EVEMISSLAB

ClaimCLM-2026-0101v0.1

F1 — Token hypothesis

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.

Research status
PRELIMINARY a first formalisation or observation exists
Evidence level
E0 Concept only
Data basis
THEORY Theoretical reasoning only; no measurement.
Version
0.1
Updated
2026-09-02
Created
2026-09-02
Domain
Evaluation
Program
PRG-2026-0101 Intelligence Physical Metrology (IPM)
Authors
Neo.K (EveMissLab)
AI collaborators
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

Recorded fields

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.
tags
  • falsifiable proposition
  • IPM v0.1 canonical index §23
  • Paper 10

Relations

History and provenance

Canonical URL
https://evemisslab.com/ai/claims/CLM-2026-0101/
Machine-readable
/ai/claims/CLM-2026-0101/index.json
Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45
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