results: record failed Oral-A full ResNet gate

1 files changed, 9 insertions, 7 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index b2a7185..ee71db8 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -335,13 +335,15 @@ claim is explicitly computational rather than a fit to cortical data.
 
 ## Oral bar A: standard deep architectures
 
-**Status: mechanics and gates frozen; no image/ResNet accuracy observed yet.**
-`ORAL_A.md` fixes a validation-only ResNet-20 development funnel followed, only
-if it passes, by an untouched five-seed ResNet-20/32/56 test panel. The standard
-BatchNorm local Jacobian and BN-coupled batch-objective perturbation estimator
-both match exact numerical derivatives below `1e-6`. The alternative
-translation-shared state-gated vectorizer reduces ResNet-56 feedback parameters
-131x and is included prospectively alongside the full spatial template.
+**Status: A3 failed; A4 was not opened and all confirmation test seeds remain untouched.**
+`ORAL_A.md` froze a validation-only ResNet-20 development funnel. A1 passed with
+`91.62%` BP validation accuracy. A2b selected channel-gated SDIL at `41.98%`,
+ahead of tuned DFA at `37.16%`, on the 10k/20-epoch screen. In full A3, DFA
+ended finite at `33.06%`; SDIL became nonfinite at epoch 90 and ended at
+`10.00%`, failing alignment, accuracy, and finiteness gates. The MAC gate alone
+passed. Per the stop rule, the five-seed ResNet-20/32/56 test panel was never
+run. The exact BatchNorm/local-gradient mechanics remain verified, but the
+current training recipe does not establish standard-network scaling.
 
 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