experiment: speciation_real
kind: speciation_real
seed: 13
n_replicates: 3

# E13 — REAL-WEIGHT model speciation (the real-weight image of E12). Two small no-BN MLPs are forked
# from a shared MNIST base and trained independently; we merge them (weight averaging) and measure the
# linear-mode-connectivity barrier BEFORE and AFTER Git Re-Basin permutation alignment. The barrier
# alignment removes is a coordinate artefact; the RESIDUAL it cannot remove is the reproductive-isolation
# signal. Three conditions decompose it: `shared` (same task, shared fork — no barrier, trivially
# mergeable), `independent` (same task, different init — large barrier that alignment REMOVES: coordinate
# artefact, residual ~0), `conflict` (conflicting label maps — large barrier alignment CANNOT remove:
# residual = real speciation). The residual after alignment is the discriminator. Falsifier: alignment
# fails to remove the independent-init barrier (then residual isn't meaningful), or conflict shows no
# residual. In-house deterministic weight-matching (scipy); statistically reproducible (seeded torch).

speciation_real:
  sizes: [784, 512, 512, 10]
  conditions: [shared, independent, conflict]
  t_div: [100, 200, 400, 800, 1600]
  base_steps: 500
  lr: 0.05
  batch: 128
  n_eval: 2000
  data_root: data

output:
  dir: results/speciation_real