Topics — What a work is about. Nucleation holds whatever reading the owner files here, whether or not an Anthology of the SOTA topic could also hold it; instruction for ML practice belongs to the anthology (ADR-048). The words are seeded from the clusters the reading-time triage of 2026-09-25 found, and grow by decision.
Model comparison — choosing between models by their evidence — the marginal likelihood and Bayes factors, the Savage–Dickey density ratio for nested models, Occam factors and the evidence framework, Bayesian model reduction and structure learning, and information criteria and free energies for singular models (ADR-026).
2 of 371 QUESTION documents. Back to the full index.
| # | Title | Summary | Status |
|---|---|---|---|
| QUESTION-040 v4 | When the reification rule prices a candidate found in the same data, among many directions the data only partly determine, what must its Occam term count, and how far does the search inflate the candidate’s d’? | Filed in the fourth synthesis pass to give readings no question asked for a place in the argument. It bears on CLAIM-154, CLAIM-188, CLAIM-152 and CLAIM-164. THEORY-080 and THEORY-028 answer it in part; the body gives each one’s limit. | Open |
| QUESTION-113 | When a system names a category, which criterion is it meeting: that the data supports the distinction, that a deadline forces it, or that it survives refinement and compression, and do the three ever pick the same categories? | The record now holds three criteria for when a distinction earns a name. CLAIM-154 says when the data supports it, and CLAIM-307 when a deadline forces it, the two moving opposite ways with copy count. The third is from Part III of the owner’s LEGO monograph: a category is worth keeping when it persists as refinement adds distinctions and compression prunes them. MOM-CLM-138 rejected the metaphysics built on it and kept the observation as measurable, and CLAIM-164 says what a persistent spectral mode picks out. This asks how the three relate. | Open |