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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 19:45:46 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 19:45:46 -0500
commit0008f2cd96c06bea98f43560867d93967c597711 (patch)
tree9699171527b91b5468a15828ee501eeca4bf72cd /ROADMAP.md
parent15c60d05a7b6e173f6962d644ab23905d3441501 (diff)
docs: promote full dynamic ResNet result
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@@ -538,6 +538,14 @@ hard-gated on a complete D3 pass, evaluates test exactly once per run, and can
raise 6-to-7 only through its predeclared accuracy, paired noninferiority,
alignment, leakage, query, and cost checks.
+**Dynamic neutral projection D3: passed.** The sole frozen 200-epoch record
+passes all 19 gates at source revision `d945c42`: `91.18%` validation versus
+BP's `91.62%` and clean KP's `91.26%`, `0.999353` early alignment, `0.999663`
+late feedback cosine, zero task-loss queries, and `1.3261x` BP MACs. Exactly
+one validation and zero test evaluations occur. Per the frozen rule, the
+strict reviewer score rises from 5 to 6 and the already committed D4 paired
+five-seed test panel is now open.
+
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