fig: summarize the full physical grid crossover

1 files changed, 3 insertions, 4 deletions

diff --git a/visual-composer/physical-grid-p5-contract.md b/visual-composer/physical-grid-p5-contract.md
index 1c7b448..f938f1c 100644
--- a/visual-composer/physical-grid-p5-contract.md
+++ b/visual-composer/physical-grid-p5-contract.md
@@ -5,11 +5,10 @@
 - 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.
+- Source data: `results/physical_bias/p5_full_grid_bias_crossover.json`.
+- Statistics: 32 trials per input diameter (eight 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}`.
+- Output: `results/figs/physical_grid_p5_full.{svg,pdf,png}`.
 - Traceability: plotting code reads the committed JSON directly; no values are copied by hand.
-