Minerval

← run 825aa76d

Run step

Step 2: tool results

2026-11-11 19:01:57 UTC · previous step · next step

get_claim

Input
{
  "include": [
    "arguments",
    "subclaims",
    "related",
    "findings",
    "dependents"
  ],
  "claim_id": "54994356-47c8-4a8f-8761-c9ce277a8456"
}
{"claim":{"id":"54994356-47c8-4a8f-8761-c9ce277a8456","kind":"claim","canonical_form":"Better scaffolding and chain-of-thought access let weaker AI models reliably monitor stronger AI agents.","claim_type":"empirical_derived","state":"active","decomposition_status":"complete","importance":0.4,"contestation":0.5,"domains":[],"tags":[{"slug":"scalable-oversight","name":"Scalable Oversight"},{"slug":"chain-of-thought-monitorability","name":"Chain-of-Thought Monitorability"}],"steward_state":"running","stewarded_at":"2026-11-11T19:01:54.964Z","canonical_direction_note":null,"created_at":"2026-11-11T19:00:20.056Z","updated_at":"2026-11-11T19:01:52.713Z","page_url":"https://minerval.ai/claims/54994356-47c8-4a8f-8761-c9ce277a8456"},"assessment":null,"preliminary_seed":{"credence":0.35,"note":"Kale et al. (2025) report that a hybrid hierarchical-sequential scaffold lets weaker models monitor stronger agents, and several studies find that monitors with access to an agent's reasoning outperform monitors that see only its actions. Those results show that design can recover much of what a capability gap costs. The word \"reliably\" asks for more. The same paper finds that an agent aware of the monitor substantially degrades it, adaptive attacks have subverted trusted monitors, and chain-of-thought access helps only while the reasoning stays legible, which reports on newer models put in doubt. The prior reflects real gains from design that fall short of reliability against adaptive, stronger agents.","seeded_by_claim_id":"2d5868e4-745c-474f-ac6f-cc9cbc25ea8c"},"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":"2026-11-11T19:00:20.153Z","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":"2026-11-11T19:01:52.768Z","paid":true,"summary":"A funded mandate scheduled a pass on this claim."}],"requests":[],"requests_total":0,"subclaim_count":0,"instance_count":0,"source_map":null,"related":[],"findings":[],"dependents":[{"id":"2d5868e4-745c-474f-ac6f-cc9cbc25ea8c","text":"AI oversight success rates decline as the capability gap between overseer and overseen system grows.","claim_type":"empirical_derived","node_kind":"claim","relation_type":"contradicts","reasoning":"If protocol design can hold monitoring success steady as the gap widens, the gap alone does not determine the outcome, which bears against the parent read as a general law.","importance":0.5,"assessment_status":"supported","assessment_confidence":0.7,"assessment_credence":0.75,"bounty_micro_usd":null,"checked":null,"formal":false}],"dependents_total":1,"arguments":[],"subclaims":[],"subclaims_assessed":0}