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-rw-r--r--protocol/protocol.py10
1 files changed, 7 insertions, 3 deletions
diff --git a/protocol/protocol.py b/protocol/protocol.py
index 4298756..185c4f2 100644
--- a/protocol/protocol.py
+++ b/protocol/protocol.py
@@ -166,9 +166,13 @@ def cross_batch_direction_stability(
the same regardless of which samples are in the batch. That is the
fingerprint of a **sample-invariant global drift** — i.e. the reference
vector against which Γ is computed is NOT per-sample credit, it is a
- constant artifact of the trained network's geometry. On healthy
- BP-trained or EP-trained networks this value is small (~0.05-0.18); on
- DFA/SB/CB pre-LN ResMLPs we see ~0.5-0.99.
+ constant artifact of the trained network's geometry. In our 5-method
+ CIFAR-10 audit at K=10 batches of 128 samples, healthy BP/EP networks
+ cluster near zero with all six values in [-0.04, +0.12]; drift-dominated
+ DFA/SB/CB pre-LN ResMLPs reach high tails up to +0.99 (5/9 of the nine
+ degen values exceed the 0.30 default cutoff). See
+ results/protocol_audit/audit_table_s42_s123_s456.json for the
+ per-method per-seed values.
Args:
model: same contract as the other diagnostics.