diff --git a/conf/gtauav_baseline.gin b/conf/gtauav_baseline.gin
index 26ae7e3..7646f1b 100644
--- a/conf/gtauav_baseline.gin
+++ b/conf/gtauav_baseline.gin
@@ -13,9 +13,16 @@
 include 'conf/gtauav_balanced.gin'
 
 TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_mutex"
+TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_inbatch"
 TrainConfigGTAUAV.use_gradcam = False
 
 # ---- Diagnostic overrides ----
-TrainConfigGTAUAV.sampler_type = "mutex"  # was "dss" — disable hard-batch construction
-InfoNCELoss.hard_mining_k = 0  # was 512 — use full queue without per-query top-K
+# Previous mutex-only run still collapsed at epoch 1 (val loss locked at log(8)).
+# Hypothesis refined: the MoCo-style queue stays stale because we have no
+# momentum encoder, and with reduced trainable surface (MONA-12) the model
+# can't reconcile fresh representations against 4096 stale negatives —
+# mode collapse. Disable the queue entirely so InfoNCE sees only the 8
+# fresh in-batch negatives, matching the OLD run's effective setup.
+TrainConfigGTAUAV.sampler_type = "mutex"  # was "dss"
+TrainConfigGTAUAV.neg_bank_size = 0  # was 4096 — disable MoCo queue (no momentum encoder)
+InfoNCELoss.hard_mining_k = 0  # was 512 — irrelevant when queue is empty