algorithm: calibrate hierarchical feedback parameter subspaces

1 files changed, 7 insertions, 0 deletions

diff --git a/README.md b/README.md
index 8ffa678..5669be5 100644
--- a/README.md
+++ b/README.md
@@ -123,6 +123,13 @@ 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 learned-hierarchy development path perturbs the feedback convolution
+parameter spaces themselves. One antithetic pair estimates every edge's causal
+target moment simultaneously, while the current prediction moment is a local
+child/parent correlation. Its BatchNorm-coupled JVP and symmetric-limit delta
+rule are executable smoke tests; no accuracy claim is attached until its own
+causal-capture protocol is frozen and passed.
+
 The subsequent V3 mechanism estimates the required A/G matrix statistics
 directly by perturbing the vectorizer parameter subspace. It remains
 forward-only and uses two causal loss queries per direction. Its exact and