Causal Memory Gravity (CMG/DPN): Galactic Calibration from SPARC and Implications for Cosmology and Gravitational Waves

This review presents a comprehensive and self-contained exposition of CausalMemory Gravity (CMG), a theoretical framework in which gravitational phenom-ena emerge as a collective, causal memory response of an underlying discrete net-work. The review integrates three complementary aspects of the theory: (i) thetheoretical foundations, including the core postulates, linear response formalism,and infrared normalization; (ii) numerical evidence from discrete network simu-lations demonstrating memory-dominated, non-propagational dynamics; and (iii)phenomenological implications across astrophysical and cosmological scales, fromgalactic rotation curves to large-scale structure growth. Throughout, we emphasizeparameter economy, cross-regime consistency, and falsifiability. The framework in-troduces a single fundamental scale—the asymptotic memory relaxation rate β∞—which governs all phenomenological predictions. We explicitly delineate the domainof validity, enumerate open problems, and identify observational tests that couldfalsify the theory. This review is intended to provide a complete, critical assessmentof CMG as a conceptually distinct approach to gravitational phenomena.