MEON/MSC Modified-Gravity Analysis of SPARC Rotation Curves: Occam Model Selection, Blind Prediction Tests, and Reproducibility Package

This archive presents version 0.2 of a reproducible analysis of SPARC galaxy rotation curves using MEON/MSC modified-gravity models. The previous version introduced a structure-dependent softening term η_soft linked to baryonic galaxy structure. This version extends that work into a broader MEON/MSC framework with explicit Occam-level model selection, blind prediction tests, residual diagnostics, and reviewer-oriented robustness checks. The analysis distinguishes between two roles of the model family. The constrained MEON model provides the strongest theory-level blind-prediction performance, while the flexible MSC Level-4 model gives the best calibrated phenomenological description when local environmental information, represented by an external field effect, is allowed. The results indicate that galaxy rotation curves are best described by a combination of baryonic mass structure, a nonlinear interpolation function, and local environmental effects. The package includes the reviewer report, Python code, summary tables, diagnostic plots, model-comparison outputs, and metadata required for reproducibility. This archive is intended as a preliminary public research release and does not claim a final fundamental theory of gravity or a definitive exclusion of dark matter. Instead, it provides a transparent computational framework for testing MEON/MSC-type modified-gravity models against galactic rotation-curve data.