From 5dcd29000579d9dea626b47f84aa3fdc16700605 Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Wed, 22 Jul 2026 12:41:18 -0500 Subject: results: close Oral-A v2 causal-capture gate --- ROADMAP.md | 9 +++++++++ 1 file changed, 9 insertions(+) (limited to 'ROADMAP.md') diff --git a/ROADMAP.md b/ROADMAP.md index 3203e04..75e606a 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -355,6 +355,15 @@ development branch must therefore reduce causal-estimator variance in the representable channel-gated subspace; changing only the v1 threshold is not an allowed response. +**Post-failure v2 status: causal-capture gate failed.** The structured +representable-subspace estimator raised matched frozen-forward early/all-layer alignment from +`0.001105/0.011664` to `0.007209/0.052740`. It passed the all-layer threshold +but missed both the preregistered `0.01` early-layer threshold and the `0.01` +absolute early-layer advantage. Per `ORAL_A_V2.md`, the full 200-epoch v2 run +was not launched; test and confirmation seeds remain untouched. This localizes +the remaining bottleneck to early-layer credit rather than merely spatial +projection variance. + 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 -- cgit v1.2.3