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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-29 20:48:58 -0500 |
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| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-29 20:48:58 -0500 |
| commit | f13019b203b1f8ffe70dc941163bfdabc1009789 (patch) | |
| tree | 731d6981d835486cd3a569521a39ae81a741b9e6 /THREE_PART_EVIDENCE.md | |
| parent | 546e8c39f3654b0af5c026ae46dcd7d24336ca38 (diff) | |
docs: cite the coupled-learning source protocol
Diffstat (limited to 'THREE_PART_EVIDENCE.md')
| -rw-r--r-- | THREE_PART_EVIDENCE.md | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/THREE_PART_EVIDENCE.md b/THREE_PART_EVIDENCE.md index eef1477..725753d 100644 --- a/THREE_PART_EVIDENCE.md +++ b/THREE_PART_EVIDENCE.md @@ -48,6 +48,10 @@ The periodic grid ladder uses side lengths `4, 8, 12, 16, 24, 32`, or 32 to initial gate field, and component draw. Size-dependent update exposure is selected from ideal coupled learning only. +The circuit equations, released 4-by-4 task panel, and component-error scales +come from [Dillavou et al. (2025)](https://arxiv.org/abs/2505.22887). Larger +periodic grids preserve the same local device law and learning primitive. + Confirmed final classification error: | Edges | Clean | Same-RMS noise | Raw | Static calibration | SDIL | |