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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:12:33 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:12:33 -0500
commitf37644eb452f0eb3d7f368740f8b39493f11b2aa (patch)
treea9030326db03e06e1b21ee1d8bcf1f378fc02fc4 /BASELINES.md
parent7ca9658999c8f882b3d5d295a4201cc9a1ce9cde (diff)
protocol: freeze convolutional HFA baseline funnel
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@@ -19,7 +19,8 @@ The audited implementations and completed results are in `RESULTS.md`:
independent random 3x3 feedback tensors, exact parameter-free shortcut
adjoints, and local ReLU/BatchNorm Jacobians; it never copies or reads a
downstream forward convolution and is the mandatory baseline for any learned
- hierarchical extension;
+ hierarchical extension. Its frozen validation-only screen is specified in
+ `HFA_BASELINE.md`;
- direct node perturbation uses a causal target on every hidden update and no
learned vectorizer;
- the no-traffic, `P=0` SDIL backbone is learned direct feedback by node