What question did this study set out to answer?

The research aims to formalize the principles of Computational Gravity and uncover the emergence of an informational coupling constant.

April 25, 2026Open Access

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Computational Gravity and the Coupling Constant: Emergence of the Informational Attractor κ ≈ 2.3

Key Points

The research aims to formalize the principles of Computational Gravity and uncover the emergence of an informational coupling constant.
Utilized the Möbius Falsification Methodology to assess various architectures.
Developed three interconnected modules focusing on theoretical foundations, engineering validation, and cosmological implications.
Identified a stable informational coupling constant, κ_VP ≈ 2.3 across various systems.
Unified concepts from entropic gravity, Landauer's limit, and information geometry to address structural inefficiencies.

Abstract

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).

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Computational Gravity and the Coupling Constant: Emergence of the Informational Attractor κ ≈ 2.3

Key Points

Abstract

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