This dossier presents the MEON Fractal-First Diagnostic Framework, a reproducible audit pipeline developed to detect, quantify, and compare scale-hierarchical structure in gravitational lensing and cosmological field data. Across the R33–R39 audit series, the framework was applied to 25 public Hubble Frontier Fields Kappa reconstructions, Bullet-Cluster proxy layers, CMB temperature fields, neutral null models, external WebSky convergence simulations, parametric matched-cluster reconstruction ensembles, and a reusable simulation stress-test protocol. The results show robust fractal-like and scale-correlated structure in real HFF Kappa maps, broad differences from external simulation convergence patches, and strong deviations from simplified matched-cluster reconstruction ensembles. At the same time, the CMB control audit remains broadly consistent with standard Gaussian-CMB expectations, supporting MEON as a diagnostic tool rather than an indiscriminate anomaly detector. The present work does not claim a final falsification of ΛCDM or a completed replacement cosmology. Instead, it establishes MEON as an operational research framework for identifying non-trivial scale-structure signatures, testing simulations against observed Kappa-field fingerprints, and generating falsifiable next-stage benchmarks using matched N-body or hydrodynamic cluster simulations.
Asil Karahan (Thu,) studied this question.