results: record residual mirror full failure

1 files changed, 18 insertions, 0 deletions

diff --git a/RESULTS.md b/RESULTS.md
index 76ffc29..e2426af 100644
--- a/RESULTS.md
+++ b/RESULTS.md
@@ -868,6 +868,24 @@ 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.
 
+The conditional RRM-3 full run then fails. It ends at 10.00% validation
+accuracy with NaN validation loss, despite endpoint early/all-layer alignment
+`0.877435/0.848738`, feedback/forward cosine `0.999998`, and a tightly
+controlled `[1.000157,1.002447]` feedback/forward norm range. Training loss
+rises from `2.6107` to `1.5808e16` at epoch 92; the two learning-rate drops
+reduce the reported epoch mean to `8.9503e13` without recovering learning.
+It uses zero task-loss queries and `0.9969x` BP MACs, so neither cost nor final
+alignment explains away the failure. The frozen RRM branch is closed and no
+test endpoint is touched.
+
+This is direct evidence that endpoint alignment can be a false certificate for
+an intermittent tracker. If task weights move by `U_m` between mirror events,
+the ideal tracking error follows `E_(m+1)=(1-eta_M)E_m-U_m`; once task motion
+slows, the final error can vanish even after the high-rate trajectory has
+already destabilized the model. This baseline negative does not lower or raise
+the SDIL score because the separate KP substrate remains under its own frozen
+gate.
+
 ### Modified Kolen--Pollack reciprocal baseline
 
 The independently implemented Akrout et al. reciprocal-plasticity baseline