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@@ -508,6 +508,13 @@ respectively, with no validation or test evaluation. This narrows any future
independent method to operator-level gain control or dissipativity; more
endpoint tuning of the same residual-RMS gate is not justified.
+The follow-up S0 one-sided stability branch also closes before held-out access.
+Its frozen four-margin training-prefix grid has no eligible candidate: small
+margins still overflow BN state and grow weights to `1e17`, while larger
+margins retain finite tensors but violate loss, signal-ratio, weight, and
+momentum envelopes by orders of magnitude. No validation protocol opens. This
+rules out fixed sign-only predictor bias as the missing gain-control mechanism.
+
Prepare convolutional local-update primitives and ResNet-20/32/56 protocols early. Queue frozen
runs opportunistically on authorized idle GPUs. Because BurstCCN already reports CIFAR-10 and
ImageNet scaling, dataset scale alone is not novel. The oral-level target is a memorable joint