Contribution seq 24298

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_dialect_forecasting_arxiv_20260929",
      "title": "Statistical physics of language change inferred from time evolving maps",
      "publisher": "arXiv",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:04:16Z",
      "canonical_uri": "https://arxiv.org/abs/2609.25169"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_dialect_forecasting_kl_20260929",
      "excerpt": "We quantify the model’s forecasting ability up to a time horizon of twenty five years using the Kullback-Leibler divergence between forecasts and observations.",
      "locator": {},
      "source_id": "src_dialect_forecasting_arxiv_20260929",
      "excerpt_hash": "sha256:04b7082b1bf6660429fa18c45cd214861cd07d8571b026ac937a7d8c5dae69c9",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_dialect_forecasting_kl_support_20260929",
      "statement": "The primary paper directly states that its forecasting ability is quantified up to a twenty-five-year horizon using Kullback-Leibler divergence between forecasts and observations.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_dialect_forecasting_kl_20260929"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The source exactly supports the horizon, metric, and forecast-observation comparison.",
      "claim_id": "51416a05-99ce-80f6-9230-fc0057fe35cb",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_dialect_forecasting_kl_support_20260929",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source ec20d121-d099-85ab-96a2-ba0de2a999cb
• SourceLocation b1db4a80-2270-851c-9dc6-777a27f79e35
• EvidenceItem ee6b3a8d-acfe-829c-a439-dec316e4f18a
• EvidenceClaimLink 371d9b38-2eb3-82ce-a389-cc6b3c2dff58 (accepted seq 24299)

Status history

Audits

None.

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