docs: record reciprocal KP full pass

1 files changed, 25 insertions, 1 deletions

diff --git a/KP_BASELINE.md b/KP_BASELINE.md
index 78bb756..27fd5ff 100644
--- a/KP_BASELINE.md
+++ b/KP_BASELINE.md
@@ -96,4 +96,28 @@ All epoch losses and tracking diagnostics are finite. The run uses
 require exact weight equality to obtain a strong teaching direction. Unlike
 the failed intermittent-mirror trajectory, these alignment gates cover the
 constant-LR training interval rather than only a decayed-LR endpoint. KP-2 is
-opened without changing any optimizer or feedback setting.
+opened without changing any optimizer or feedback setting and subsequently
+passes at those exact settings.
+
+## Audited KP-2 outcome
+
+The sole frozen full record from source revision `44b110f` passes all seven
+gates:
+
+| metric | KP-2 | frozen requirement/reference |
+|:--|--:|--:|
+| epoch-200 validation accuracy | **91.26%** | at least 88%; matched BP is 91.62% |
+| validation loss | 0.429013 | finite |
+| early-third teaching alignment | 0.999397 | at least 0.80 |
+| final feedback/forward cosine | 0.999663 | at least 0.95 |
+| epoch-151--200 mean feedback cosine | 0.999663 | at least 0.95 |
+| final feedback/forward relative error | 0.025458 | diagnostic |
+| MAC ratio to matched BP | 1.3261x | at most 1.40x |
+| task-loss queries for feedback | 0 | exactly 0 |
+
+Every epoch loss and tracking diagnostic is finite. The run uses
+`1.451874816e15` MACs, 2.163 GB peak allocated memory, and 5579.7 s on a GTX
+1080. It is 0.36 accuracy points below matched BP while using no reverse-mode
+gradient or loss query to train its feedback path. The result opens MT-1 but
+does not change the 5/10 reviewer score: reciprocal KP is inherited substrate,
+not evidence that somato-dendritic innovation is load-bearing.