Add causal person track GRU residual experiment

summarize_local_baselines.py

@@ -26,11 +26,17 @@ def main():
         if args.dataset is not None and metrics.get("dataset") != args.dataset:
             raise ValueError(f"Dataset mismatch in {path}: {metrics.get('dataset')}")
         if args.paired_deltas:
-            signature = (metrics.get("dataset"), metrics.get("sessions"), metrics.get("checkpoint_epoch"),
+            # Candidates may select different best epochs on the same dev set.
+            # Match the maximum training budget, not the selected epoch.
+            training_epochs = metrics.get(
+                "checkpoint_training_epochs",
+                metrics.get("checkpoint_epoch"),
+            )
+            signature = (metrics.get("dataset"), metrics.get("sessions"), training_epochs,
                          metrics.get("checkpoint_train_sessions"), metrics.get("checkpoint_dev_sessions"),
                          metrics.get("loss"), metrics.get("layer_fusion"))
             if comparison_signature is not None and signature != comparison_signature:
-                raise ValueError(f"Paired runs have different splits/epochs/loss/fusion: {path}")
+                raise ValueError(f"Paired runs have different splits/budget/loss/fusion: {path}")
             comparison_signature = signature
         score = metrics[args.protocol]
         first = score["horizons"][0]
@@ -54,7 +60,8 @@ def main():
     if args.paired_deltas:
         print("\nPaired deltas (percentage points; same column order; matching seeds only)")
         for treatment, control in (("audio", "baseline"), ("visual", "baseline"),
-                                   ("av", "baseline"), ("av", "audio")):
+                                   ("av", "baseline"), ("av", "audio"),
+                                   ("track_gru", "pooled")):
             left, right = by_seed.get(treatment, {}), by_seed.get(control, {})
             seeds = sorted(left.keys() & right.keys())
             if not seeds: