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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:43:05 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:43:05 -0500
commit203e75987d02cdb8c317e3302e1f05c9a4beb0e3 (patch)
tree25c237464e4babaca401222905311bcf295d1cd4 /ROADMAP.md
parentdba3eb29d5797c1b74d7e1e781523afad9faeb8e (diff)
results: close normalized mirror short accuracy gate
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@@ -421,6 +421,14 @@ observations at selected etaM 0.1 raise early/all alignment from
is opened. This is inherited baseline performance; the paper score changes
only if innovation later becomes load-bearing on top of the scalable mirror.
+**Normalized response-mirror WM-2 status: short accuracy gate failed
+narrowly.** Selected hidden LR 0.1 reaches `64.04%`, versus `43.52%` fixed HFA
+and `74.94%` BP, with early/all alignment `0.9393/0.9162`, zero task-loss
+queries, and `0.9968x` BP MACs. It misses the 65% threshold by 0.96 points and
+the within-10-point BP gate by 0.90 points, so WM-3 is closed. The next branch
+cannot tune this mirror recipe; it must make a substantive rule or information
+change and must not treat high alignment alone as task equivalence.
+
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