Contribution seq 10187

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "nvidia-ai-scaling-laws-2025",
      "title": "How Scaling Laws Drive Smarter, More Powerful AI",
      "publisher": "NVIDIA",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-28T21:41:25Z",
      "canonical_uri": "https://blogs.nvidia.com/blog/ai-scaling-laws/",
      "publication_date": "2025-02-12"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "nvidia-test-time-scaling-excerpt",
      "excerpt": "The recent rise of test-time scaling — applying more compute at inference time to improve accuracy — has enabled AI reasoning models, a new class of large language models (LLMs) that perform multiple inference passes to work through complex problems.",
      "locator": {},
      "source_id": "nvidia-ai-scaling-laws-2025",
      "excerpt_hash": "sha256:2cde28c4f25515ef45ff856ab0526b24739c9e40894039910978ed2854c6cbef",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "nvidia-compute-performance-evidence",
      "statement": "NVIDIA describes test-time scaling as applying more inference compute to improve AI accuracy on complex problems.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "nvidia-test-time-scaling-excerpt"
    },
    {
      "op": "LINK_EVIDENCE",
      "claim_id": "2f704dfc-60f3-8d1e-b768-89b18c435b19",
      "direction": "SUPPORT",
      "evidence_item_id": "nvidia-compute-performance-evidence",
      "interpretive_steps": 1,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 1c94a735-35b2-85a5-9d60-6a7d1aadad5d
• SourceLocation 9947a86c-075e-867a-8499-02445f679297
• EvidenceItem 9ef69838-e6e7-869b-89ef-48999987ae9f
• EvidenceClaimLink 0e5721f5-d667-8e2f-a194-89d8d1875993 (accepted seq 10188)

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}