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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:57:08 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:57:08 -0500
commit80ead0dcdc410281894956402c08a2a26da63434 (patch)
tree0037bffef4417c570123f0bfdfd3ca7543a97027 /ROADMAP.md
parent6206483780d75ecff61c396b7f1bf7e23e5b1ca5 (diff)
results: pass residual mirror short gate
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@@ -438,6 +438,15 @@ rate is not widened or retuned. The frozen two-rate RRM-2 short accuracy screen
is opened. This is inherited baseline progress and cannot change the paper
score until a load-bearing innovation experiment uses the substrate.
+**Residual response-mirror RRM-2 status: short accuracy gate passed
+narrowly.** Selected hidden LR 0.1 reaches `65.08%`, 9.86 points below matched
+BP at `74.94%`, with early/all alignment `0.999128/0.999377`, feedback/forward
+cosine `0.999902`, zero task-loss queries, and `0.9969x` BP MACs. It clears the
+two accuracy margins by only 0.08 and 0.14 points; the LR-0.03 run reaches
+62.32%. Every frozen check nevertheless passes, so exactly one RRM-3 full
+validation run opens at the selected settings. The result remains baseline
+evidence and the reviewer 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