Minerval

← run 1ac4c71a

Run step

Step 5: assistant

2026-11-15 04:45:52 UTC · previous step · next step

thinking

Calls code_execution

{
  "code": "for q in [\"Same Question, Different Lies C3 arxiv recall 5% FPR\",\"C3 sandbagging detection recall GPQA USACO password-locked\"]:\n    r=await web_search({\"query\":q})\n    if isinstance(r,str): r=json.loads(r)\n    for x in r[:6]:\n        if isinstance(x,dict): print(x.get('title'),x.get('url'),(x.get('content') or '')[:600].replace('\\n',' '))\n    print('---')"
}

Calls web_search

{
  "query": "Same Question, Different Lies C3 arxiv recall 5% FPR"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_015crPTKrF9Qe7HMt16FMaPa"
  },
  "content": [
    {
      "url": "https://arxiv.org/html/2505.13787v2",
      "type": "web_search_result",
      "title": "Preference Learning with Lie Detectors can Induce Honesty or Evasion",
      "page_age": "362 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2307.02394",
      "type": "web_search_result",
      "title": "arXiv:2307.02394v1 [cs.CL] 5 Jul 2023",
      "page_age": null,
      "encrypted_content": "EsUMCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDEd+I7e+hl1uDISSshoMcCAraYcZ/0rzmL8pIjCK2i/FilGv0dVdlohSDjIQkCD+TPefyOvZBkMx6TNwdIw8TyQdXtGNIOFdJV88+WwqyAsLcGXeST0ncMWB4bHQPM8ZV1/d8gUDSbn3f2rRa+HkKa9Eik5rQXsv+Cxh/cOjxzW2e3ymZVqNLTe34QMV4B7DGFlvywyCUNK0QOSN0DrXy+aU0On3FIq63WU4ShtISCOGnDFx76zx6nEpJMCLo08Ab8ubZx9vMtm++0VmUBfjy/jebcrfawKOg/70EbAa1OVCR0kOFgCcXYM4glL8awmAdro2xmJ2EDrof/GMDNBRkJsaAO8knyT216ExtSWV26SdRadh7f5l7hruwLx31wRLeEAE6YNlITQ8vOpSLZ5jrynOpVRutWr5YcFvln8hNl0iSVNhn63hAjkxSOiZ1wqgLTKobqPEoFJSET0NkbQez6j9tmKu+/+NvR+4LKzQHm9/f0plHinwwE5zIA18AJVfr+/Xv7hVdA2LbJceAj+s6jTyFRaYEcP9wHDN1jrQjiaELuywbM43eGwwLVhWZymOW8TU4tIqHgtLOcH5BsWosJ76i7F1x5XeovyXr6bJEWcfJy2iqyBYksKQ6ZXlQKT90ytaIIP/L6cHYfMNBk4u7tOw315BhMbMF/0Jmjnvd4epnhDDWJ1s2wOZyMimjSy3Q0Saui8sysWI0gNoQJoBe1sKdd5WVAtJSyYmVftfwxEO3lu/qlzvPy6y8hvL30AHTumuzZtKzL/uX5NNeR1Fs9lTSyq34kq6ydRlw1RyR3OvtnHy8fWN/yQLEsNvhOkJ0Md6Wz65+kMf7r0HmkDtk0pxjX4CL2ilG8JuntWZXwj/FCHX+Wz3qjyFh1k1/iYrmcrtnwCLT6ai9/PYkXus8rCCrOMgUaLf07vvMU3it6RghrSfGptgJzqg1AAqwJPNVO3QL9KucFYvsiZdKAXSvPfmjpPwxbW/qvtD0caZ6mur3vbrIrQ/G9cXthlyx1YRGEjGBv9ekKgRRaKf5gqYo/A7IFpl2+a3Dmkou80hLjIcOtlbGerYSnO0QRmWc5zWSCDJKqHjRjNV0Wv1ujwNWck2SkZx80I4HqXRN/exKoCU5iaFYqIcwxmsOJ8ItI3kpwfofOFRWP8HKnh/NNwnIvLFIXZzJGqxzjOJiyYdaQsxQf3pEokd1Wb9Gk0HWrTiyj/3ZxLGBopene/VAO+3/6nUrmFOpQV/4AvMhRMW/8sGyOwanWcxICRRp4fi2monxxGPoQWdv6q0yRkHKwwna0D7h6rRLa2O8xGlvqc8JKlCS8HlAtOH4aHHO/MauVS7jhc/Xo/HCLAAeMST9A5fvHlkMUBgPCo0ZqoD35+bqyP+XQA6WQNvI0X9dKETfHRag+FxnUPDMhVTrZHRrq/sTt3qQyHoKH7erzhKnhuyCqVsMRBTqWTRr7xlyaE4Cg+++rp4ftWMAjLfY9uU+dlCgewVc6t+H+aujw7UwiCS8vb01v+vmZbvP8vnCxf+57aJ6kshkAFOvt+8DWM05qCNWPHp3RMjxPZ4YyMjK1CSn5R+W2YLbIHjIbXaYQ4p1oLw0N7+HtpRi57F66CUFt08sE52ya73VoxLGNMqKPvZbpft8FvyC/k0t7vImulsvThtaGu7Hd3XdUgeMuehrpyMJk+FS1UKUHEOoBt0rDIX8lNnEkSZR9qedktTl0ZCwQfcObxTGWVMFIUOVgPw8G+tUnKulKh40DyTo2hCkKw+ntY1ucYHaTZi0ClxLKO29rhlHWwIr4ozouZU5VXFAJIODz5FV8sOjAzeooyBvfn2reobPjgoyRMR3c7s/b+JzzbZ5PTYf9I3PN+Bk9IZUVDh8t4GHZ5ZWkVIHcZ0eUWx7IZYt/UgItbTdv2fRaNibcVbQbp6vHj7kPZMy4KGm0yQkp2HbXuWkuA1xbMXrFaBrA6naxOTwo9wMXqt2iACRqT84AWuhtNzNBwvhqvKcRc97gZEqEva+xEf9GkLszKBBZJzEXMdfa/tTICvqd4wZDRthTF/MbEOX0GRSIZHtDcvrg1J52zJ0v9LGAM="
    },
    {
      "url": "https://lacuna.tiptreesystems.com/work/same-question-different-lies-cross-context-consistency-c3-for-black-box/wrk_998abed3a801cfe59200f4eb8bf5c019",
      "type": "web_search_result",
      "title": "Same Question, Different Lies: Cross-Context Consistency (C³) for Black-Box Sandbagging Detection — Lacuna",
      "page_age": "64 days ago",
      "encrypted_content": "Et0NCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDOlGoJbbS/Vpmbvd8RoMayS0pHqA5cmL/f+NIjBkZwDVNTUb6CD3XS6hVliYKsqcJyemcZ/jFUQGJj7BLMpmGp/l7S46JmVdwoxdkFsq4AxyejyQ+Q4Sa+Wk3mO5CADyqGmc8ui17xGsfQi6mF4nEzvqivCgkq5LzGl/HwihB0G8RvV1wjyctbLlQaFvdhjZ1mYXsHUZF7ss+jLG/ZoiS2hGPe0wirAvCu8sY/nRDaAqlk6fo7QwIr3XWkZ8FjxT/3igSRIp1+/kpiCk16vHeBmkQLlIIqWcy8NSn1SXt5aj4kJ3g0PtlUd7YEMqNjXQSxiuUkHntXpCwB3LYB+1JV/2DljKO+1Raxv6/0nd0IY1Xqv9OuHxO7XFIsAW5+TRCyF9v8zyal4iSfG03tWOXGXvD62EEHw5HM7lBYniFzeIfeBosHy1kxORsgBNJPP9wAQZPhzqBDgokjet0Mq8Xp7RlwuNAY09DV6j7KeOtvowUVn9imIHpqn7n7UylLeCMGERxjLApA70n47XP0KyJwk75GKslnnRtcbxeNBgPpF2TBHl5Wg8adbyXeLfGcWlqPAxS+8R7PE0MENyxinnRBLlbyTzCbUWqNYFMgVqY9fQhCTsAivz5RUwq6xxxV7xObeCac5ShG655nyZdKFdZt43rU3bXFqL43eumbcDDhyrFIoNyriUDfwZO5cVdV1pGItWNr4LL+EWcwJOwgbAptnB3GtswfJuRni8TqoC0mq+Ate+OZNMNspgKcEwciVaxs1BTu+UjcQIS843gFs0Bp8sAFSd9u2WMLEuKEfPhfgMrWr6Nz9tbEuQNZHCOCgrW8QItitUGu/1Y8Y2ka+DzXSkN7nLxr7SF6BdA0itY9timPuepgvzvUW7FnBpNO9wQVGrCmG2VVO/zyuy63IovAMYhZoZ6UGnVlwJlGiWKFnxQLLFQIWCKD72oRzycKGOCXRy6bQPFWIbY49wf6q6qGNuUJBffVAZwOVc7QqE0WK1habkM4WAq4Q5oOlkuDk3dH1+EgS8erioo5V1i1ka0E+yTl57C79BK2I6CjDsIVz0PRs+THrDWLcZzVciBB74MEo72K0AuMLfW77m2yJW1990CGE0R4mUUrDUX5sw/2QG3P1KXoXk5POQo8Bb6HE2bYkQw7Mx0LZceK3SN45G/F+E7jftoH5m5+C9jGqwbTtphIUcXiBl+w/vF8kF1g+jGduyHMtQ2ho61wkOij5KNzQZwerfA0/bVGvcHKgRVVCvP9SM/Ovx0EYqZYXexXRgGDM4DiuBH2IZAhFfyrReTrki1/2o0QlAdKV0JotoHbAzXsuiGade277lAQm456N6RdHSIP+j6H8h5KHcZ0wT8F+d07qBBTAEWHDUz/xnSYFdF374DtezdUUON5iRjrHQuRfSNT6HoFjAE1i3+8z0L0hsiBp5VgsAPV1KXbGbawpaAz2heypRXoPLtJugH9kQ0M0ftlF+oCtPVWW5nDk5GJwyOSAj8QbfsjZHQOlPNcLVIHbcG42OtfeVLBySuJIDNVjCfR7O1RKqlHAxfRBYYEn/gB+dJ+ZSn7annCxcuVZ/XWN9Vba7pe3bPuItrseMZ6Rxk7GR2DjEbnIYI7lkanaYIEzvhzgvMixOCv9sXlHjBdAXEUwjtjuF/RhxHclwWQA7GYwevRoZ5Rm98BWHYFltWz7K+9UzZlMyntY+uz/r8ZEKb9cgcO+8icSgWNJkUgGyJvHr12Y3wehzZhA7uAYEiApj5EcCzgECUwIT/Hl5RcOgt2jTc+LIagQ3RaulCnarLy3TicOgVlLV51ejMw8c8zaayyhij/EJOih5MZQpEjJx/or13IJE6WfBmYMLk3y1KtXc9k96q1HjbEAa4VSoks8bMPZkTeuv7mYtHVkSxgNjwGPeAzT0gFHFmPyklsC8yefvEy6lPvUg/C1xsClgarNP+8CmL5or943scqea9k8IGZZYPz+ADF1jqtnzzDecODA+UhObt7VhYTd0omNcfJSQG9y5+7OIj9v+WXUa0cVzmxkAf0nKd+Yrt7asehp35a/gS6hxOJFoiC6RG6kdDU9wJzt/YDGHIePz5Dy+GmauuNQCkDT31fIEVIYNoDvtvw2coQ1DbQeasJyGhhSjBPzZAkEdjksrS31g/0PBmghd4tfn/nzgYm9kXUaO5+kEdfyuWa90Z8b4vYns2eCWg+inNK1F2cBZxLYDfzboL+7+Oo7Qrj2ylPRCm/YKp0uaql5beNS3MYHGPPq7zPddauVljWmTj3a5T1JYT/IYAw=="
    },
    {
      "url": "https://arxiv.org/html/2606.30566",
      "type": "web_search_result",
      "title": "Retrieval Observability Boundson Provenance Detectionfor Agent Memory Poisoning:Measured Coverage and a Falsified Standalone Detector",
      "page_age": "117 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/html/2607.22554v1",
      "type": "web_search_result",
      "title": "Same Question, Different Answers:Evaluating LLM Reliability Beyond Accuracy",
      "page_age": "181 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/html/2604.17125",
      "type": "web_search_result",
      "title": "Evaluating a Layered Prompt-Injection Defence for the Model Context Protocol: A Record-Level Audit of Decision Conventions, Corpus Provenance and Reproducibility",
      "page_age": "109 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2112.03570",
      "type": "web_search_result",
      "title": "Membership Inference Attacks From First Principles",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2409.06556",
      "type": "web_search_result",
      "title": "Adversary Resilient Learned Bloom Filters",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.matsprogram.org/research/same-question-different-lies-cross-context-consistency-c3-for-black-box-sandbagging-detection",
      "type": "web_search_result",
      "title": "Same Question, Different Lies: Cross-Context Consistency (C³) for Black-Box Sandbagging Detection - MATS Research",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01PSUT5g6r1CkyKkrPc3tQ4E"
}

Calls web_search

{
  "query": "C3 sandbagging detection recall GPQA USACO password-locked"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_015crPTKrF9Qe7HMt16FMaPa"
  },
  "content": [
    {
      "url": "https://github.com/alignment-research/sandbagging-detection/pull/4",
      "type": "web_search_result",
      "title": "yulong/dev by yulonglin · Pull Request #4 · alignment-research/sandbagging-detection · GitHub",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.researchgate.net/publication/404217003_Removing_Sandbagging_in_LLMs_by_Training_with_Weak_Supervision",
      "type": "web_search_result",
      "title": "(PDF) Removing Sandbagging in LLMs by Training with Weak Supervision",
      "page_age": "206 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://lacuna.tiptreesystems.com/work/when-lie-detectors-learn-model-identity-confounds-in-black-box-sandbagging/wrk_cc46e467031489731dcb56615007b479",
      "type": "web_search_result",
      "title": "When Lie Detectors Learn Model Identity: Confounds in Black-Box Sandbagging Detection — Lacuna",
      "page_age": "64 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://lacuna.tiptreesystems.com/work/same-question-different-lies-cross-context-consistency-c3-for-black-box/wrk_998abed3a801cfe59200f4eb8bf5c019",
      "type": "web_search_result",
      "title": "Same Question, Different Lies: Cross-Context Consistency (C³) for Black-Box Sandbagging Detection — Lacuna",
      "page_age": "64 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://github.com/alignment-research/sandbagging-detection",
      "type": "web_search_result",
      "title": "GitHub - alignment-research/sandbagging-detection · GitHub",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.aisi.gov.uk/blog/auditing-games-for-sandbagging-detection",
      "type": "web_search_result",
      "title": "Auditing games for sandbagging detection",
      "page_age": "341 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://aclanthology.org/2026.findings-emnlp.2154.pdf",
      "type": "web_search_result",
      "title": "An AI Sandbagging Detection Method Inspired by Honest ...",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.psu.edu/news/engineering/story/qa-are-developers-prepared-control-super-intelligent-ai",
      "type": "web_search_result",
      "title": "Q&A: Are developers prepared to control super-intelligent AI?",
      "page_age": "358 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://github.com/romaingrx/token-noise-sandbagging",
      "type": "web_search_result",
      "title": "GitHub - romaingrx/token-noise-sandbagging: Detection of sandbagging through Best-of-N sampling with input-level noise perturbations · GitHub",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_018zSWdsrCYvLDYMvRhkuwi6"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "encrypted_code_execution_result",
    "stderr": "",
    "content": [],
    "return_code": 0,
    "encrypted_stdout": "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"
  },
  "tool_use_id": "srvtoolu_015crPTKrF9Qe7HMt16FMaPa"
}

thinking

Calls record_claim_instance

{
  "url": "https://icml.cc/virtual/2026/poster/61923",
  "title": "Same Question, Different Lies: Cross-Context Consistency (C³) for Black-Box Sandbagging Detection (ICML 2026 poster, lay summary)",
  "stance": "affirms",
  "context": "Lay summary of the paper introducing C³; the abstract itself says more cautiously that C³ maintains 'a classification signal where other black-box methods fail' across prompted and fine-tuned scenarios.",
  "speaker": "Yulong Lin, Pablo Bernabeu-Pérez, Benjamin Arnav, Lennie Wells, Mary Phuong",
  "claim_id": "37c8f4aa-8784-403b-979f-fc06db79597c",
  "confidence": 0.6,
  "publication": "ICML 2026",
  "source_date": "2026-07",
  "source_kind": "conference_paper",
  "verbatim_text": "We tested C³ across a range of sandbagging scenarios and showed that it reliably detected fake incompetence even where existing methods failed, offering a practical tool to help ensure AI safety evaluations can be trusted."
}

Calls record_claim_instance

{
  "url": "https://arxiv.org/html/2611.14950",
  "title": "Stress-Testing Sandbagging Detection Under Adaptive Attack",
  "stance": "mentions",
  "context": "Related work; the paper shows a text-only sandbagging audit falling from AUC 0.978 to 0.560 under two rounds of adaptive retraining, and notes C³ has not yet faced such an attack.",
  "speaker": "Bhoj Rani Soopal, Aarohi Agrawal, Josh Karthikeyan, Edward Lue Chee Lip",
  "claim_id": "37c8f4aa-8784-403b-979f-fc06db79597c",
  "source_date": "2026-11-11",
  "source_kind": "preprint",
  "verbatim_text": "C 3 , which looks for inconsistent answers across paraphrases ( Lin et al., 2026 ) . C 3 is the strongest current black-box detector and would be the natural next target for an adaptive attack."
}

Calls record_claim_instance

{
  "url": "https://lacuna.tiptreesystems.com/work/when-lie-detectors-learn-model-identity-confounds-in-black-box-sandbagging/wrk_cc46e467031489731dcb56615007b479",
  "title": "When Lie Detectors Learn Model Identity: Confounds in Black-Box Sandbagging Detection (summary)",
  "stance": "denies",
  "context": "Summary of the workshop companion to the C³ paper; reports moderate recall for fine-tuned (password-locked) sandbaggers, which cuts against high recall across fine-tuned cases.",
  "claim_id": "37c8f4aa-8784-403b-979f-fc06db79597c",
  "confidence": 0.6,
  "publication": "Lacuna",
  "source_kind": "webpage",
  "verbatim_text": "Password-locked sandbaggers: C³ achieved 52.9% recall on WMDP and 36.9% on GSM8K, outperforming other methods but still facing challenges."
}