fix: OFI_DIAG reads new canonical indices [42..62), remove state_dim from evaluate_baseline

- OFI_DIAG now reads positions [42..62) using OFI_START constant instead of
  hardcoded [66..74). Verified: raw_mean=0.0891, delta_mean=-0.0370,
  book_agg=0.4500, log_dur=-0.2303 (was all zeros before).
- Removed 3 stale state_dim field initializers from evaluate_baseline.rs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

.claude/scheduled_tasks.lock

@@ -1 +0,0 @@
-{"sessionId":"4d4aa47f-4eb8-44d0-9d38-840da6e33fc0","pid":173970,"acquiredAt":1776019129035}

crates/ml/examples/evaluate_baseline.rs

@@ -889,7 +889,6 @@ fn evaluate_dqn_fold(
     // must match exactly, otherwise checkpoint loading fails (tensor shape mismatch).
     #[allow(clippy::integer_division)]
     let config = DQNConfig {
-        state_dim: args.feature_dim,
         num_actions: args.num_actions,
         hidden_dims: {
             let base = hp_usize(hp, "hidden_dim_base").unwrap_or(256);
@@ -1059,7 +1058,6 @@ fn evaluate_dqn_fold_gpu(
 
     #[allow(clippy::integer_division)]
     let config = DQNConfig {
-        state_dim: args.feature_dim,
         num_actions: args.num_actions,
         hidden_dims: {
             let base = hp_usize(hp, "hidden_dim_base").unwrap_or(256);
@@ -1366,7 +1364,6 @@ fn evaluate_ppo_fold_gpu(
     // ── Build PPO config matching training ───────────────────────────────
     #[allow(clippy::integer_division)]
     let config = PPOConfig {
-        state_dim: args.feature_dim,
         num_actions: 63,
         policy_hidden_dims: {
             let base = hp_usize(hp, "hidden_dim_base").unwrap_or(256);

crates/ml/src/trainers/dqn/trainer/training_loop.rs

@@ -1941,15 +1941,17 @@ impl DQNTrainer {
             );
         }
 
-        // OFI feature diagnostic (every 10 epochs)
+        // OFI feature diagnostic (every 10 epochs).
+        // Layout per state_layout.rs: OFI at [42..62) = raw[42..50) + delta[50..58) + book_agg[58] + log_dur[59] + accel[60] + toxicity[61].
         if (epoch + 1) % 10 == 1 {
             if let Some(ref fused) = self.fused_ctx {
                 match fused.read_state_sample(0) {
-                    Ok(sample) if sample.len() > 83 => {
-                        let ofi_raw: &[f32] = &sample[66..74];
-                        let ofi_delta: &[f32] = &sample[74..82];
-                        let book_agg = sample[82];
-                        let log_dur = sample[83];
+                    Ok(sample) if sample.len() >= ml_core::state_layout::STATE_DIM => {
+                        let ofi_start = ml_core::state_layout::OFI_START;
+                        let ofi_raw: &[f32] = &sample[ofi_start..ofi_start + 8];
+                        let ofi_delta: &[f32] = &sample[ofi_start + 8..ofi_start + 16];
+                        let book_agg = sample[ofi_start + 16];
+                        let log_dur = sample[ofi_start + 17];
                         info!(
                             "OFI_DIAG: raw_mean={:.4}, delta_mean={:.4}, book_agg={:.4}, log_dur={:.4}",
                             ofi_raw.iter().sum::<f32>() / 8.0,