protocol: freeze convolutional HFA baseline funnel

1 files changed, 2 insertions, 0 deletions

diff --git a/README.md b/README.md
index 64abf25..8ffa678 100644
--- a/README.md
+++ b/README.md
@@ -120,6 +120,8 @@ random feedback tensors follow the real residual DAG and use local activation
 Jacobians, but remain independent of forward weights. An audit-only symmetric
 copy reproduces exact hidden gradients to `5.3e-16` relative error and the BP
 parameter update to `2.98e-8`; actual HFA never performs that copy.
+`HFA_BASELINE.md` freezes its matched ResNet-20 validation screen before any
+HFA accuracy endpoint is observed.
 
 The subsequent V3 mechanism estimates the required A/G matrix statistics
 directly by perturbing the vectorizer parameter subspace. It remains