Relational Memory, Spacetime Geometry, and Field-Based Information

This paper develops an interpretive and operational framework in which physical “memory” is defined as persistent relational constraint rather than as an internal record carried by an isolated object. The proposal is motivated by three established facts: quantum interactions can generate correlations that survive spatial separation; open-system dynamics redistribute locally accessible information into system–environment correlations; and spacetime geometry in general relativity constrains later motion through a dynamical field determined by matter and energy. These facts do not imply that particles remember, that entanglement is a communication channel, or that curvature literally stores a semantic history. They do, however, motivate a precise cross-domain question: when does a past interaction leave a measurable relational structure that continues to constrain future observables? We distinguish this operational notion from stronger metaphysical claims and from biological or cognitive memory. Standard correlation measures, including mutual information and correlation functions, are proposed as candidate observables for quantifying persistence, while a persistence timescale separates transient correlation from durable relational structure. The framework is then applied cautiously to quantum systems, fields, spacetime, biology, and cognition. Speculative ideas such as frequency-selective persistence and curvature–coherence coupling are reformulated as hypotheses that must predict deviations from standard theory to become new physics. The resulting account is not presented as a replacement for quantum mechanics, quantum field theory, general relativity, or neuroscience, but as a disciplined vocabulary and research program for comparing information persistence across scales.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-13
DOI
https://doi.org/10.5281/zenodo.23350510
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
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article

Relational Memory, Spacetime Geometry, and Field-Based Information

Darko Kantoci
Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
article

Relational Memory, Spacetime Geometry, and Field-Based Information

Darko Kantoci
article en

Abstract

This paper develops an interpretive and operational framework in which physical “memory” is defined as persistent relational constraint rather than as an internal record carried by an isolated object. The proposal is motivated by three established facts: quantum interactions can generate correlations that survive spatial separation; open-system dynamics redistribute locally accessible information into system–environment correlations; and spacetime geometry in general relativity constrains later motion through a dynamical field determined by matter and energy. These facts do not imply that particles remember, that entanglement is a communication channel, or that curvature literally stores a semantic history. They do, however, motivate a precise cross-domain question: when does a past interaction leave a measurable relational structure that continues to constrain future observables? We distinguish this operational notion from stronger metaphysical claims and from biological or cognitive memory. Standard correlation measures, including mutual information and correlation functions, are proposed as candidate observables for quantifying persistence, while a persistence timescale separates transient correlation from durable relational structure. The framework is then applied cautiously to quantum systems, fields, spacetime, biology, and cognition. Speculative ideas such as frequency-selective persistence and curvature–coherence coupling are reformulated as hypotheses that must predict deviations from standard theory to become new physics. The resulting account is not presented as a replacement for quantum mechanics, quantum field theory, general relativity, or neuroscience, but as a disciplined vocabulary and research program for comparing information persistence across scales.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 19%
Quantum Mechanics and Applications
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