Run step
Step 4: tool results
get_claim_instances
Input
{
"claim_id": "f5262f38-3029-47e3-9e55-e7f796eae1e4"
}{
"claim_id": "f5262f38-3029-47e3-9e55-e7f796eae1e4",
"total": 1,
"limit": 20,
"offset": 0,
"has_more": false,
"instances": [
{
"id": "2e63993a-9a8c-4c1c-852e-2484dc0af7e6",
"source_id": "68dfaad8-7ec0-419b-b8a1-091b9568277d",
"verbatim_text": "In this part of the research workflow—optimizing steps within a clearly defined experiment—Claude has gone from super helpful to superhuman in under a year.",
"context": "Based on Anthropic's small-model training-code speedup test run at every model release.",
"stance": "affirms",
"confidence": 0.8,
"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
}
}
]
}