experiment: grounding_phase_boundary
kind: gen_lineage
seed: 20260704
n_replicates: 5

# (Layer 1.5 headline, maps to Layer-1 E2): the grounding phase boundary in REAL weights.
# Sweep the grounding fraction g = m/(n+m) and locate the neural critical g* at which
# stationary diversity is restored. Layer 1 found g* = 0.048 << 1. The neural regime (finite
# model capacity, a smaller K so gen-0 fidelity holds) will not reproduce that value exactly
# -- the claim is directional (blueprint 3.5): a critical g* << 1 exists in trained weights,
# i.e. a little grounding protects most of the diversity. Falsifier: stationary H flat in g,
# or only restored as g -> 1.
generations: 30

synthetic:
  K: 256
  R: 1
  tail: zipf
  zipf_s: 1.3
  tail_frac: 0.5
  tail_threshold: 1.0e-3
  init: truth
  style_len: 3
  style_vocab: 5
  id_base: 2

model:
  kind: rnn
  hidden: 128
  embed: 24
  epochs: 25
  lr: 2.0e-3
  batch_size: 256
  n_eval: 12000

dynamics:
  n: 200
  grounding: {m: 0, policy: proportional}   # m overwritten per g by the sweep
  remint: {enabled: false, period: null, H_gate: null}

metrics:
  kl_floor: 1.0e-9
  support_eps: 1.0e-9

sweep:
  - param: g
    values: [0.0, 0.005, 0.01, 0.02, 0.05, 0.1, 0.2]

output:
  dir: results/grounding