results: close fixed hierarchical FA short gate

1 files changed, 12 insertions, 0 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index 15699e2..d6bfa83 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -392,6 +392,18 @@ and uses exact child gradients as oracle inputs. It establishes that future
 development should learn spatial hierarchical feedback without weight copying,
 with random/fixed hierarchical FA and BurstCCN as mandatory baselines.
 
+**Fixed hierarchical-FA baseline status: short gate failed.** The audited
+ResNet-20 screen reaches `39.64%`, `41.58%`, and `43.52%` at hidden rates 0.01,
+0.03, and 0.1. The selected run improves on matched DFA by 6.36 points and has
+early alignment `0.040406`, but misses its frozen 50% full-run threshold.
+HFA-S2 is therefore closed. This validates hierarchical feedback as a stronger
+baseline while ruling out fixed random hierarchy as the complete repair.
+
+The next mechanics branch perturbs every hierarchical feedback-parameter
+subspace in one antithetic pair and subtracts locally computed prediction
+moments. Its causal JVP and exact symmetric-limit delta rule pass, but it has no
+task claim until a frozen-forward alignment gate is preregistered and audited.
+
 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