diff --git a/crates/ml/src/trainers/dqn/fused_training.rs b/crates/ml/src/trainers/dqn/fused_training.rs
index 3607a3907..575c3a7c4 100644
--- a/crates/ml/src/trainers/dqn/fused_training.rs
+++ b/crates/ml/src/trainers/dqn/fused_training.rs
@@ -948,24 +948,12 @@ impl FusedTrainingCtx {
                 }
             }
 
-            // ── Step 2b: Temporal pipeline (outside graph — runs ungraphed) ────
-            // Disable event tracking: these ops use buffers shared with graphed
-            // kernels, and cudarc event recording corrupts graph_aux replay.
-            {
-                unsafe { self.stream.context().disable_event_tracking(); }
-                let bs = self.batch_size;
-                self.trainer.mamba2_step(bs)
-                    .map_err(|e| anyhow::anyhow!("mamba2_step: {e}"))?;
-                self.trainer.compute_predictive_coding_loss(bs)
-                    .map_err(|e| anyhow::anyhow!("predictive_coding: {e}"))?;
-                self.trainer.apply_regime_dropout(bs, true)
-                    .map_err(|e| anyhow::anyhow!("regime_dropout: {e}"))?;
-                self.trainer.launch_isv_temporal_route()
-                    .map_err(|e| anyhow::anyhow!("isv_temporal_route: {e}"))?;
-                self.trainer.risk_budget_forward(bs)
-                    .map_err(|e| anyhow::anyhow!("risk_budget: {e}"))?;
-                unsafe { self.stream.context().enable_event_tracking(); }
-            }
+            // ── Step 2b: Temporal pipeline ────
+            // TODO: temporal ops (mamba2, regime_dropout, isv_temporal_route,
+            // risk_budget, predictive_coding) corrupt graph_aux replay when run
+            // ungraphed between graph_forward and graph_aux. Will be addressed
+            // in the cuBLAS aux rewrite — either inside graph_temporal or
+            // by eliminating graph_aux dependency.
 
             // ── Step 2c: HER donor computation (outside graph_aux) ───────────
             if let Some(ref mut her) = self.gpu_her {