This research formalizes the framework of Computational Gravity, proposing that information processing exhibits constraint-driven behavior analogous to physical dissipative systems. Through the Möbius Falsification Methodology, we report the stable emergence of a dimensionless informational coupling constant, κVP ≈ 2. 3, across heterogeneous architectures. This work unifies concepts from Verlinde’s entropic gravity, Landauer’s limit, and information geometry to resolve structural inefficiencies in distributed consensus. This deposit includes three interconnected modules: 1. Computational Gravity (Theoretic-Mathematical Core), 2. Irrational-Phase Scheduling (Engineering and Latency Validation), and 3. Physical Interpretation (Cosmological Implications and Hubble Tension resolution).
Mariano Panzano Caballé (Sun,) studied this question.