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January 23, 20260 citationsOpen Access

Processes, Events, and the Domain of Physical Attribution

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JDJadran Damjanović

Key Points

  • The aim is to establish a clear criterion for differentiating physical processes from realized events in various systems.
  • Introduced a formal criterion to distinguish between processes and events.
  • Analyzed dynamics across multiple domains like quantum measurement and biochemical processes.
  • Defined specific conditions for event-level attribution based on trace stabilization and energetic costs.
  • Demonstrated that correlation and dynamical stability do not guarantee physical attribution.
  • Outlined conditions that must be met for an event to warrant physical description.
  • Showed the analysis applies across multiple scientific domains, revealing limitations in current descriptive frameworks.

Abstract

This work introduces a formal, operational criterion for distinguishing physical processes from realized events. While many natural and experimental systems exhibit rich, structured dynamics, not all such dynamics license event-level attribution. The central claim of this paper is that correlation, dynamical stability, or descriptive success alone are insufficient to ground physical realization. An event, in the sense developed here, is defined as a physically committed occurrence: one that leaves a stabilized trace, incurs an irreducible energetic cost, persists over a finite temporal window, and resists reversal without additional expenditure. These conditions jointly constrain when event-level language is physically warranted. The framework is developed at a general level and applied across domains, including quantum measurement, decoherence, biochemical catalysis, endocrine regulation, and biological signaling. In each case, the analysis demonstrates that systems may exhibit coherent, informative dynamics while remaining below the threshold required for physical attribution of outcomes. The result is a domain-of-validity criterion that does not modify underlying dynamics or introduce new ontology, but instead specifies when descriptive or statistical success becomes physically binding.

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Cite This Study

Jadran Damjanović (2026) studied this question.

synapsesocial.com/papers/69731047c8125b09b0d1ff0chttps://doi.org/10.5281/zenodo.18325364
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