Information-Theoretic Anti-Gravity Propulsion: Theoretical Foundation for the Podkletnov Effect in the Universal Model Framework.

This work presents a comprehensive theoretical and computational framework for information‑theoretic gravitational modulation and propulsion within the Universal Model Framework (UMF). Building on UMF’s emergent‑gravity formulation, we show that the effective gravitational constant G_{\mathrm{eff}} can be modulated through controlled variations of information density in superconducting, high‑coherence systems. Applying this framework to the historically controversial Podkletnov experiments, we derive quantitative predictions for the reported 0.5–2.1% weight‑reduction effect and identify a prime‑indexed resonance spectrum that predicts the observed 3.8 MHz maximum to within 0.3%. Using first‑principles superconducting parameters, we compute the coupling constant \alpha =(1.8\pm 0.2)\times 10^{-4} and perform 3D finite‑element simulations of coupled electromagnetic and information‑density fields, obtaining peak G_{\mathrm{eff}} suppression of 1.1\pm 0.2\% under Podkletnov‑equivalent conditions. Version 5 integrates recent UMF quantum‑gravity completion protocols, extending propulsion theory beyond scalar G_{\mathrm{eff}} modulation to five distinct mechanisms including holonomy‑tensor control, mass‑coherence cancellation, geodesic‑gradient propulsion, and Weyl‑tensor tidal vectoring. The framework provides 19 falsifiable predictions spanning frequency response, geometric scaling, chirality reversal, and vacuum‑null conditions. This work establishes a unified, testable theoretical basis for gravitational modulation and outlines an experimental roadmap from near‑term replication to long‑term high‑coherence propulsion architectures. This project was developed by Marco Gericke, with structured assistance from a large language model. All scientific concepts and conclusions were generated, verified, and interpreted by the author. Dedicated to Peter Plichta, who envisioned the code before it could be computed.