All unconditional. No feature flags. ISV controls magnitudes.
PopArt normalize replaces apply_reward_scale in step_with_lobsim,
with V-correct on v_pred_d and v_pred_tp1_d. Spectral norm runs
one power iteration per step on DQN/IQN/policy weight matrices
after each Adam step in dqn_replay_step. Spectral decouple adds
lambda*mean(logits^2) penalty to Q and pi loss in step_synthetic.
K=3 outcome classifier forward+CE loss runs each step; labels
assigned from reward/done signals. Q-bias correction tracks
mean(Q - return) and emits correction to ISV. Per-branch LR
controller adjusts per-head LR scale factors from loss deltas.
ISV slots 553-572 bootstrapped. Per-branch LR kernel ABI fixed:
current losses passed as args (eliminates slot 572-575 collision
with RL_OUTCOME_AUX_LAMBDA_INDEX).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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