Minerval

← run 41b85d2a

Run step

Step 5: assistant

2026-11-11 20:23:32 UTC · previous step · next step

thinking

Calls code_execution

{
  "code": "import json\nqs = [\"Qiu Carroll Allen peer prediction LLM evaluation deception resistant ICLR 2026\",\n      \"Hollinsworth 2026 lie detector oversight undetected deception 1B 405B parameters scale\",\n      \"peer prediction inverse scaling deception resistance capability gap judge arXiv\",\n      \"lie detector scalable oversight larger models less undetected deception arXiv 2026 Hollinsworth\"]\nfor q in qs:\n    r = json.loads(await web_search({\"query\": q})) if False else await web_search({\"query\": q})\n    if isinstance(r,str): r=json.loads(r)\n    print(\"==\",q)\n    for x in r[:6]:\n        print(x.get('title'), '|', x.get('url'), '|', (x.get('content') or '')[:300].replace('\\n',' '))\n"
}

Calls web_search

{
  "query": "Qiu Carroll Allen peer prediction LLM evaluation deception resistant ICLR 2026"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01CwYm1vnvP67mz1bTnoxgEN"
  },
  "content": [
    {
      "url": "https://openreview.net/pdf/58f19dcd2f739eb3573b20a0bf8a70f7a08c30b8.pdf",
      "type": "web_search_result",
      "title": "Published as a conference paper at ICLR 2026",
      "page_age": null,
      "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": "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"
    },
    {
      "url": "https://iclr.cc/virtual/2026/day/4/23",
      "type": "web_search_result",
      "title": "ICLR 2026 Thursday 04/23",
      "page_age": null,
      "encrypted_content": "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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",
      "page_age": "60 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://mlanthology.org/authors/q/qiu-tianyi-alex/",
      "type": "web_search_result",
      "title": "Qiu, Tianyi Alex",
      "page_age": null,
      "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",
      "encrypted_content": "EuINCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDE+LYYz5dRYnfDiyzhoMxlWFP3zB0OZuJcScIjB6HZ8J3cnPVqf1RFni09OWXWRmiGfLnXfHxEjEJgkPXb5IQFkSD/D5PulMlILjJscq5QzK5m5Ea06/IGO/WzcaKGE6LdWmjgKgT7Kz5JsGM/PYLvlTxMoXiNC7XuT6NCDfnu3bdcak074ULBUL5wS29V86Ap4NkyeJQFHzlR2QwBzIZhal1Q4Ahp1U/jrBwca1mnuLx9xHzssYxSIk3UXh/1yXf4Lvguis9T108lqnn9ghrEBI2MNEkRn7S3wTeGpWCdnzLcoW9hFJVpLfEjfyedytAZn9JNj6Ws7tY/6mUWDyV+e0V/V9z1t0w5I0nE9YiKzL/UKqzY99RoLTgiqGp1X0paT0jcDtNA4t3LGMmt1LRQlfuudWeKczpSukqQKAiAxN1Y82EiweI6wsjK4hycNvmZi9MlAZLFUWqYli3IKvCEEXKBklM2gNE+7uOtY4hC8H8QU0IqJw9vik7WY3OKntfWzyObZNpQoZSq7MxIOMmHPO5mRD4BfiAuzO42Oy1mL+vccdKQoWCqQjvWXHEo5371tdeOiLI5J1L7l4tKtLcRT6xnjz5MI0sLNJ2RzDFHtUmAYejaOtdZFhghMWiJQISH27dXEFl/U7qIXDBtj5DJkIeaYEQW2q7oA6HcPobEQKx7VYlKkPo0yaX0i9GeFBQKjKDYHT9XPbX1nesnlQX2MGe5AKB7PweKsk2HxX63XepizFLC7Sr2G+QIPv2lFhy0SbFj5rw51blaXFT9xAdyl58R2rM7ezOPizWFlDbU0lQ8zd7PKXIvGtF2hFOXa/Ya0Cp/2br4eB+uploiIHhtqposiY+uB74yfxHerLKMeBwe5X3RiOb7JJumPGId2Oqxjlm08b2hDFwRi8fwoMpTia+QeuifCu/A4JSeyF6ICveVMUCUUE+nwVYELqtk9vN0as3flKLeTnD8kGQQILwsbuSpZnOlanYmPy57DCt0zzAOdN06waBOvaUaWzlJa72qhir41oc+i+E0UL+5TSlKunse0djjs7krSc9lSAjAo3Qwg1LTDPHoUcHGq9ZrGQKu4nFpjQQY7eeVFQihs1usCG7X/Dgj6wLjYkRU/NI7M15nmbHDMUzvHGMkOQTBUc0t0n0Aog7/E5G0A2EK7w9iyJ7hxmK6kr6xVUseY7Bzb/47so4/C16LFvtM4MsJYuU04MdtzhAJWf8VCQpMuXrAr03kRNDLDZl+wp51pOCDqEkmeWrv7QMllHQnTtLedmIfgxdABziWcnNP8wmuSL6yMtFxNRuEY9qEUO7JTkPlaHuiQGXX5oQfAAgIksVpMHkpclU2/S5j9OMXe5Sp2GR3LWHiAQ8tcU669ocM4WEUGLAuP3jKvuo2XVBVpMachiVyR0HrPF9JhVNyKnNEAiOYsFdzLoT0nyJncBsOtguxCe+gB6SazIyU/5oNqzwnlo3WngTGiad9Zf/IYZJ5tdAyEbs61AhZtJ7N20iP1/Aa745oKFT4taEHiNpB7BEr/cXX1cPGdtgcBmiwG/SZSr9KsihNNGRfGvJa28/FkDVMocdgNIGsvog2ngGD6uq+At82la1jjBUgRIQO9uTh5BnRLIgRZQg0nuvjDz3MTnAoByWTYT1l0ftuoDboH9ahynhYDRZL5lvIPmBBXvfbrxcGlYrUf4kVpJyIWtdVslyUi2LwhPcN8MNrW9tkkFS48QlKITMIqC3OLwv8oVnZCZ2RX+YxJ+mJCybDKtCQzfLwk8406SFEOmrlxLyfADkvfwrczCHujO3nONvrE9J8fM9RRpqbANywyEXev6v7npSV9KZy1CKYv0YczfmWWVPHJ072fTWLquwCWoXJV/KEFTBrG8MT2YvwQVfLuZpkR9RoqATtH7HG4Oc3mJezK7Q24jhCZCfvDuiDYdUCO9gs1OkcYk0odQzlyBbY8fSZk5jxePeqtaZXinDFv7FukO+pqX+X5b6ds30uQwdiVnkPkgiWOiYqI1d0gxBnM9eFdOxwX6iGCELOly7tj8K/AXlaIjQw9qi6Ceb81LGTrUfqoxOcsSRfQhFNtQLkzPLMIaUgdtO9Sbt6VMbjMkRqqDCcG9x6War43NVrKeqaGny+HTJ60IjTj9PbDVgUuG4VzgroplQclpsNvFQg6B+dVR87ebAmrT80rLr/fo0oBq/x/ldRhuOC1xvmLVgZYWZCC5868hgHyrT4T9Z87WiOF5EPpgC3bBb0Fc0eq+efGQEDukdodKpFq9RMcjHh3Oxka1cTacHVZQHhgD"
    },
    {
      "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",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2506.06991",
      "type": "web_search_result",
      "title": "Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth",
      "page_age": null,
      "encrypted_content": "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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",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_0199tr6Mo7V8axzXR8agL7K3"
}

Calls web_search

{
  "query": "Hollinsworth 2026 lie detector oversight undetected deception 1B 405B parameters scale"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01CwYm1vnvP67mz1bTnoxgEN"
  },
  "content": [
    {
      "url": "https://arxiv.org/abs/2607.01567",
      "type": "web_search_result",
      "title": "[2607.01567] Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "132 days ago",
      "encrypted_content": "EtUICioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDFvHyHItCSIiyF24phoMpDmVM1jJy/3UW8trIjDg9nxnN2t3aSmeRtHxpnSFKdxu9Qq5VhSKkcWB1f3tPQUkzejek4Fg32UPcnxDO3gq2Ac2ih727pVzhrPPl9hF75yVwytWqy+Usin70R5L7LMkQ+4k/uSPXXUPUC5JMYl2Hqj566hFqbMMqBWXbPc/e7xGnwTXxViyfGvCyQdW1L0YSeNAN0f6NQlu9x2cx8Cl//vlZZVGYnPwKFrpyrFEV60afoZM0pRj8SHaplGxJKPMYygHozbtJvPrzvqSdbTxL7OWyy+4LWClfvFj4PMkoA/Kt2lr4J1iIWHTuPIO25xxNXjHQdW40N+AwcqTl0NsvV4SIKV6X+yDCG64bpBJJFOecPgGZWCHzoQJkwDyehDn5zHOHIdyaeHqzwspiyYYwRP5k+p9EEw6L6Ab0AzH0xL4CAqceXN/nbCK7IOSJgvyeX0L0Aj3mt9VQPM+J/Ta7dmQDbz4jzRdQt2Duzo4egivEAmnNlfldfjiwk7zaMOXtlS0LNXrOurbXSPWFMvkDHtjL0Q39DmJ8rmoX2hnqYHablK1mdE1qLszcchVDeOgXcyGbvGwE3yHTW+hywix1H4IhqfcfL2gcD/f+nJ3sORGwuoJxbWKQaOXEX4NuC4BQzLptjfUeEDylDqro0VuVySK+nDDR3kBiR/QITcRPDFMAAUcdCuu6XICC7PYEuwOdAZ5EFkBXQIgvZiG3m7GqX3lNd927oKoE72AIkfx/YJiYUQgP+M0T5bLORB4n5taNCSRX2u/Ry0pOacRQWEGlQYauaLFtksj3K5o5/9kHd9QQjXH03lUC1Y6TMnood1Z6/1BKUQV4Q8fVhBTsfEfkG79s5o/EQ612VCF5A0BGrATMlzcSHJtBTC/dwku2cwgPV7A+R9CZdbCVLQhqjarBvBl4vZkBWW22LyVbX4KgXps4neb2zRyMMhMSAwRjLuh/Aov9l9KW9tShR8bJfaeJKc7uoou0kR5F6fV4hpWPYzHwzsl/8QaZI6zxuOKsSFbysvyFPMNVLf2IXyGoHFuu/zo1vYdBnYelALjHRvCKvxOKY+58cEXJrLzbxWQXC3ohY5TeJ4Ps+Y+d9nb10zrDFJRsOYjGeEizR8RNNkI2XVjUOQPOEdqSHXOAzC8GwtFi+XZq14l//uapAqsDnKcHs2KFdr+zLzIhnT4XopKXbnXsORO8MwCUMExUJ9CiCNHb5c052lOkRzsZ8ejU3T5ukIte0DkeTLN+u6yxPI0liDXaznF7ACsDH5XwQz7/OuySm/+D29IT9qPj+dyE4NBCg9oWUtE4QZAJjsJv7AmBIbEf8jGowujTz4p1OzJooTJQgYNWFeiIDdc8b54+5PR1dUgrHUJBb0WwCLwtCv3I3ivuWIzzeQRp1EYAw=="
    },
    {
      "url": "https://arxiv.org/html/2610.08540",
      "type": "web_search_result",
      "title": "Toward Alignment Scaling Laws:A Framework and First Preregistered Measurements",
      "page_age": null,
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    {
      "url": "https://docshare.wps.com/document/scaling-trends-for-lie-detector-oversight-in-preference-learning/81826/",
      "type": "web_search_result",
      "title": "Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "61 days ago",
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    },
    {
      "url": "https://www.far.ai/blog/scaling-solid",
      "type": "web_search_result",
      "title": "Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "105 days ago",
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    },
    {
      "url": "https://arxiv.org/html/2607.01567",
      "type": "web_search_result",
      "title": "Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "132 days ago",
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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",
      "encrypted_content": "Et0NCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDPAPfJI3d2UIyTGBWBoMm6+YSOnBdx8IEAq7IjBdkDYuOyLHXIEUAwMVSW6esQxpdA+lAKOkWK+j8Ee5C8Kwu/zv9ko0eTddfq09PgEq4AyGXCO6nrPssDnIXm795kIOuI0gKWwHifajtnZVKvxQrJqB7rlsBb4ezu11mwedorZieCXwFqLCKAAsH2kxdSfU9DBzVvnZ95x86HUuKXBqO4X4psrSMYdazQU/b0PIIDJPBgacOeM0U/582iaW7pu8g+4nxJZ1GaOO5qwDU7+dFqlLM99xv7XaHyPwZ4FKCbP8fOJBmGpjfZ6kz+COKBzDKW5Hxybkyonc5Nw/1kHC6kplPCRtBgnQky8I1TxTU2/VPVSCpjCrzpnahMTm1i2PjD8ofGuS5YJkoES88Vq07DErB2oOI9wWp551bcE7dqZ/Xs98J1OOxV2J8JcGiodA0ibB+NbaLvGk/waXdK2i7wJQUvX9XhKvu3b43DDKRy1BJLxsnkIHBXyvGlQnzrv0uwvl0dkaZL7lIEb4YJre1w3/zz1QDtEt6/beyRr3Ve4MKncCqK/u40TC1P1KEBEATftNDpCd3UYdgygpBZOvL1i/Ciwifc2dx2SBFHbcOg6QDuvKroJCwcpnSItSEoiGB6oWktK07b4fI1hWV5BviYu08oxdvNKsl3iNujnwL0Ie9vWJDZxbN0idNeJeZtQrK3kF73JOTrWKCNt8uwuGt7VVohKqoZ4WsbblpTmWrTCkIRJJvM5lR228KoZZIqejOoMJBN/ny5S3HbEVM7dm9a3Qvo+iSlRGZpkmf3/EPyaXpn6Z+1zMSUs5sOdM+gW5Ugx90qf2mzNGOjOPaMGkSd8MuEnrahg2p1FRP+iS7ECe8f+c9q0nw57HMc/gmE5g4T3aqQ/qbXLvtjzu3NJqVIKjT5PCZ30oXip2o6E4qpDAViEmMNLN0JWydc3hFuu/SjgcE7Em4Mg94i2pVzWn4ZuHH0BHt+CAtVnitKICBhTIgG/Aw1/Sn/Dg6CUQ0lEUIIAqt0LWpklI/Kxg45rDcGiOeob5V9n2oOXAEl3NKtcp7vbdsiq2JCm5CHSaXemMrGOldMcOcUPIkFXvlFUIH/fzYzJx8WQNvJnfOC7w8TTT5qkmpMPePugGo7Qy9bpL1YItoRZsPXjWx/tALO2I03HUshYkLmgHvRELrRAs19TnRutl3BKkrs/xAFAyUAVCFk6QwrbpW6IDSqewWgRRUFcdSVYzYNLIU4DRyNQr5EiPFK48D3H/vGvldfa8aFJDQHrRAKpwYsriwix2OZgayvJSM7D9TUwCuy3XboxNdqGWBC1zCe2lQ403ARHF93xeJTHRVKjjMuDHPjxD8L2Ln3hcwzR0qcoAqOHf7is1tzQMK5zwz/e7ckYD7Ecn+FSSUUCYOVfkEnFSZoy6OcZcbp3CKXwDVtU/cUwenETLReowODW4LNXqj2nNku532e+GvXiNxGy/n4EG6KPqQrc7hXMbEu1B+UQ6VKTSv/wu7nARNCB7tq3ZpNZZ4LEWSrIhjMRZSnwQnw0t4NRy7YphwKXg0ArpQnZOscTAVXZfqSnCis9EwwqegNuteN9G1rm00DixVyQaT+vOKnJmKdLJ3FRaVyLmT7ZrUcQ6RxhZSQdtQZH8ARzdrrYGFn9aZAkDYoUGBRmXOBrsHyoLfcvXtHh/GYhztD2ckGH4qdSYrL4RRTEU/5JNYV8V0KR6XyXBHj0Zt8mlxnA3BOCSzLDxPj39GlvkJNtvAIVniyH2mVdoWQOX1+WRF3CIOjLmAjvXiSyFXLDurIuhsX2Xslzja9l250SvJKmyVO+SJqsrC3Tu3QBWmPuu3DoGQvXRfxEZ70OVqA2JT8pFr4bV1p2/UQTEe9o2IbpbpJU3St8kNseZ7gtwoxQ8PmhjwimxTJi4FjT7ASnsEG1to+8BAs7fpdQKfmS8NufyLT8hvnU1Fj1CdeoF+l2zLTAR0HJkUUErYEgvc6lmA56U4vWjorVp8GY/XDgJ/YniWpIhKHDmbdTKhXrnAPuOHE9nx+MeIJg5p9d0voQYW9P6Et4aLHeeIonoE80oaYxrzdrter0pclSV62JU8Lmal9gQswvGsCr0bFKrc/v4n5lS0yzH/vJM4rOBDwqGbbnwaAKTAOkFdVl0MF2uAti2UoJZ5WFsKm/sruQChHEbtlW/cYk9yngMzRGx6SkF9RSGqALFmCJttgSAPBotkoJhyTohkrUxA+x8RfVQApWny/hC8lW6pysxePc4wC3iiUvSpEMxmXtP1LAYAw=="
    },
    {
      "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",
      "encrypted_content": "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"
    },
    {
      "url": "https://therevision.co/articles/ai-lie-detectors-work-better-on-bigger-models-study-finds",
      "type": "web_search_result",
      "title": "AI Lie Detectors Work Better on Bigger Models, Study Finds — The Revision",
      "page_age": "131 days ago",
      "encrypted_content": "EoAGCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDP/rsOICmwsr1QvMoRoMwkbeKACC5iT/XRwCIjBdHdBUtGcLGmhrrtCrWYh/J0r/b7nEwrvO6LcZcV028uKk8R7GXlUlA50keM8s1VMqgwX5OWX71ETNTvwzP2T1N+IlDHKqVDhamBNMdsXkshtyZC7VdF/DzfKLycvw6nMgSibtIW47JN1hkFXfJ+rS93+mxv0koDu6RDnuAYb0HS5Ld/3Kkfbt9FP7iI5x8jD36jGyH/QUbf8WoiJILxzyXZ56MUH/JWxM8+tdNXwy0TfZFCot8rzdfg9sZFIai3DhHr09YDKE4noQvpmfOxEotDycHOJVENqBInFNPi9/Qzo2e6P2XTuQ3ivM3TmpnIJo1hYefl+KlS/2ClYHtznILMRULHOqk5uRCixfQYjvSWMuFGA5FXOL7m3fbDVxbDXC3aZWaI4WcWKWM3MIbwm7LSxrPXVIF6Y122Wp+Q8oSLneeEqbaSp03JPQJMxBwfUkAKGGFnb5P4tYFVGtbaEAUgPw8RreaXz/inQLX7uoZHki5BtIwdd+OCDfGzwuuUlT2tDWizQe6ljj70GmoUj60WY8nSkDpSvwHKcm+ZyFg7mP89fiUlGnGvMdYpXPRuOPwhOKw8PgC0iK4o6aEiQ3oDJEosMfdoDNi/Csg5E5AbpyUNrdKrZxUUWsgKBCo40/xnpLODfMJ8qTYRg0kcw1Tj3gs7mi2jEdjJQCEYCl/Fyc4bIqihAjHSCFVgbR5LaE/7hQFXBbbEZgBQ6IEItkNI2c2OgMeJlQb+MIb5RC1jBShhvUfJ7D/6+YOvuk2y3/6cSNYU+owFEcVZX0em93U6dbw4gcpesK27kaCOMPx530ViOq+vFdKvboIqVdZuvn+UERWHXnVXv4V6pdmRyABiwUtwQsLJ3/N+IRebghQaTE6v+q75MxdrR7YssABl1T8YO9NFSxCF5P3GEEhvdVc3H339h+GAM="
    },
    {
      "url": "https://arxiv.org/pdf/2610.12445",
      "type": "web_search_result",
      "title": "Telling FIBS: Probes Effectively Detect",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01VFswyGSyD4z3wWCZTvHcy1"
}

Calls web_search

{
  "query": "peer prediction inverse scaling deception resistance capability gap judge arXiv"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01CwYm1vnvP67mz1bTnoxgEN"
  },
  "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://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",
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    },
    {
      "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",
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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",
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    {
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    {
      "url": "https://arxiv.org/html/2605.27958",
      "type": "web_search_result",
      "title": "Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations",
      "page_age": "168 days ago",
      "encrypted_content": "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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",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2306.04305",
      "type": "web_search_result",
      "title": "Self-Resolving Prediction Markets for Unverifiable Outcomes",
      "page_age": null,
      "encrypted_content": "ErQNCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDNW9h9OpTbd5u4P+WBoM8HR0vBDCH5rcus5rIjAamXu8QEnRWwtD5l32MvkwVA4qCra8fVWyCqZmY49dQxbySCPnXN+hhaXr0qIFXlYqtwxSDpFsTEn0bdj7qLAquQLmfeOwX5TpSE2bpRnW4Gft7yQ3Snd7n56m4cKz63T3uLqzASEmSHpJnYnACSEvq9AJbQRO1dejn6FmhTfqccPrf5OxhN5Js7HuatFKaGMl1zxeqbpqKeSZfXPDRwhSOo3lhk7mV/578n7G/JLMwgQj7wgNHaaBHAK+ognQhHgUdUMU+ETJH2Rrg6W+wFh1qAK+2UjA1elFIa7RwwsK6IW4K9MVcn5V6HEfQksFEkpJcdAQHLMADEnkIIsTbarVroJYC+ly8e7PvzojYHDKgsVWQuhTlbbtj7euXCnMC+yobfeyAil+xad8q3IGYSTBYseg6yQ1azV3vKJjDDsmy1i593S7dcI9xHCVxaMYqPlMQRmBA4siParsDEjIE8yrfV8bn4czMcyQxdxz++3fjvXL7p5hIAgs3pwW4S35Vt6k5+ub/8D2zfe5hCBRYVCROgJZPBTR2yF+984sFWt2GhjZ2SljcBF8Gk3TKrwTsN7Pk9RVMvWNww4Bh5VyVAve7F2CPH72DbRG2+CCNuvOWBWJG6HB/r/ud75+R0d7FJJslUhqDRDslke0Hzkbp4/rhtR35A5RdK6tN5icwvKbnbo3Ar/xzogJfkWp0NJF14qad0D8LKUMCUackZxe0tlmGgGN+POuxiQSck6+4hHETJU/QWqYX6To1DnutJ0glHfw8I2wxI9ih9NaRGKLIKK4QUJLxIFzRciAp7EuIV1gj59pitMIvsZEaWrBHmWCO3HuX0LAL5yi3qVpNffzLIAJqs52mmUXFRSGcv1b9f9QbW11s1wnKMKiGkkAu/9TyNeKCim8x6cALDVuy15ZxrlTjYZPWj3xr6nhjTFDLngzem7NayN7y689ym/WNgJ5HcAFXQCRJ3C6zvOyYQL473eBYe51/6jMVCuflW724PL1sGjmk5WAYJoHWNUV0UxrOah/CYjbh9JeTxe5uqdyj4bwIxRc3DHnAKkA5UoITm1441A4kV3ynOSp1w9oOA744igNqvYvSpwvpMq940qdxcButiw3ai8A+Xt0QXlXfeBhNDsbT5S+wFbuBXRwKYiupdcQ0zDXYPD48SZhmx0nBQyzY7Kh0bdHkRGKN12j7gFpNrifbgxA0VqFpc6LiCpl9QYElLcU8pgJIDBmdjQp8FGaSkcKglkdmczhrWO68c87wimaJp27TU+rCUPW2O92j/gCa+LriHtKl77G4vsnf53iLU4pUi+Ed1zFg9O0aWv6GXifMNDHTAk9sdYA/nAjCpOMfB0TIgu4xNu+CS7EUjfa+ivUoU6jS0rtNrhOtkcQ2xeK+HqoV8m9WdodWulO90T/qk4UBQInkCZQixUUxpBhgE6mgj60uwP1w3HyJYkEvj7Z3TOSMJ5Zaixym2DC8HQfbRuheUto25B6gMhdw4uZDKUdo16i1eHE1KK70C4R+flLOJTMFcyC4ELGFmVTvsI0SCPqfcG4NNY7+TMTMdHyyJLArV/umL1lGKDDKDfNxcRDVUL/IMtq5CLzhoce+L+yw4AlknWJvfJoXqgC4YF3OJtlpM+Doe8ThpxBwu1t8x0GhiqYRot24vl845Hyb8nf4lZVeXLb0PzD9fxZ/oGPG49jSIYKLEpLBOTRfUcsFX4OZ8yLInVNX563hsOXhLVGr7Gtu3U0PFeP7tuuiwfBcq96OvtkRaspQNI/oImq3kBNgD3WtWfQidO4012zAYEuIh0szkbS4FBfDXvfY0aB+Oi1J27sfaF1mmXNpVsgdPvjF4S8KtIeniLIts2KY4VnRvrTOldTDkh5jhfv2wR5Ivc9n7h2Jnb5LXBpseoTd9Wng7k7zj+G6TgYlZ+fc+z8G3XF/xxB67CktV93vr9h728A44wwOhAbAhWKm3/9FZ3vvLOs2SEqwbaSF6ILUKyU/JZd70PLB9d9JwmUuZ+Y3iwWIoG2DqWTPZCm0bTFXaxq0FnslN5XeV6wjRx9/iulxSIf2MMpIiPrdbF7DpGSj2bz1MX3AGmo8jDCOHrTrye2d55PVAPkoioViYedFt37dyXE5QiLXwvGkEWo4R9BuqyySbHjQieA/UpMIrZdJmTGynGFTV5xCmbBkHWjdHltJ7/dFcOr7JQVGAM="
    },
    {
      "url": "https://arxiv.org/pdf/2503.07558",
      "type": "web_search_result",
      "title": "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01XKFhC95GeowVxajcEusWe1"
}

Calls web_search

{
  "query": "lie detector scalable oversight larger models less undetected deception arXiv 2026 Hollinsworth"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01CwYm1vnvP67mz1bTnoxgEN"
  },
  "content": [
    {
      "url": "https://arxiv.org/abs/2607.01567",
      "type": "web_search_result",
      "title": "[2607.01567] Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "132 days ago",
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    },
    {
      "url": "https://arxiv.org/html/2607.01567v1",
      "type": "web_search_result",
      "title": "Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "132 days ago",
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    {
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      "type": "web_search_result",
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    {
      "url": "https://docshare.wps.com/document/scaling-trends-for-lie-detector-oversight-in-preference-learning/81826/",
      "type": "web_search_result",
      "title": "Scaling Trends for Lie Detector Oversight in Preference Learning",
      "page_age": "61 days ago",
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    },
    {
      "url": "https://arxiv.org/html/2602.15515v2",
      "type": "web_search_result",
      "title": "The Obfuscation Atlas:Mapping Where Honesty Emerges in RLVR with Deception Probes",
      "page_age": "169 days ago",
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    },
    {
      "url": "https://arxiv.org/pdf/2610.12445",
      "type": "web_search_result",
      "title": "Telling FIBS: Probes Effectively Detect",
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    },
    {
      "url": "https://arxiv.org/pdf/2606.30649",
      "type": "web_search_result",
      "title": "Thinking Out Loud: Real-Time Deception Monitoring in Asymmetric LLM Negotiations",
      "page_age": null,
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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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    }
  ],
  "tool_use_id": "srvtoolu_01FdrU14Rfkknk1U65tPF7HG"
}

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_01CwYm1vnvP67mz1bTnoxgEN"
}

thinking

Calls read_page

{
  "url": "https://arxiv.org/html/2601.20299",
  "max_chars": 14000
}

Calls read_page

{
  "url": "https://arxiv.org/html/2607.01567v1",
  "max_chars": 20000
}