Step 8: tool results

get_claim_instances

{
  "claim_id": "0655bddb-4381-4431-bc7e-c04ae510a5d6"
}

{
  "claim_id": "0655bddb-4381-4431-bc7e-c04ae510a5d6",
  "total": 2,
  "limit": 20,
  "offset": 0,
  "has_more": false,
  "instances": [
    {
      "id": "8af0a6f0-7f38-40e0-8c41-fcf847e72d0b",
      "source_id": "f146b243-4913-405e-aaf8-18d4769481df",
      "verbatim_text": "Prior Anthropic system cards have posited the hypothesis that there was a one-time jump in capabilities at Mythos Preview after which there was a return to the previous trend. Recent models make this hypothesis look less likely than a permanent trend change.",
      "context": "Slope-change fit has lower held-out error (RMSE 1.9 vs 3.9) and wins 81% of bootstrap draws",
      "stance": "affirms",
      "confidence": 0.8,
      "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
      }
    },
    {
      "id": "d2c01eec-d02f-4480-bfff-3a72b023c9e2",
      "source_id": "0dea0a35-a2dc-4d27-a7fa-9d4431940f49",
      "verbatim_text": "Given current AECI data, we cannot confidently distinguish between a one-time jump in capabilities and a continued acceleration. However, given the acceleration in the leading indicators mentioned above, a sustained acceleration seems more parsimonious.",
      "context": "AECI is Anthropic's aggregate capability index; METR says evidence since October 2025 points to continued acceleration.",
      "stance": "affirms",
      "confidence": 0.75,
      "speaker": null,
      "publication": null,
      "source_date": null,
      "link": null,
      "source_title": "Review of the \"Risks from automated R&D\" section in Anthropic's Risk Report (August 2026)",
      "source_type": "report",
      "source_url": "https://metr.org/blog/2026-11-05-rd-section-anthropic-risk-report-august-2026-review/",
      "source_published_date": "2026-11-05",
      "source_authors": [],
      "source_publisher": "METR Blog",
      "source_doi": null,
      "source_interest": null,
      "recorded_by": "extractor",
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      "draws_on": [],
      "story": {
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        "downstream_total": 0
      }
    }
  ]
}