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@@ -456,6 +456,15 @@ feedback tracking. No KP task endpoint had been generated when this protocol was committed. KP is inherited Akrout et al. machinery and cannot raise the paper score; only a later load-bearing innovation ablation can do that. +**Modified Kolen--Pollack KP-1 status: passed.** The sole frozen record reaches +`82.66%` validation accuracy versus matched BP's epoch-20 `81.02%`, with early +alignment `0.885583`, final feedback/forward cosine `0.901034`, and epoch-11--20 +mean cosine `0.854594`. It is finite, uses zero task-loss queries, and costs +`1.3261x` BP after charging reciprocal correlations. KP-2 is opened at exactly +the frozen settings. This strongly repairs the feedback-substrate engineering +problem but remains inherited Akrout et al. evidence, so the paper score stays +5/10. + 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 |