V92: Commit-Filtered Gravity and Conditional Redshift Loading — A Resolution of the Zero-Point Energy Problem through Selective Information Realization

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Authors: Satoshi Yoshida, A. ChatGPT, Gさんからの提案 Gemini, C Claude
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Abstract

We present a commit-based formulation of gravitational loading within the YAGC (Yoshida-AI-Generated Cosmology) framework, demonstrating that cosmic acceleration arises from the selective realization of information rather than from a fundamental vacuum constant. The Commit Principle states that only irreversibly realized quantities—differences, increments, or self-responses—contribute to gravitational dynamics, while virtual processes and uncommitted fluctuations do not gravitate. Building on the state-dependent update density introduced in V84, we show that photon recoil provides a minimal, model-independent proof of committed energy, while cosmological redshift losses contribute only conditionally through event-coupled interactions characterized by the fraction f_event, which is observationally constrained by the CMB optical depth (τ ≈ 0.054). Numerical verification across four stages confirms that the effective equation of state converges robustly to (w₀, wₐ) ≈ (−0.88, −0.04), largely independent of f_event. This robustness demonstrates that the expansion history is governed primarily by the V84 update-density engine rather than by the absolute energy scale of individual sources. The framework naturally resolves the 10¹²⁰ zero-point energy discrepancy by ontological clarification: uncommitted sums do not load onto gravity. The model introduces no new free parameters beyond observationally constrained fractions and yields falsifiable predictions compatible with current cosmological data. In this view, the universe does not gravitate all that exists, but only what becomes real.

Fields of Study & Subjects

Cosmology and Gravitation Theories Relativity and Gravitational Theory Noncommutative and Quantum Gravity Theories

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026