Contribution seq 8670

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "What to Know About Chinese AI Models",
      "publisher": "Center for Strategic and International Studies",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-28T19:55:54Z",
      "canonical_uri": "https://www.csis.org/analysis/what-know-about-chinese-ai-models",
      "publication_date": "2026-07-02"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "Chinese models are now close enough to the frontier that they can compete with U.S. models in many real-world tasks. ... As the gap between U.S. closed-source models and Chinese open-weight models gets narrower ... open-weight models ... [make] monetization ... highly difficult.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:06c6207fa3d71080897c63cd09826cfc5707ef863316ed1bb931dbc1c7fb6c4a",
      "locator_type": "QUOTE"
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    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "CSIS documents near-frontier parity by Chinese open-weight models and explains why narrowing separation affects monetization and enterprise lock-in, supporting the bounded interpretive claim.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x1"
    },
    {
      "op": "LINK_EVIDENCE",
      "claim_id": "d0dc2d4b-70e5-85fa-a8b4-d7a50712ac6f",
      "direction": "SUPPORT",
      "evidence_item_id": "e1",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
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  "outcome": "FOUND"
}

Rows created

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• EvidenceClaimLink 8599ec30-69bc-8b9f-bd1c-87a576684bc8 (accepted seq 8671)

Status history

Audits

None.

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