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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 12:32:14 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 12:32:14 -0500
commitb0c8b9cc9d2eac64f64bd9063ccfc5607867e87d (patch)
treec6f39899bdbfe82d72d1593124103cc8e985d4d0 /README.md
parent2fb10ac8e5a45e1b401640193427b7ac56f2b36b (diff)
algorithm: calibrate feedback in representable subspace
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@@ -98,7 +98,11 @@ The convolutional infrastructure can be checked independently:
These checks cover deterministic CIFAR splitting/augmentation, the standard
CIFAR `6n+2` ResNet topology, exact local convolution and BatchNorm
eligibilities, the BatchNorm-coupled perturbation objective, predictor fitting,
-translation-shared feedback, and parameter/cost accounting.
+translation-shared feedback, representable-subspace causal calibration, and
+parameter/cost accounting. The latter is a transparent post-A3 development
+path: it perturbs the channel-gated basis directly and reproduces the expected
+full-field delta rule with far less irrelevant spatial variance. It does not
+retroactively reopen or relabel the failed frozen Oral-A protocol.
`experiments/finalize_accept.sh` additionally requires strict imports of the
frozen BurstCCN and Dual Propagation author-code runs. Both records now pass;