Complexity Inversion in a Selective Elimination Algorithm: Empirical Evidence from a 30,800-Trial Scaling Study

Reproducibility artifact for the manuscript "Complexity Inversion in a Selective Elimination Algorithm: Empirical Evidence from a 30,800-Trial Scaling Study" submitted to the Journal of Supercomputing.

This archive contains all materials required to replicate the reported results, including: (i) trial-level CSV outputs for Phase A (pilot) and Phase B (main evaluation) across problem sizes L ∈ {20, 25, 30, 35, 40, 45, 50}; (ii) the locked pilot thresholds file (pilot_thresholds.json); (iii) the algorithm configuration file (config.json) specifying all hyperparameters used in the scaling sweep; (iv) scripts to regenerate all tables and figures reported in the manuscript; and (v) supporting benchmark data for 2D and 3D lattice-constrained energy minimization tasks.

The primary artifact is computational-complexity-amplification-main.zip. Extract this archive to access all files.