Step 16: tool results

update_claim_instance

{
  "context": "Abstract and introduction of a systematic evaluation of seven frontier models on 36 long-horizon AI R&D tasks; the introduction adds that only three of 252 best-seed solutions qualified as novel under an LLM-judge review protocol.",
  "speaker": "Yiwei Li et al.",
  "claim_id": "3f5f6119-5e2a-456c-930e-ecba1fc88447",
  "reasoning": "Read the abstract and introduction; the passage states the claim almost verbatim, so confidence raised and speaker/date filled.",
  "confidence": 0.95,
  "instance_id": "c79ec5d5-2231-4d01-95e8-5eb9b49f1e64",
  "source_date": "2026-08-13"
}

{"success":true,"instance_id":"c79ec5d5-2231-4d01-95e8-5eb9b49f1e64","updated":["confidence","speaker","sourceDate","context"],"message":"Updated instance c79ec5d5-2231-4d01-95e8-5eb9b49f1e64 of claim 3f5f6119-5e2a-456c-930e-ecba1fc88447 (confidence=0.95, speaker=\"Yiwei Li et al.\", sourceDate=\"2026-08-13\", context=\"Abstract and introduction of a systematic evaluation of seven frontier models on 36 long-horizon AI R&D tasks; the introduction adds that only three of 252 best-seed solutions qualified as novel under an LLM-judge review protocol.\"); the correction and your reasoning are in the claim's audit trail. Its stance and confidence now feed your assessment as corrected."}

update_claim_instance

{
  "speaker": "David Owen (Epoch AI)",
  "claim_id": "3f5f6119-5e2a-456c-930e-ecba1fc88447",
  "reasoning": "The recorded passage was about lack of progress on metrics, not about novelty of solutions; replaced with the passage that states the claim's content directly.",
  "instance_id": "2434175c-ba28-40ab-ad1e-462a385ad6ae",
  "source_date": "2026-10-07",
  "verbatim_text": "Here, the most noteworthy discovery from an uncontaminated model was GPT-5.6 Sol’s use of a self-imitation loss in a GRPO setting to derive signal from all-pass groups. Given its similarity to pre-existing ideas and weak performance, this would struggle to clear the bar of Moderately Interesting. Although Fable 5.1 scored higher, it also relied on straightforward applications of existing techniques, and would also struggle to clear the bar."
}

{"success":true,"instance_id":"2434175c-ba28-40ab-ad1e-462a385ad6ae","updated":["verbatimText","segmentId","speaker","sourceDate"],"message":"Updated instance 2434175c-ba28-40ab-ad1e-462a385ad6ae of claim 3f5f6119-5e2a-456c-930e-ecba1fc88447 (verbatimText=\"Here, the most noteworthy discovery from an uncontaminated model was GPT-5.6 Sol’s use of a self-imitation loss in a GRPO setting to derive signal from all-pass groups. Given its similarity to pre-existing ideas and weak performance, this would struggle to clear the bar of Moderately Interesting. Although Fable 5.1 scored higher, it also relied on straightforward applications of existing techniques, and would also struggle to clear the bar.\", segmentId=null, speaker=\"David Owen (Epoch AI)\", sourceDate=\"2026-10-07\"); the correction and your reasoning are in the claim's audit trail. Its stance and confidence now feed your assessment as corrected."}