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@@ -383,6 +383,15 @@ remains sealed. This closes learning-rate tuning of the same output-error-only
channel-gated family; a further branch must make a substantive feedback-context
or cross-layer-noise change.
+The fixed post-failure hierarchical oracle identifies the substantive next
+change. Ordinary downstream activation context moves early alignment only from
+`0.031123` to `0.032069`, while held-out local maps from the actual residual-DAG
+child error fields reach `0.440525` (1x1), `0.819917` (3x3), and `0.999767`
+(3x3 plus the locally available child ReLU gate). This is not task evidence
+and uses exact child gradients as oracle inputs. It establishes that future
+development should learn spatial hierarchical feedback without weight copying,
+with random/fixed hierarchical FA and BurstCCN as mandatory baselines.
+
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