results: close hierarchical task-scalar calibration gate

1 files changed, 9 insertions, 0 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index d6bfa83..c84293d 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -404,6 +404,15 @@ 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.
 
+**Hierarchical task-scalar V4 status: causal-capture gate failed.** Stable
+etaA 0.1 changes early/all-layer alignment from `-0.000263/0.011279` to only
+`-0.000180/0.017336`. EtaA 1 reaches early `0.000348` but produces a 58.48x
+feedback norm ratio; etaA 10 becomes nonfinite. All substantive gates fail,
+so no accuracy run opens. This closes simultaneous global scalar calibration
+of the full 267,904-parameter feedback path at 400 events. The next branch must
+use richer local child-response information and include learned FA/weight
+mirroring as an explicit inherited baseline before adding innovation.
+
 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