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| -rw-r--r-- | results/figs/figureS_tracking_failure_caption.md | 9 |
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diff --git a/results/figs/figureS_tracking_failure.pdf b/results/figs/figureS_tracking_failure.pdf Binary files differnew file mode 100644 index 0000000..6943f67 --- /dev/null +++ b/results/figs/figureS_tracking_failure.pdf diff --git a/results/figs/figureS_tracking_failure.png b/results/figs/figureS_tracking_failure.png Binary files differnew file mode 100644 index 0000000..f5344e7 --- /dev/null +++ b/results/figs/figureS_tracking_failure.png diff --git a/results/figs/figureS_tracking_failure_caption.md b/results/figs/figureS_tracking_failure_caption.md new file mode 100644 index 0000000..8a9a500 --- /dev/null +++ b/results/figs/figureS_tracking_failure_caption.md @@ -0,0 +1,9 @@ +**Supplementary Figure — Endpoint alignment is not a trajectory certificate.** +**a,** The sole frozen RRM-3 run becomes unstable before the first learning-rate +drop: mean training loss peaks at `1.5808e16` in epoch 92. Lower rates reduce +the loss to `8.9503e13` by epoch 200 but do not restore the classifier. +**b,** The final snapshot is deceptively reassuring: early/all-layer teaching +alignment is `0.877/0.849`, feedback/forward cosine is `0.999998`, and feedback +norms are controlled, yet validation accuracy is 10% and validation loss is +NaN. BP accuracy (`91.62%`) and unit ideal references are shown in gray. This +is a failed inherited residual-mirror baseline, not positive SDIL evidence. |
