experiment: speciation_real_emergent
kind: speciation_real
seed: 813
n_replicates: 4

# E13b — EMERGENT model speciation (the decisive experiment; PNAS work order Phase 1). The committed
# E13 cliff IMPOSES contradiction (conflicting label maps); a true Bateson-Dobzhansky-Muller
# incompatibility is emergent — each lineage's changes harmless alone, incompatible only in
# combination. Here the two children diverge WITHOUT any imposed conflict:
#   shared   — control anchor (same task, same data): residual should stay ~0 at every divergence.
#   disjoint — A trains only on classes 0-4, B only on 5-9 (complementary specialists, no
#              contradiction). The money curve is acc_merge_* vs t_div against the parents: at low
#              divergence the merge should RESCUE the two forgetting specialists (Fisher-Muller);
#              if a residual barrier emerges and merged accuracy then falls with divergence, that is
#              E12's compatible -> outbreeding-depression -> inviability trajectory, emergent in real
#              weights. If the residual stays ~0, the honest conclusion is that models are SAFER to
#              merge than the biological analogy predicts (a bound on the analogy) - either outcome
#              is reportable; pre-registered falsifier language, do not tune toward one.
#   augment  — same task/labels, A on +3px-rolled images, B on -3px-rolled (pure representational
#              conventions, zero output conflict): does convention drift alone isolate?
# Alignment is reported permutation-only (residual) AND scale-canonicalised+permutation
# (residual_scale, the full ReLU unit symmetry group; E13c) so any emergent residual cannot be
# dismissed as a missed symmetry (cf. arXiv:2606.23607).

speciation_real:
  sizes: [784, 512, 512, 10]
  conditions: [shared, disjoint, augment]
  t_div: [100, 200, 400, 800, 1600, 3200]
  base_steps: 500
  lr: 0.05
  batch: 128
  n_eval: 2000
  data_root: data

output:
  dir: results/speciation_real_emergent