Step 4: tool results

get_claim_instances

{
  "claim_id": "e6e8a4fa-eee4-4fc3-b564-ea04a6313546"
}

{
  "claim_id": "e6e8a4fa-eee4-4fc3-b564-ea04a6313546",
  "total": 1,
  "limit": 20,
  "offset": 0,
  "has_more": false,
  "instances": [
    {
      "id": "3ce2a76c-32b5-4f6a-9581-16bf094f79e2",
      "source_id": "68dfaad8-7ec0-419b-b8a1-091b9568277d",
      "verbatim_text": "We include this scenario for completeness, but we don’t believe it’s likely. Every capability we can measure, including those that feel “squishier,” like quality of code and success on open-ended tasks, has so far followed the same curve. We have not yet seen that curve bend.",
      "context": "Scenario: the trend stalls (S-curve, compute/energy constraints, or need for new architecture).",
      "stance": "denies",
      "confidence": 0.75,
      "speaker": null,
      "publication": null,
      "source_date": null,
      "link": null,
      "source_title": "When AI builds itself",
      "source_type": "report",
      "source_url": "https://www.anthropic.com/institute/recursive-self-improvement",
      "source_published_date": null,
      "source_authors": [],
      "source_publisher": null,
      "source_doi": null,
      "source_interest": {
        "party": "Anthropic",
        "stake": "Anthropic develops and sells the Claude models the report describes, and the report is published by its own institute. It gains commercially and reputationally from its models being seen as highly capable, and its account of their limits shapes how regulators and the public judge the pace of AI development.",
        "claim_id": null,
        "recorded_at": "2026-11-13T21:36:33.847Z"
      },
      "recorded_by": "extractor",
      "display_rank": null,
      "reading": null,
      "draws_on": [],
      "story": {
        "standing": "untraced",
        "basis": "none",
        "depth": 0,
        "diverges": false,
        "downstream_total": 0
      }
    }
  ]
}