Contribution seq 7264

Payload

{
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      "op": "CREATE_SOURCE",
      "ref": "src1",
      "title": "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:17:44Z",
      "canonical_uri": "https://arxiv.org/html/2402.17177v2"
    },
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      "ref": "ex1",
      "excerpt": "Researchers attribute Sora’s proficiency to not only processing user-generated textual prompts but also discerning the complicated interplay of elements within a scenario.",
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      "excerpt": "These emergent abilities suggest that scaling video models is effective in creating AI models to simulate the complexity of physical and digital worlds.",
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      "evidence_item_id": "ev1",
      "interpretive_steps": 1,
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Rows created

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• EvidenceClaimLink 20140a70-5070-8f02-823e-10c8305f9255 (accepted seq 7265)
• EvidenceClaimLink d3d08b77-5533-8cd9-a464-70363f2a46c6 (accepted seq 7265)

Status history

Audits

None.

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