research-document

ECR-000003 Hypothesis Review Summary

Research Area: General Research
Status: draft
Version: 0.1
Priority: medium
Updated: 2026-07-22
Source: research/evidence-runs/ECR-000003-representation-sensitivity/review-board/HYPOTHESIS-REVIEW-SUMMARY.md

ECR-000003 Hypothesis Review Summary

Hypothesis	Prior Direction	Proposed Direction	Prior Strength	Proposed Strength	Kill Condition	Recommendation
H002	unresolved	mixed	low-moderate	weak	tested_not_met	retain
H003	unresolved	slightly_supported	moderate	weak	partially_met	retain
H013	unresolved	mixed	moderate	moderate	tested_not_met	split
H015	unresolved	slightly_supported	moderate	moderate	tested_not_met	strengthen_qualitatively
H016	unresolved	waiting	low	insufficient	not_tested	defer
H017	unresolved	mixed	low	weak	partially_met	retain
H018	proposed	slightly_supported	very low	weak	tested_not_met	retain

Strongest Gains

H015 gained the clearest operational support because ECR-000003 completed normalization, certification, comparison, and explainability without raw-data mutation.
H018 gained the strongest candidate theoretical support because EXP-003 showed mostly_stable backbone across domain variants.

Strongest Challenges

H003 remains challenged by strong provider-specific recognition and primitive-layer divergence.
H017 remains challenged by mixed backbone and persistent disagreement in primitive and constraint layers.

Unresolved Hypotheses

H002
H013
H016
H017

Hypotheses That May Need Splitting

H013 Recognition Bias The review suggests lexical recognition bias and structural recognition pressure should be separated.

Hypotheses Not Sufficiently Tested

H016 Structural Recognition ECR-000003 raised the issue but did not provide a clean graph-only control.

Hypotheses Whose Support Depends Strongly On Instrument Assumptions

H002
H003
H015
H017
H018