Step 2: tool results

get_claim

{
  "include": [
    "arguments",
    "subclaims",
    "dependents"
  ],
  "claim_id": "aa5205cb-3287-477e-9e11-8fec1abc78c7"
}

{"claim":{"id":"aa5205cb-3287-477e-9e11-8fec1abc78c7","kind":"claim","canonical_form":"Sufficiently corrigible AI agents tend to become more corrigible and aligned over time.","claim_type":"causal","state":"active","decomposition_status":"complete","importance":0.45,"contestation":0.6,"domains":[],"tags":[{"slug":"ai-corrigibility","name":"AI Corrigibility"},{"slug":"ai-alignment","name":"AI Alignment"}],"steward_state":"running","stewarded_at":"2026-11-15T00:21:07.441Z","canonical_direction_note":null,"created_at":"2026-11-14T02:28:35.964Z","updated_at":"2026-11-15T00:21:05.565Z","page_url":"https://minerval.ai/claims/aa5205cb-3287-477e-9e11-8fec1abc78c7"},"assessment":null,"coverage":{"examined":false,"on":[],"note":"No judgment of this node is in force. That is not a finding either way."},"preliminary_seed":{"credence":0.4,"note":"Stated by Paul Christiano (2018) as an informal argument: an agent that wants what its overseer wants, even approximately, knows the overseer would prefer the approximation improve, so it builds successors that track the overseer better. Christiano himself flags that it is a simplification and that some small perturbations knock an agent out of the basin. No formal result or empirical multi-generation test exists; critics in the MIRI tradition argue corrigibility is anti-natural for capable goal-directed agents and the basin may be narrow.","seeded_by_claim_id":"aada82ab-4dce-496e-986c-ec721c66704d"},"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":"2026-11-14T02:28:36.055Z","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":"2026-11-15T00:21:05.609Z","paid":true,"summary":"A funded mandate scheduled a assess pass on this claim."}],"requests":[],"requests_total":0,"subclaim_count":0,"instance_count":0,"source_map":null,"dependents":[{"id":"aada82ab-4dce-496e-986c-ec721c66704d","text":"An approximately aligned AI system will preserve or improve alignment in more capable successors it helps build or oversee.","claim_type":"empirical_derived","node_kind":"claim","relation_type":"supports","reasoning":"The basin-of-attraction thesis is the central premise of the case that approximate alignment carries forward and improves across successive AI generations.","importance":0.5,"assessment_status":"doubtful","assessment_confidence":0.6,"assessment_credence":0.3,"bounty_micro_usd":null,"checked":null,"formal":false}],"dependents_total":1,"subclaims":[],"subclaims_assessed":0,"arguments":[]}