docs: explain mixed-traffic instability

1 files changed, 12 insertions, 0 deletions

diff --git a/RESULTS.md b/RESULTS.md
index 743e5bd..84ccae6 100644
--- a/RESULTS.md
+++ b/RESULTS.md
@@ -937,6 +937,18 @@ alignment, feedback-tracking, and usable matched-norm checks fail. MT-2 and the
 five-seed test confirmation remain untouched. This closes the controlled
 standard-ResNet accept recovery and leaves the reviewer estimate at 5/10.
 
+The clean training-only failure-localization records at revision `e996231`
+evaluate neither validation nor test data. They identify the first
+training-active nonfinite tensors as stem `W[0]` and its momentum at step 23
+for raw, step 69 for norm-matched raw, and step 74 for innovation. Predictor
+slopes, feedback weights, and feedback momenta remain finite when each
+diagnostic stops. At innovation step 1, loss is
+2.91 and used-signal RMS is 0.00477; by step 16 they reach `4.14e5` and 1.76.
+Thus norm matching and subtraction substantially delay, but do not stabilize,
+the forward local feedback mode. The linearized update in `THEORY.md` exposes
+the multiplicative term `D W C` and proves that any positive effective scalar
+mode has momentum transition spectral radius above one.
+
 ## 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>`.