{
  "id": "CLM-2026-0101",
  "kind": "claim",
  "label": "F1 — Token hypothesis",
  "created_at": "2026-09-02",
  "updated_at": "2026-09-02",
  "values": {
    "eml_status": "PRELIMINARY",
    "eml_evidence_level": "E0",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/claims/CLM-2026-0101/",
    "eml_provenance": {
      "source": "EveMissLab research collection: Intelligence Physical Metrology (真本體論13)",
      "extracted_by": "Splice (Claude Code), reading the canonical UTF-8 sources and each package's own reports",
      "extracted_at": "2026-09-11",
      "generator": "tools/extract_all.py",
      "claim_boundary": "status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports"
    },
    "eml_summary": "If the token is a good universal unit of intelligent work, then N_μ^eff / TokenCount should be approximately stable across models, languages and phrasings once task quality is controlled. Large drift across models, modalities or expression forms weakens 'token = intelligent work unit' to an implementation/interface proxy.",
    "eml_summary_zh": "若 token 是良好的普適智能工作單位，則在控制任務品質後，N_μ^eff / TokenCount 應跨模型、語言與措辭大致穩定。若跨模型、模態或表達形式劇烈漂移，「token = 智能工作單位」就退化為實作／介面的代理量。",
    "eml_label_zh": "F1——Token 假說",
    "eml_primary_domain": "Evaluation",
    "eml_program_id": "PRG-2026-0101",
    "eml_data_basis": "THEORY",
    "eml_falsification_conditions": [
      "Falsified for token-as-unit if N_μ^eff per token drifts by large factors across models, languages or phrasings at matched task quality; supported if the ratio is stable."
    ],
    "eml_tags": [
      "falsifiable proposition",
      "IPM v0.1 canonical index §23",
      "Paper 10"
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ],
    "eml_ai_collaborators": [
      "Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)"
    ]
  },
  "canonical_url": "https://evemisslab.com/ai/claims/CLM-2026-0101/",
  "json": "/ai/claims/CLM-2026-0101/index.json",
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    },
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      "id": "REL-2026-0381",
      "predicate": "contains",
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  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45",
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}
