3 commits

Author	SHA1	Message	Date
Giorgio Gilestro	bab81d3178	paper: expand results summary to the full study ... Rename layer1-summary.md -> results-summary.md and rewrite to cover the whole body of work with the sexual-reproduction arc as the through-line: Layer 1 (E1-E6, Wright-Fisher core + closed forms), Layer 1.5 (neural existence proof: histogram bridge, RNN metric reframing, architecture- generality, recombination in weights, real-MNIST external validity), the learning kernel (neutral drift fails both neural models oppositely), the sexual society (E7-E11: advantage of sex, Fisher-Muller super-parents, outbreeding depression, directed sex, the dynamic-society vertical claim), and the Riis positioning (concede collapse=drift; lead with the cure). Technical + accessible halves; six design rules. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-05 13:47:44 +01:00
Giorgio Gilestro	840b6b00b3	Layer 1.5: architecture-general neural existence proof ... Re-scopes Layer 2 into a cheaper, architecture-general neural collapse proof before the LLM rung. Realises the same Wright–Fisher abstractions in real trained generative models on a fully-synthetic sandbox with an exact oracle, reusing knowledge.metrics/truth/seeding and the output contract so neural curves overlay the Layer-1 analytic curves. - src/neural/: synthetic token-grammar sandbox (lossless identity + stochastic style), ExactOracle, HistogramModel bridge, generation loop, experiment runner - HARD GATE passed: histogram lineage reproduces Layer 1 exactly (neutral decay, exact H_eq, tracks run_lineage) — tests/test_neural_validation.py - torch models: autoregressive RNN + MLP (VAE implemented, not yet fidelity- passing); determinism seeding derived from the SeedSequence stream - N0 bridge (neural g*=0.047 ≈ Layer-1 0.048), N1 collapse-in-weights, N2 phase boundary, N5 architecture-generality (collapse + grounding-rescue in histogram + RNN + MLP). Manifests/configs committed; parquet gitignored, hashes tracked - additive backward-compatible save_artifacts extension; Makefile neural targets Finding: neural smoothing partially resists H-collapse, so forward-KL and tail survival are the sharp neural collapse metrics (H is smooth, per Layer 1). 92 tests green. Remaining (tasks/todo.md): N4 merge, N2 refine, N3/N6, VAE fidelity, MNIST tier, figures. LLM/LoRA rung and C3 deferred. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-04 21:02:49 +01:00
Giorgio Gilestro	a6eb9b7512	Layer 1 core: Wright-Fisher knowledge-transmission model with E1-E2 ... Scaffold plus the Layer 1 analytical core and the first two experiments. - knowledge/: truth, metrics, teachers (2.7.1 shared-switch construction), step, lineage, experiment, config, seeding (imported as `knowledge`). - Validation spine green: neutral decay (Pred 1), fixation (Pred 2), exact mutation-drift equilibrium (Pred 3), union coverage (Pred 5). 68 tests pass. - E1 reproduces tail-first collapse. E2 delivers the headline: a grounding phase boundary g* << 1, with stationary H tracking the exact H_eq closed form (g=0.005 -> 68% of truth diversity; g=0.05 -> 96%). - Reproducibility: uv venv from a hash-pinned uv.lock is the source of truth; every run writes results.parquet + resolved_config.yaml + manifest.json (lib versions, git commit, sha256). Figures and manifests tracked; the large regenerable parquet is gitignored. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-04 18:10:18 +02:00