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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 15:08:36 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 15:08:36 -0500
commit82d49f4b8b741669ab39100f4719719801064f20 (patch)
tree7c7e7a1f58338508e89dab47b3bdf43eb7bf10d0 /RESIDUAL_MIRROR.md
parent6fb38aabad3ce33a263414ecaf4eef0474c66045 (diff)
results: record residual mirror full failure
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@@ -118,3 +118,32 @@ accuracy gap. This makes the result more useful as a strict baseline: direction
alone is not a surrogate for trajectory equivalence, especially when feedback
tracks changing forward weights at discrete intervals. Because RRM is inherited
predictive weight estimation, this pass does not change the reviewer score.
+
+## Audited RRM-3 outcome
+
+The sole frozen full run from source revision `8a5c104` fails decisively:
+
+| metric | RRM-3 | frozen requirement/reference |
+|:--|--:|--:|
+| validation accuracy | **10.00%** | at least 88%; BP is 91.62% |
+| validation loss | **NaN** | finite |
+| early / all-layer endpoint alignment | 0.877435 / 0.848738 | early at least 0.50 |
+| endpoint feedback/forward cosine | 0.999998 | diagnostic only |
+| feedback/forward norm range | [1.000157, 1.002447] | diagnostic only |
+| MAC ratio to BP | 0.996857x | at most 1.15x |
+| task-loss queries for feedback | 0 | exactly 0 |
+
+The task trajectory, not the endpoint tracking snapshot, identifies the
+failure. Mean training loss grows from `2.6107` at epoch 1 to a peak of
+`1.5808e16` at epoch 92 and remains `9.6549e15` at epoch 100. Stepwise learning
+rate drops subsequently reduce it to `8.9503e13` by epoch 200 without restoring
+the classifier. Thus an almost perfect final Q/W cosine and controlled norm do
+not certify that feedback tracked the fast task-weight trajectory when the
+destructive updates occurred.
+
+The ideal recurrence in `THEORY.md`,
+`E_(m+1)=(1-eta_M)E_m-U_m`, explains the audit: intermittent tracking error is
+driven by cumulative forward motion between mirror events, but a quiet or
+low-rate tail can erase endpoint error geometrically. RRM-3 therefore closes
+without cadence/rate rescue, opens no innovation experiment, touches no test
+seed, and leaves the strict reviewer score at 5/10.