Code and data for "A Possibility-Space Derivation of a Planck-Softened Correlation Kernel for Holographic Entropy Deficit"

Reproducibility artifact for the paper "A Possibility-Space Derivation of aPlanck-Softened Correlation Kernel for Holographic Entropy Deficit" (submitted toEntropy, 2026). Contains the scripts that generate every figure and computed quantity in the paper,all 611 de-duplicated Wang-Landau runs with their correlation-matching residuals, thefitted inverse-Ising coupling matrices at each lattice size, and the x-scan behindFigure 5 with a residual recorded for every point. The binary multi-information c_Ising is computed by exact enumeration for L <= 5 and byWang-Landau sampling for L >= 6. Rigorous lower bounds on the thermodynamic limit comefrom strip transfer-matrix calculations. Two things a user should read before quoting any number, both documented in the README:the acceptance criterion (correlation-matching residual below 0.02) and which runs failit, and the distinction between the open and periodic lattice conventions, which differby roughly 30 percent at L = 5 and are not interchangeable. Python 3.9+ with numpy, scipy and matplotlib. No other dependencies.