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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:37:49 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:37:49 -0500
commit3f3045c7920d9c2d55ce3b4d428a06ebc89350fe (patch)
treef7d5b5fe965cf32ce142324192cd593e193fc3f1 /ROADMAP.md
parent37cf78b7f696c9eedc0745ebdaa656bff0ab2f81 (diff)
results: pass normalized mirror causal-capture gate
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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