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>
This commit is contained in:
Giorgio Gilestro 2026-07-04 21:02:49 +01:00
parent 1721d047fa
commit 840b6b00b3
35 changed files with 3679 additions and 23 deletions

View file

@ -0,0 +1,275 @@
experiment: N5_architecture_generality
seed: 20260704
n_replicates: 5
source_config:
experiment: N5_architecture_generality
kind: gen_lineage
seed: 20260704
n_replicates: 5
generations: 22
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: rnn
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 0
policy: proportional
remint:
enabled: false
period: null
H_gate: null
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09
sweep:
- param: model.kind
values:
- histogram
- rnn
- mlp
- param: g
values:
- 0.0
- 0.05
output:
dir: results/N5
grid:
- label:
kind: histogram
g: 0.0
m: 0
neural_cfg:
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: histogram
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 0
policy: proportional
remint:
enabled: false
period: null
H_gate: null
generations: 22
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09
- label:
kind: histogram
g: 0.05
m: 11
neural_cfg:
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: histogram
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 11
policy: proportional
remint:
enabled: false
period: null
H_gate: null
generations: 22
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09
- label:
kind: rnn
g: 0.0
m: 0
neural_cfg:
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: rnn
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 0
policy: proportional
remint:
enabled: false
period: null
H_gate: null
generations: 22
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09
- label:
kind: rnn
g: 0.05
m: 11
neural_cfg:
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: rnn
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 11
policy: proportional
remint:
enabled: false
period: null
H_gate: null
generations: 22
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09
- label:
kind: mlp
g: 0.0
m: 0
neural_cfg:
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: mlp
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 0
policy: proportional
remint:
enabled: false
period: null
H_gate: null
generations: 22
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09
- label:
kind: mlp
g: 0.05
m: 11
neural_cfg:
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 0.001
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: mlp
hidden: 192
embed: 24
epochs: 25
lr: 0.002
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding:
m: 11
policy: proportional
remint:
enabled: false
period: null
H_gate: null
generations: 22
metrics:
kl_floor: 1.0e-09
support_eps: 1.0e-09