Step 4: tool results

get_claim_instances

{
  "claim_id": "c8f360ce-76e9-4a95-aa02-e32c4421e4e6"
}

{
  "claim_id": "c8f360ce-76e9-4a95-aa02-e32c4421e4e6",
  "total": 1,
  "limit": 20,
  "offset": 0,
  "has_more": false,
  "instances": [
    {
      "id": "36296978-6014-43eb-95c8-64bc810f845e",
      "source_id": "f146b243-4913-405e-aaf8-18d4769481df",
      "verbatim_text": "However, researchers described significant “signs of life” implying such contributions could occur soon, although with substantial variation in maturity depending on the area.",
      "context": "Fully autonomous AI contributions to the most important parts of model training",
      "stance": "affirms",
      "confidence": 0.6,
      "speaker": null,
      "publication": null,
      "source_date": null,
      "link": null,
      "source_title": "Independent Assessment of AI R&D Acceleration at Anthropic in October 2026",
      "source_type": "report",
      "source_url": "https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/",
      "source_published_date": "2026-11-05",
      "source_authors": [],
      "source_publisher": "METR Blog",
      "source_doi": null,
      "source_interest": {
        "party": "Anthropic",
        "stake": "The assessment concerns Anthropic's own research process, and Anthropic held rights to redact non-public information; per the report, it redacted a majority of the evidence METR found most informative.",
        "claim_id": null,
        "recorded_at": "2026-11-14T02:23:04.711Z"
      },
      "recorded_by": "extractor",
      "display_rank": null,
      "reading": null,
      "draws_on": [],
      "story": {
        "standing": "untraced",
        "basis": "none",
        "depth": 0,
        "diverges": false,
        "downstream_total": 0
      }
    }
  ]
}