Step 11: assistant

thinking

Calls code_execution

{
  "code": "qs = [\"Khan 2024 Debating with more persuasive LLMs leads to more truthful answers judge accuracy increases debater persuasiveness\",\n      \"Kenton 2024 On scalable oversight with weak LLMs judging strong LLMs stronger debaters judge accuracy modest\",\n      \"Toward Alignment Scaling Laws: A Framework and First Preregistered Measurements arXiv 2610.08540 oversight gap\",\n      \"Pressure-Testing Deception Probes in LLMs Scaling Robustness larger models more vulnerable stylistic shift 2605.27958\",\n      \"peer prediction LLM evaluation Qiu Carroll Allen critique collusion adaptive deception limitation\"]\nfor q in qs:\n    r = await web_search({\"query\": q})\n    if isinstance(r,str): r=json.loads(r)\n    print(\"==\",q)\n    for x in r[:4]:\n        print(x.get('title'), '|', x.get('url'), '|', (x.get('content') or '')[:450].replace('\\n',' '))\n"
}

Calls web_search

{
  "query": "Khan 2024 Debating with more persuasive LLMs leads to more truthful answers judge accuracy increases debater persuasiveness"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_013nPWGq9LmQ3gNA56vXFdhg"
  },
  "content": [
    {
      "url": "https://www.alphaxiv.org/abs/2402.06782",
      "type": "web_search_result",
      "title": "Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": "839 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://www.lesswrong.com/posts/2ccpY2iBY57JNKdsP/debating-with-more-persuasive-llms-leads-to-more-truthful",
      "type": "web_search_result",
      "title": "Debating with More Persuasive LLMs Leads to More Truthful Answers — LessWrong",
      "page_age": "1007 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://www.semanticscholar.org/paper/Debating-with-More-Persuasive-LLMs-Leads-to-More-Khan-Hughes/e5d297461c53153b9b7aae099c146741e97322b8",
      "type": "web_search_result",
      "title": "[PDF] Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": "680 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://proceedings.mlr.press/v235/khan24a.html",
      "type": "web_search_result",
      "title": "Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": "856 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://icml.cc/virtual/2024/oral/35483",
      "type": "web_search_result",
      "title": "ICML Oral Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://icml.cc/virtual/2024/poster/33360",
      "type": "web_search_result",
      "title": "ICML Poster Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": "210 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/html/2402.06782v3",
      "type": "web_search_result",
      "title": "Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": "895 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2402.06782",
      "type": "web_search_result",
      "title": "Debating with More Persuasive LLMs Leads to More Truthful Answers",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2510.13912",
      "type": "web_search_result",
      "title": "AI Debaters are More Persuasive when Arguing in Alignment with Their Own Beliefs",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01Y3f2XqhAfe4wVWQo4du7Tw"
}

Calls web_search

{
  "query": "Kenton 2024 On scalable oversight with weak LLMs judging strong LLMs stronger debaters judge accuracy modest"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_013nPWGq9LmQ3gNA56vXFdhg"
  },
  "content": [
    {
      "url": "https://arxiv.org/pdf/2407.04622",
      "type": "web_search_result",
      "title": "2024-7-15 On scalable oversight with weak LLMs judging strong LLMs",
      "page_age": null,
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    },
    {
      "url": "https://www.semanticscholar.org/paper/On-scalable-oversight-with-weak-LLMs-judging-strong-Kenton-Siegel/e4a5d94e72f7ef540b98991f5e01b8ae022cc8d7",
      "type": "web_search_result",
      "title": "[PDF] On scalable oversight with weak LLMs judging strong LLMs",
      "page_age": "690 days ago",
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    },
    {
      "url": "https://www.lesswrong.com/posts/Qn3ZDf9WAqGuAjWQe/on-scalable-oversight-with-weak-llms-judging-strong-llms",
      "type": "web_search_result",
      "title": "On scalable oversight with weak LLMs judging strong LLMs — LessWrong",
      "page_age": "856 days ago",
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    },
    {
      "url": "https://arxiv.org/html/2407.04622.pdf",
      "type": "web_search_result",
      "title": "On scalable oversight with weak LLMs judging strong LLMs",
      "page_age": "852 days ago",
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    },
    {
      "url": "https://neurips.cc/virtual/2024/poster/95397",
      "type": "web_search_result",
      "title": "NeurIPS Poster On scalable oversight with weak LLMs judging strong LLMs",
      "page_age": "210 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2607.26212",
      "type": "web_search_result",
      "title": "Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges",
      "page_age": null,
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    },
    {
      "url": "https://arxiv.org/html/2407.04622v1",
      "type": "web_search_result",
      "title": "On scalable oversight with weak LLMs judging strong LLMs",
      "page_age": "859 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2504.03731",
      "type": "web_search_result",
      "title": "A Benchmark for Scalable Oversight Protocols",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2605.27483",
      "type": "web_search_result",
      "title": "Debate Helps Weak Judges Reward Stronger Models",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_012rXfTtY9Rdgafh1ZfAj787"
}

Calls web_search

{
  "query": "Toward Alignment Scaling Laws: A Framework and First Preregistered Measurements arXiv 2610.08540 oversight gap"
}

web_search_tool_result

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      "title": "[2610.08540] Toward Alignment Scaling Laws: A Framework and First Preregistered Measurements",
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      "title": "GitHub - jeremy1392/alignment-scaling-laws: Alignment scaling laws: a browser toy model and the paper sources · GitHub",
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      "title": "Revisiting the Superficial Alignment Hypothesis",
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      "title": "Scalable Oversight and AI Alignment",
      "page_age": "342 days ago",
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    },
    {
      "url": "https://www.researchgate.net/publication/400238786_Scaling_Laws_for_AI_Alignment_A_Theoretical_Framework_and_Empirical_Investigation",
      "type": "web_search_result",
      "title": "(PDF) Scaling Laws for AI Alignment: A Theoretical Framework and Empirical Investigation",
      "page_age": "289 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://deeplearn.org/arxiv/599097/scaling-laws-for-scalable-oversight",
      "type": "web_search_result",
      "title": "Scaling Laws For Scalable Oversight - Paper Detail",
      "page_age": "565 days ago",
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    },
    {
      "url": "https://www.researchgate.net/publication/391219711_Scaling_Laws_For_Scalable_Oversight",
      "type": "web_search_result",
      "title": "(PDF) Scaling Laws For Scalable Oversight",
      "page_age": "565 days ago",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_019aYoUBCtPXPedyA1JQxVMt"
}

Calls web_search

{
  "query": "Pressure-Testing Deception Probes in LLMs Scaling Robustness larger models more vulnerable stylistic shift 2605.27958"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_013nPWGq9LmQ3gNA56vXFdhg"
  },
  "content": [
    {
      "url": "https://arxiv.org/pdf/2605.27958",
      "type": "web_search_result",
      "title": "Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the",
      "page_age": null,
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    },
    {
      "url": "https://arxiv.org/html/2605.27958v1",
      "type": "web_search_result",
      "title": "Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations",
      "page_age": "168 days ago",
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    },
    {
      "url": "https://huggingface.co/papers/2605.27958",
      "type": "web_search_result",
      "title": "Paper page - Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations",
      "page_age": "161 days ago",
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    },
    {
      "url": "https://arxiv.org/abs/2605.27958",
      "type": "web_search_result",
      "title": "[2605.27958] Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations",
      "page_age": "168 days ago",
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    },
    {
      "url": "https://arxiv.org/pdf/2604.13386",
      "type": "web_search_result",
      "title": "Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling",
      "page_age": null,
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    },
    {
      "url": "https://github.com/techsachinkr/llm-deception-probe-stress-test",
      "type": "web_search_result",
      "title": "GitHub - techsachinkr/llm-deception-probe-stress-test · GitHub",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.swiftscholar.net/paper/6a20c076239a205ca2a39d18",
      "type": "web_search_result",
      "title": "Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://paperswithcode.co/paper/2605.27958",
      "type": "web_search_result",
      "title": "Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations (arXiv:2605.27958)",
      "page_age": "168 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://pith.science/paper/2605.27958",
      "type": "web_search_result",
      "title": "Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations · Pith",
      "page_age": "135 days ago",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01L7XFFLPTZhtudfo1cdAgV8"
}

Calls web_search

{
  "query": "peer prediction LLM evaluation Qiu Carroll Allen critique collusion adaptive deception limitation"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_013nPWGq9LmQ3gNA56vXFdhg"
  },
  "content": [
    {
      "url": "https://www.alphaxiv.org/abs/2601.20299",
      "type": "web_search_result",
      "title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction",
      "page_age": "287 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://lacuna.tiptreesystems.com/work/truthfulness-despite-weak-supervision-evaluating-and-training-llms-using-peer/wrk_f30268112f09293f15ee54fd2456ef5d",
      "type": "web_search_result",
      "title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction — Lacuna",
      "page_age": "60 days ago",
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      "url": "https://mlanthology.org/iclr/2026/qiu2026iclr-truthfulness/",
      "type": "web_search_result",
      "title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction",
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    {
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    },
    {
      "url": "https://paperswithcode.co/paper/2601.20299",
      "type": "web_search_result",
      "title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction (arXiv:2601.20299)",
      "page_age": "287 days ago",
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    {
      "url": "https://en.papernotes.org/ICLR2026/llm_evaluation/truthfulness_despite_weak_supervision_evaluating_and_training_llms_using_peer_pr/",
      "type": "web_search_result",
      "title": "[Paper Note] Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction",
      "page_age": "187 days ago",
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    {
      "url": "https://www.researchgate.net/publication/396517182_Scheming_Ability_in_LLM-to-LLM_Strategic_Interactions",
      "type": "web_search_result",
      "title": "(PDF) Scheming Ability in LLM-to-LLM Strategic Interactions",
      "page_age": "396 days ago",
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code_execution_tool_result

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    "return_code": 0,
    "encrypted_stdout": 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"
  },
  "tool_use_id": "srvtoolu_013nPWGq9LmQ3gNA56vXFdhg"
}

thinking

Calls add_argument

{
  "name": "The argument from measured scaling trends in particular methods",
  "stance": "for",
  "claim_id": "a0867a24-31b6-4ad6-9add-f140c4da7663",
  "description": "Experiments on peer-prediction evaluation, debate, and lie-detector-guided preference learning each report deception resistance improving as the overseen models grow stronger relative to the overseer."
}

Calls add_argument

{
  "name": "The argument from non-adaptive deceivers",
  "stance": "against",
  "claim_id": "a0867a24-31b6-4ad6-9add-f140c4da7663",
  "description": "The measured trends used deceivers that were prompted or fine-tuned to deceive but did not optimise against the oversight method, so they may not show resistance to a more capable deceiver that does."
}

Calls record_claim_instance

{
  "url": "https://arxiv.org/abs/2601.20299",
  "title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction",
  "stance": "affirms",
  "context": "Abstract of a paper proposing peer prediction for LLM evaluation and training. The gap is the ratio of participant model size to expert model size; resistance is measured by how well scores predict honesty labels for honest versus deceptively prompted participants.",
  "speaker": "Tianyi Alex Qiu, Micah Carroll, Cameron Allen",
  "claim_id": "a0867a24-31b6-4ad6-9add-f140c4da7663",
  "publication": "ICLR 2026 (arXiv:2601.20299)",
  "source_date": "2026-01-28",
  "verbatim_text": "we discover an inverse scaling property in peer prediction, where, surprisingly, resistance to deception is strengthened as the capability gap between the experts and participants widens"
}

Calls record_claim_instance

{
  "url": "https://arxiv.org/abs/2607.01567",
  "title": "Scaling Trends for Lie Detector Oversight in Preference Learning",
  "stance": "affirms",
  "context": "Discussion section of a study scaling lie-detector-guided preference learning (SOLiD). The trend is stated over the size of the overseen model, with a simulated fixed low-cost labeler and a linear probe on the model's own activations, not over a measured capability gap between model and overseer.",
  "speaker": "Oskar J. Hollinsworth, Ann-Kathrin Dombrowski, Sam Adam-Day, Adam Gleave, Chris Cundy",
  "claim_id": "a0867a24-31b6-4ad6-9add-f140c4da7663",
  "confidence": 0.6,
  "publication": "arXiv:2607.01567 (FAR.AI)",
  "source_date": "2026-07-02",
  "verbatim_text": "SOLiD exhibits favorable scaling: larger models yield stronger detectors and lower undetected deception at fixed TPR, across Llama (1B–405B) and Qwen (0.6B–32B)."
}

Calls add_related_claim

{
  "kind": "counterpart_position",
  "claim_id": "a0867a24-31b6-4ad6-9add-f140c4da7663",
  "reasoning": "One states the general trend that oversight success falls as the capability gap grows; the other states that particular methods run the other way. A reader of either needs the other to see that the decline is measured for some protocols and the improvement for others.",
  "other_claim_id": "2d5868e4-745c-474f-ac6f-cc9cbc25ea8c"
}

Calls set_claim_importance

{
  "claim_id": "a0867a24-31b6-4ad6-9add-f140c4da7663",
  "reasoning": "A supporting empirical premise inside the live debate over whether scalable oversight can keep pace with capability. The existential wording makes it easy to satisfy within tested regimes, and few dispute the reported measurements; what is argued is how far they extend. Notable, not major.",
  "importance": 0.35,
  "contestation": 0.35
}