Step 2: tool results

get_claim

{
  "include": [
    "arguments",
    "subclaims",
    "dependents"
  ],
  "claim_id": "035fd231-0c50-4498-835c-247c8f1eac56"
}

{"claim":{"id":"035fd231-0c50-4498-835c-247c8f1eac56","kind":"claim","canonical_form":"Anthropic's public August 2026 Risk Report understates the acceleration of AI research and development at Anthropic.","claim_type":"evaluative","state":"active","decomposition_status":"complete","importance":0.5,"contestation":0.5,"domains":[],"tags":[{"slug":"anthropic","name":"Anthropic"},{"slug":"ai-research-automation","name":"AI Research Automation"},{"slug":"ai-safety","name":"AI Safety"}],"steward_state":"running","stewarded_at":"2026-11-14T02:36:01.230Z","canonical_direction_note":"The source asserts that the report understates the acceleration, so the affirmative proposition states that discrepancy directly.","created_at":"2026-11-13T22:28:02.360Z","updated_at":"2026-11-14T02:35:15.811Z","page_url":"https://minerval.ai/claims/035fd231-0c50-4498-835c-247c8f1eac56"},"assessment":null,"coverage":{"examined":false,"on":[],"note":"No judgment of this node is in force. That is not a finding either way."},"quantity":null,"threshold_of":null,"question":null,"formalization":null,"formalization_pending":null,"formalization_history":[],"verification":null,"lean_checks":[],"lean_checks_total":0,"waiting_messages":[{"trigger":"structure_and_assess","from":"the system","sender_node_id":null,"sent_at":"2026-11-13T22:28:04.844Z","paid":false,"summary":"New claim onboarded. Give it the structure and assessment its importance warrants; a minor or settled claim may need no decomposition."},{"trigger":"mandate_plan","from":"a mandate's plan","sender_node_id":null,"sent_at":"2026-11-14T02:35:15.900Z","paid":true,"summary":"A funded mandate scheduled a assess pass on this claim."}],"requests":[],"requests_total":0,"subclaim_count":0,"instance_count":1,"source_map":null,"arguments":[],"unplaced_argument_passages":[{"instance_id":"2f345cb7-7148-4cbf-ace7-096428af3317","source":{"id":"0dea0a35-a2dc-4d27-a7fa-9d4431940f49","url":"https://metr.org/blog/2026-11-05-rd-section-anthropic-risk-report-august-2026-review/","title":"Review of the \"Risks from automated R&D\" section in Anthropic's Risk Report (August 2026)"},"verbatim_text":"The public risk report states that Model 2’s score has large error bars, but does not state the qualification in the private risk report that Anthropic expects higher scores from later snapshots of the same base model. In fact, further snapshots of Model 2 did improve on AECI by about the same amount as Mythos 5 did over Mythos Preview.","context":null,"stance":"advances","direction":"for"},{"instance_id":"a6a06f93-78a0-46c0-a03f-02e317680668","source":{"id":"0dea0a35-a2dc-4d27-a7fa-9d4431940f49","url":"https://metr.org/blog/2026-11-05-rd-section-anthropic-risk-report-august-2026-review/","title":"Review of the \"Risks from automated R&D\" section in Anthropic's Risk Report (August 2026)"},"verbatim_text":"We believe a reader of the public report would interpret the phrase “less than a factor of 2” to imply an estimate meaningfully below 2; thus it is surprising that the private risk report’s figures imply 1.97.","context":null,"stance":"advances","direction":"for"}],"unplaced_argument_passages_total":2,"subclaims":[],"subclaims_assessed":0,"dependents":[],"dependents_total":0}