Replace 20 per-model training examples with: - train_baseline_rl: DQN + PPO (renamed from train_baseline) - train_baseline_supervised: TFT, Mamba2, Liquid, TGGN, TLOB, KAN, xLSTM, Diffusion via model factory + UnifiedTrainable generic training loop Update Dockerfile.training (16→7 binaries), train.sh MODEL_BINARY map, and job-template.yaml default. -12,759 lines. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>