Rename neural experiments to descriptive paths (drop N* codes)

configs/neural/{N0,N1,N2,N5}.yaml -> {bridge,collapse,grounding,architectures}.yaml,
results dirs likewise. Updated experiment/output.dir fields, comments/docstrings, and
docs; regenerated the four result manifests (now carrying the real git commit). No
functional path resolution referenced the codes (the Makefile globs configs/neural/*.yaml
and tests use inline configs), so nothing breaks. 92 tests green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Giorgio Gilestro 2026-07-04 21:21:56 +01:00
parent 840b6b00b3
commit aca7b394a3
21 changed files with 82 additions and 78 deletions

View file

@ -13,10 +13,12 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
models* (histogram bridge + RNN + MLP; VAE implemented but not fidelity-passing) on a
fully-synthetic sandbox with an exact oracle, plus real MNIST as a later secondary tier. See
`tasks/todo.md` for status and `~/.claude/plans/we-are-going-to-cheerful-fog.md` for the plan.
**Done:** scaffold, the histogram bridge gate (reproduces Layer 1 exactly), N0 (bridge, neural
g*=0.047 ≈ Layer 1), N1 (collapse in RNN weights), N2 (neural phase boundary), N5
(architecture-generality). **Remaining:** N4 (mean-vs-max-merge, load-bearing), N3, N6, figures,
the MNIST tier. The LLM/LoRA rung and the C3 vertical claim are deferred.
**Done:** scaffold, the histogram bridge gate (reproduces Layer 1 exactly), `bridge` (neural
g*=0.047 ≈ Layer 1), `collapse` (in RNN weights), `grounding` (neural phase boundary),
`architectures` (architecture-generality). **Remaining:** `recombination` (mean-vs-max-merge,
load-bearing), `region_matched`, `remint`, figures, the MNIST tier. The LLM/LoRA rung and the C3
vertical claim are deferred. Experiments are named descriptively (`configs/neural/<name>.yaml`),
not by code.
The two design documents are the source of truth for intent: