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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 06:45:17 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 06:45:17 -0500
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results: audit innovation figure statistics
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@@ -120,6 +120,13 @@ result therefore depends on subtracting the soma-predictable component, not mere
normalizing an oversized update. This is the most direct evidence that the Harnett-specific
innovation operation is algorithmically necessary.
+The strict Figure 3 renderer now audits all 60 cells directly from their clean result records. At
+`rho=0.5`, the paired innovation gains are `+86.968 ± 0.626` points over raw and
+`+87.038 ± 0.607` over norm-matched raw. Mean final all-layer alignment of the signal actually used
+for learning is `-0.438 ± 0.075` for raw, `-0.114 ± 0.176` for norm-matched raw, and
+`+0.205 ± 0.020` for innovation. Thus subtraction preserves both task performance and a descent
+direction; positive per-example norm matching cannot rotate the contaminated raw signal.
+
## Continuous-BCI Harnett-signature screen (development only)
The oral-B protocol was committed before any result and then run as a complete