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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-29 20:05:59 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-29 20:05:59 -0500 |
| commit | 3296d00886028a8924b23e27b311fefb27f182c2 (patch) | |
| tree | 0178d41e69a3679a33a4460573671ac1772ebedf /results/figs/physical_bias_state_dependence_caption.md | |
| parent | 4fd7a1bb9976a4cd2d48d4f57b20cdb9ef135408 (diff) | |
docs: correct physical drift evidence boundary
Diffstat (limited to 'results/figs/physical_bias_state_dependence_caption.md')
| -rw-r--r-- | results/figs/physical_bias_state_dependence_caption.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/results/figs/physical_bias_state_dependence_caption.md b/results/figs/physical_bias_state_dependence_caption.md index 51d63dc..ed11dc0 100644 --- a/results/figs/physical_bias_state_dependence_caption.md +++ b/results/figs/physical_bias_state_dependence_caption.md @@ -12,4 +12,5 @@ model in the two task pairs. The direction holds for terminal headrooms of 30, 50, 80 and 100 mV using unsmoothed centered-difference velocities. This descriptive reanalysis establishes a measured state-dependent component representable by the proposed local predictor. It does not demonstrate that -SDIL improves physical task learning; that is the prospective P1 test. +SDIL improves task learning on fabricated hardware; downstream SDIL evidence +in this repository uses digital or hardware-realistic simulation. |