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@@ -413,6 +413,14 @@ of the full 267,904-parameter feedback path at 400 events. The next branch must use richer local child-response information and include learned FA/weight mirroring as an explicit inherited baseline before adding innovation. +**Normalized response-mirror WM-1 status: passed.** Twenty batch-1 local +observations at selected etaM 0.1 raise early/all alignment from +`-0.000263/0.011279` to `0.446141/0.542159`, with feedback/forward cosine +`0.915480`, norm ratios `[0.889,1.157]`, zero task-loss queries, and only +`1.6305e9` MACs. All five gates pass. The bounded two-rate WM-2 accuracy screen +is opened. This is inherited baseline performance; the paper score changes +only if innovation later becomes load-bearing on top of the scalable mirror. + 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 |