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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 15:08:36 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 15:08:36 -0500 |
| commit | 82d49f4b8b741669ab39100f4719719801064f20 (patch) | |
| tree | 7c7e7a1f58338508e89dab47b3bdf43eb7bf10d0 /RESIDUAL_MIRROR.md | |
| parent | 6fb38aabad3ce33a263414ecaf4eef0474c66045 (diff) | |
results: record residual mirror full failure
Diffstat (limited to 'RESIDUAL_MIRROR.md')
| -rw-r--r-- | RESIDUAL_MIRROR.md | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/RESIDUAL_MIRROR.md b/RESIDUAL_MIRROR.md index ab13eb8..3f90914 100644 --- a/RESIDUAL_MIRROR.md +++ b/RESIDUAL_MIRROR.md @@ -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. |
