results: pass residual mirror short gate

1 files changed, 15 insertions, 0 deletions

diff --git a/RESULTS.md b/RESULTS.md
index bb7f086..a4c63c9 100644
--- a/RESULTS.md
+++ b/RESULTS.md
@@ -853,6 +853,21 @@ RRM-2 is opened using the already frozen rate and cadence. This is a strong
 inherited learned-alignment baseline, not Harnett-specific evidence, so it does
 not raise the SDIL paper score by itself.
 
+The frozen RRM-2 short task gate subsequently passes:
+
+| method | validation accuracy | early alignment | all-layer alignment | estimated MACs |
+|:--|--:|--:|--:|--:|
+| RRM, hidden LR 0.03 | 62.32% | 0.999604 | 0.999692 | 2.4257e13 |
+| RRM, hidden LR 0.10 | **65.08%** | **0.999128** | **0.999377** | 2.4257e13 |
+| matched BP | 74.94% | n/a | n/a | 2.4331e13 |
+
+The selected run clears 65% by 0.08 points and the within-10-point BP gate by
+0.14 points. It is finite, uses zero task-loss queries, costs `0.9969x` matched
+BP MACs, and retains feedback/forward cosine `0.999902`. All frozen checks pass,
+so the single RRM-3 full validation run opens. The 9.86-point gap despite nearly
+perfect instantaneous alignment is retained as a negative diagnostic rather
+than treating cosine as a proxy for optimization equivalence.
+
 ## How to run
 `experiments/run.py --mode {bp,fa,dfa,sdil} --dataset {mnist,fmnist,cifar10} --depth D --residual {0,1} --act {tanh,gelu,silu,relu}`
 Batteries: `experiments/run_v2.sh <ds> "<depths>" <res> <act> "<seeds>" <ep> <pfx>`.