From 9f05c59fe8884b1900a36c80a652117414d9c0a4 Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Sat, 29 Aug 2026 13:23:23 -0500 Subject: fig: plot physical grid bias crossover --- visual-composer/physical-grid-p5-contract.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 visual-composer/physical-grid-p5-contract.md (limited to 'visual-composer') diff --git a/visual-composer/physical-grid-p5-contract.md b/visual-composer/physical-grid-p5-contract.md new file mode 100644 index 0000000..1c7b448 --- /dev/null +++ b/visual-composer/physical-grid-p5-contract.md @@ -0,0 +1,15 @@ +# Physical-grid P5 visual contract + +- Artifact: two-panel classification-error figure. +- Target format: full-width paper figure; editable SVG/PDF plus PNG preview. +- Core claim: local state-dependent residualization restores physical local learning and composes with overclamping. +- Reviewer question: does SDIL improve downstream classification over raw learning, constant calibration, and overclamping under the same component imperfections? +- Evidence layer: main result. +- Source data: `results/physical_bias/p5_grid_bias_crossover.json`. +- Statistics: eight trials per input diameter (two label rotations by four device draws); show every trial and the arithmetic mean, without inferred uncertainty intervals. +- Panel map: (a) raw, per-edge constant calibration, and SDIL under standard clamping; (b) overclamping and overclamping plus SDIL. +- Labels: classification error (%), input diameter (mV), method names, eight trials per diameter. +- Caption role: state the physical-grid setting, trial count, component-error model, and perfect-result counts without extending the evidence to hardware measurements. +- Output: `results/figs/physical_grid_p5.{svg,pdf,png}`. +- Traceability: plotting code reads the committed JSON directly; no values are copied by hand. + -- cgit v1.2.3