results: close normalized mirror short accuracy gate

1 files changed, 19 insertions, 0 deletions

diff --git a/MIRROR_BASELINE.md b/MIRROR_BASELINE.md
index 0532955..ea70a97 100644
--- a/MIRROR_BASELINE.md
+++ b/MIRROR_BASELINE.md
@@ -100,3 +100,22 @@ Each learned record uses 20 local observations, zero logical task-loss queries,
 and estimated work `1.6305e9` MACs. WM-1 status is `passed`; WM-2 opens with
 the predeclared `eta_M=0.1`. No validation accuracy was used for this selection
 and CIFAR-10 test remains untouched.
+
+## Audited WM-2 outcome (2026-07-22)
+
+Both trajectories are finite and retain strong feedback credit:
+
+| hidden LR | validation accuracy | early alignment | all-layer alignment | MACs / BP |
+|--:|--:|--:|--:|--:|
+| 0.03 | 62.68% | 0.827404 | 0.825811 | 0.9968x |
+| 0.10 | **64.04%** | **0.939256** | **0.916222** | **0.9968x** |
+
+Selected LR 0.1 improves on fixed HFA by 20.52 points and uses zero task-loss
+queries for feedback learning. It passes finite, alignment, query, and cost
+checks. However, it misses the 65% threshold by 0.96 points and remains 10.90
+points below matched BP, missing the within-10-point gate by 0.90 points.
+
+WM-2 status is `failed`. WM-3 is not launched, no cadence/batch/rate tuning is
+allowed, and test remains untouched. The high `0.939` hidden-credit cosine but
+11-point accuracy gap also warns that directional alignment alone does not
+guarantee matched finite-horizon optimization.