65/166不等于其写出的39.4%；不静默归一化。"
      ],
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      "title": "拆掉丢答案的环节，再核对改后记录",
      "date": "2026-08-25基线；2026-08-26修复报告",
      "dataset": "BrowseComp 公平40题（与GAIA40不同）",
      "denominator": 40,
      "sample": "同一BC40题单；指纹dec773637bb11267；两条命中案例可追旧包装记录",
      "model": "基线报告称gpt-5.6-sol/1200s；clean汇总写opus-4.8/300s；latest包装又多写gpt-5.6-sol/1200s",
      "version": "移除交卷阻断、模块单例、fresh session、干净收尾、软收敛提示、query去重",
      "measurement_type": "前后旧结果＋配置不一致的修复报告",
      "problem": "交卷门反复阻断，双导入分裂_SESSIONS，旧状态重新注入失效指令，收尾拿工具噪音当答案。",
      "mechanism_action": "清理上述信息/交付链；将收敛做提示而非强制替模型答题。",
      "result": {
        "reported_before": 2,
        "recounted_after": 6,
        "total": 40,
        "after_percent": 15.0,
        "display": "2/40→6/40有旧报告及6条hit可重计，但不是已证同模型同预算提升3倍"
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        "E2"
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        "XML与电影题的before/after包装hit由false变true；包装不含完整tool_log，“271→20工具”仍只是报告自述。",
        "after包装finished-start不等于elapsed_wall_s，搜索计数也与search_requests长度不一致；不得假装其是完整干净运行收据。",
        "原文把先验正确和泄漏混为一谈；先验知识本身不是作弊，只能把证据充分性另列。",
        "失败分类97%工程问题不等于修完将有97%准确率，也不证明剩余已无bug。"
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      "date": "2026-09-07（本地提交a2a15843）",
      "dataset": "LoopArena Type I",
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      "sample": "现存90条、90个独立id；逐项预测是否正确",
      "model": "文件名与提交自述为gpt-5.6-sol；结果未逐项携带可核实际模型身份",
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      "problem": "需要分清“控制器判断下一步”与“系统真的完成工程任务”。",
      "mechanism_action": "跑既有Type I题单检验Controller决策；本轮只重计correct字段，不执行任何题。",
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        "correct": 79,
        "total": 90,
        "percent": 87.7778,
        "error_records": 0,
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        "E2"
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        "不等于Type II/III真实工程完成率；不继承提交文案中的“世界第一”外部排名。"
      ],
      "unknowns": [
        "完整运行命令、预算、实际请求模型回执未在本轮材料中恢复。"
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      "problem": "方案里提到第二评测集，不代表已执行。",
      "mechanism_action": "只列已读到本地结果的GAIA、BrowseComp与LoopArena；其它列缺口。",
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