Minerval

← run 18ecc23e

Run step

Step 6: tool results

2026-11-15 00:06:22 UTC · previous step · next step

get_claim_instances

Input
{
  "claim_id": "55b84cc2-c3ba-4168-ae4b-723dafc6b353"
}
{
  "claim_id": "55b84cc2-c3ba-4168-ae4b-723dafc6b353",
  "total": 1,
  "limit": 20,
  "offset": 0,
  "has_more": false,
  "instances": [
    {
      "id": "1a8337f4-70d8-47e5-bffe-2218a0e809a4",
      "source_id": "ece6f61a-093f-4e2c-ba9d-801d19e6370e",
      "verbatim_text": "A key uncertainty is whether these trends continue, as the remaining non-automated tasks increasingly require research judgment.",
      "context": "Also listed among main cruxes: 'whether AI develops research taste'.",
      "stance": "poses",
      "confidence": 0.65,
      "speaker": null,
      "publication": null,
      "source_date": null,
      "link": null,
      "source_title": "How Close Is Recursive Self-Improvement?",
      "source_type": "blog_post",
      "source_url": "https://forecastingresearch.substack.com/p/how-close-is-recursive-self-improvement",
      "source_published_date": null,
      "source_authors": [
        "Forecasting Research Institute"
      ],
      "source_publisher": null,
      "source_doi": null,
      "source_interest": null,
      "recorded_by": "extractor",
      "display_rank": null,
      "reading": null,
      "draws_on": [],
      "story": {
        "standing": "untraced",
        "basis": "none",
        "depth": 0,
        "diverges": false,
        "downstream_total": 0
      }
    }
  ]
}