What question did this study set out to answer?

This work aims to present a model that explains how spacetime's dynamics influence particle identity and measurement outcomes.

April 15, 2026Open Access

The Substrate Resonance Model: Measurement, Probability, and Particle Identity from a Dynamical Spacetime Substrate

Key Points

This work aims to present a model that explains how spacetime's dynamics influence particle identity and measurement outcomes.
Introduces the Substrate Resonance Model (SRM) as a framework for analyzing spacetime dynamics.
Derives the Born rule from fundamental principles.
Explores the connections between measurement, particle identity, and gravitational entropy.
Proposes a reconciliation-based account of measurement outcomes.
Demonstrates how stable resonant excitations in spacetime correspond to particle identity.
Establishes the Born rule as an invariant measure in this framework.

Abstract

This work presents the Substrate Resonance Model (SRM), an effective‑level framework in which spacetime is treated as a dynamical substrate whose stable resonant excitations give rise to particle identity, measurement outcomes, and probabilistic structure. The paper proposes a reconciliation‑based account of measurement, derives the Born rule as an invariant measure, and sketches connections to particle identity and gravitational entropy.This manuscript is intended as a conceptual foundations paper and is shared to invite expert feedback prior to journal submission.

The Substrate Resonance Model: Measurement, Probability, and Particle Identity from a Dynamical Spacetime Substrate

Key Points

Abstract

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