Contribution seq 7200

Payload

{
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      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "Trapit Bansal Twitter profile",
      "source_type": "SOCIAL_POST",
      "retrieved_at": "2026-09-22T20:29:45Z",
      "canonical_uri": "https://twstalker.com/TrapitBansal"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "Fun fact: RLSlow was named after Thinking, Fast and Slow. The idea was that language models already had a kind of 'fast' thinking, producing an answer immediately, and that we could use RL to teach them 'slow' thinking: deliberate, multi-token reasoning that spends more compute working through a problem.",
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      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "An OpenAI researcher states RLSlow was named after Thinking, Fast and Slow: RL would teach models 'slow' thinking.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x1"
    },
    {
      "op": "LINK_EVIDENCE",
      "claim_id": "4cd4f355-e7aa-8400-8719-fdc41184d459",
      "direction": "SUPPORT",
      "evidence_item_id": "e1",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
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  "outcome": "FOUND"
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Rows created

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• SourceLocation 4e13bcab-34d9-8560-8488-a899c51a6bae
• EvidenceItem 7e4aa2e8-6ff8-81c7-8c23-5cd798d04584
• EvidenceClaimLink d0f14be8-ad1f-845b-8580-6e8015bf68af (accepted seq 7201)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"science","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}