Run step
Step 7: assistant
thinking
Calls code_execution
{
"code": "import json,re\nasync def get(q, urlsub):\n r = await web_search({\"query\": q})\n if isinstance(r,str): r=json.loads(r)\n out=[]\n for x in r:\n if urlsub in (x.get('url') or ''):\n out.append(x)\n return out\nA = await get(\"Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction arxiv 2601.20299 inverse scaling resistance metric\", \"2601.20299\")\nB = await get(\"Scaling Trends for Lie Detector Oversight in Preference Learning arxiv 2607.01567 limitations\", \"2607.01567\")\nfor x in A+B: print(x['url'], len(x.get('content') or ''))\n"
}Calls web_search
{
"query": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction arxiv 2601.20299 inverse scaling resistance metric"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_014DHrMsKqXmwhkoC4cwrzNC"
},
"content": [
{
"url": "https://arxiv.org/html/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://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://arxiv.org/abs/2601.20299",
"type": "web_search_result",
"title": "[2601.20299] Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction",
"page_age": "287 days ago",
"encrypted_content": "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"
},
{
"url": "https://liner.com/review/truthfulness-despite-weak-supervision-evaluating-and-training-llms-using-peer",
"type": "web_search_result",
"title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction [Quick Review]",
"page_age": "202 days ago",
"encrypted_content": "EpQNCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDDuzvS2ETLl276+uyhoMQRUGa63eH3lkiwtwIjA7wDGDB5UGLAht4Qc79DdiRWWN6uX/tTXKwBfivtCq8B0Eu466SDAQ0zYOdk0JFUQqlwyqwCCs19iySbkf6HjakQY12DrqKZfRcYTCxALCliXkjlHlJYqhH5aoLaSRBOLBgUS7k+o85A1a+e08l4tAuMIc6XwzvpCrFVY8wwLKbkCWBT8geSCfYSMOT9jYO05ez8PMh9UaK/vsUvrgiVUwuxXWMYZ9whj649u3Ty+HpUyAXAw92eondV28oiBwGVJ5tiB27GDfA1+rPR/4+XocK5Wh3jJhB+a9m5BYyI5lkIQnlWxM2czAodS4CH4nsuJBpkC6nLDXEWuVvYep+WRYVMDDVor1FCv06JulSwJemi3jUHCQbIVInZJVhHE96K+D1yikPT87JkKNshkOc3GuC/QPgn/27skmjq9OVrIeREbInPyHm7gXTRc5NGFpEfRafkzJozCoS2Mvse0TEhwxtdMj/oBLeG7hyZYvn3gHAjrjHS7RalgKv/kFp4Ds8f5eFYoD6jwyrpr7qxqsKFNgUFFj0nG6mL9u0UYL4w2FiZN6Yj1w8wyC4QgpLpwafeFYl61IrQ9QPCqP6ZJXA8Ka12PmEptzkiQ+5GaX8ilpYzFKGG/W8X8Bj8hK/OpGcepGLLqk24+9huodQFB8tVdO2svIOZrdXl2m7buq7q2mLtD/wxyQIkk3VXJWn+MqABXFI8LqefxoNtmF89ElGLRApLJ/QNk0muY8n2PyKtDBC+Au7k4+1ihDXVDvl3/lCqGpLo5gUeMH6VOgtyFJ0cbkqIRZTtbwyBwMKYQvnaWVTwdgdtv6FXnU0pNlvzElWlzdlHmoioY+VLt5V6s4fk596IXucItD1J/7Lg+w3errRe3JE1nyFTtqVYi0fscy62JjBuR0wQIlTE0OJYKzKXpje+oU/yUkVQH891YwHxYL3xPPRcCvtVtPtCs7dpjSDvWy0Q732UDiEM7sch5QfOr4XfKtgLVXDnKqcmwN/ndrDDJxX2Z98dJxAzEt1U3cuSBG2qDtREvnX1c1xOMKDwuNR1svkDEfU87k6tiIdN1cW26i2VX7ijFiv+fdu7CB1ntNwCFcbR7QLv/j8f/YhaxIH4LIM5cRufKXsLwuDeUQJuGUvMfYMcGolEJxnncFm6s4fCQvkuG5r8/eMKZ3ZI6u8DIis405lpKjv7G17BPHMRtbs8/G/msyLRVMLg2CEjRM9rQ9EJDe0X3yYiKI+hcFsNdgiXfyZwD3HFAJrYrtgybdv7PwkANr2mQczfpTX3WYyIjLtlACopA8ZhOplDaGdjtYt5xG1U58Xvq4LPDYd1oRFvcTC4Bt2MffWyDqj0sThnxK8RG3BwEJyqE1uzoylPUkzTdHRzE4k5djAzhYEFSBjteK+X56HpaGtxLDDUiJ8gRbHSwfMeNJ0uMa0+snpgI3edQ+6dkKSAKvDUbv/fGYnAhlvDlvHO2y2M8ZBdWQjqS4Wo3I0uhu5OxFeknATM8VSsrzRGGrioZMZ2Og2XGWpR3xlOCboyTI3W+NUENiHc7Gx5kHwCSJF4q9ZuCUyDkcZnKkLObJmZQEu5xyiUjuTTdwpaVBBOCg37P9ftrZpWnv4Jb2OnL8F24+47Zb2pwoJik2na6NHj2gu5xPl2sNffAFcsXS3CM+lERtJSzGr5NK3Encq0Zf8xk0H/E9hEZP/UPAeEiXy1hx+cXlfG1HmQMkN22ybuahBGPGSnxuwHV/FrL8TD+C7sx25HUgeOQP3FMGixLRU3Nc2erHgP+UeGTEgX4ckUthQuqmAmrvuEcVn3JbE9bel+b/YBZz8ch5P8mC6TxMv6SUhmRkdf5Mz4r9GlLG99omfD2b4nTLms1L5JMncmYiJ8hsKy8lIAbCRBxPepDJaJZZaClOLK6hYAr41o+EJY+lVZpoDekBkQ5C8dVNyat2LE9Byc5unFgNAY67vBaFKYremoVKKBVi23jgVo4oe9rQdzehhJUZZYOLyyl2RJx/5bnv2FpG5joPyxR4tfQQDY4OjopuF1jmhf2o+nypFWnwZaTJ8PAztbo74R53bWYKQbvZj7yiaVP3dnn72U9IAkDdzHjbqg1VL20wLsST1GAkBipP0TVZlq8645UQaI2qwC/3Xlo/pw6JgyCSpI/ZmRgD"
},
{
"url": "https://bytez.com/docs/arxiv/2601.20299/paper",
"type": "web_search_result",
"title": "Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction",
"page_age": null,
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{
"url": "https://arxiv.org/pdf/2608.25267",
"type": "web_search_result",
"title": "Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach",
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"url": "https://lacuna.tiptreesystems.com/work/truthfulness-despite-weak-supervision-evaluating-and-training-llms-using-peer/wrk_f30268112f09293f15ee54fd2456ef5d",
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"url": "https://en.papernotes.org/ICLR2026/llm_evaluation/truthfulness_despite_weak_supervision_evaluating_and_training_llms_using_peer_pr/",
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{
"url": "https://arxiv.org/pdf/2505.13787",
"type": "web_search_result",
"title": "Preference Learning with Lie Detectors can Induce Honesty or Evasion",
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{
"url": "https://lacuna.tiptreesystems.com/work/scaling-trends-for-lie-detector-oversight-in-preference-learning/wrk_88dd85995520518c7a3fbd263397d8fa",
"type": "web_search_result",
"title": "Scaling Trends for Lie Detector Oversight in Preference Learning — Lacuna",
"page_age": "61 days ago",
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},
{
"url": "https://www.researchgate.net/publication/391910696_Preference_Learning_with_Lie_Detectors_can_Induce_Honesty_or_Evasion",
"type": "web_search_result",
"title": "(PDF) Preference Learning with Lie Detectors can Induce Honesty or Evasion",
"page_age": "541 days ago",
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},
{
"url": "https://pith.science/paper/2607.01567",
"type": "web_search_result",
"title": "Scaling Trends for Lie Detector Oversight in Preference Learning · Pith Review",
"page_age": "131 days ago",
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