ClaimCLM-2026-0105v0.1

F5 — Semantic intermediate utility

If the semantic middle layer N_μ has no measurement value, then adding it should not improve the explanation or prediction of cross-architecture efficiency, error paths, scaffold gain or task transfer over a direct physical-cost → quality model. μI itself must pass this predictive/explanatory utility test or be revised or eliminated.

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 if N_μ adds no explanatory or predictive power over physical-cost → quality models; supported if it does.
tags: falsifiable proposition
IPM v0.1 canonical index §23
Paper 10

Relations

Source	Relation	Target	Status	ID
`CLM-2026-0105` F5 — Semantic intermediate utility	`belongs_to`	`RES-2026-0103` Capability line — how much intelligence remains without the loop, and the unified intelligence event	`ACTIVE`	`REL-2026-0388`
`THY-2026-0110` The canonical intelligence event, Pareto comparison and no premature scalarization	`contains`	`CLM-2026-0105` F5 — Semantic intermediate utility	`ACTIVE`	`REL-2026-0389`
`PAP-2026-0111` IPM v0.1 canonical index — series overview, unified notation and the v0.2 experimental entry point	`formalizes`	`CLM-2026-0105` F5 — Semantic intermediate utility	`ACTIVE`	`REL-2026-0443`
`PAP-2026-0110` Paper 10 — How much physical world does an answer cost? A unified metrology framework for intelligence yield	`formalizes`	`CLM-2026-0105` F5 — Semantic intermediate utility	`ACTIVE`	`REL-2026-0444`
`EXP-2026-0105` Experiment C — μI operational identification (declared)	`tests`	`CLM-2026-0105` F5 — Semantic intermediate utility	`ACTIVE`	`REL-2026-0494`

History and provenance

Canonical URL

https://evemisslab.com/ai/claims/CLM-2026-0105/

Machine-readable

/ai/claims/CLM-2026-0105/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