Observation as Operational Crystallization: An Epistemic Constraint and Measurement‑Design Framework for Dissolving Quantum Paradoxes

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Authors: Kazunori Ohumi
Cited by: 0

Abstract

Quantum mechanics remains conceptually unsettled due to the persistent "Reification Trap” the categorical conflation of epistemology (how outcomes are registered as discrete records) with ontology (what exists). This paper develops the Crystallization Model, grounded in a structural isomorphism with detector reception, to argue that quantum paradoxes are not ontological mysteries but boundary conditions of finite-bandwidth observation. Under this "It from Wave" framework, "particle" outcomes are reinterpreted as stabilized crystallizations of an underlying continuous relational field, while wavefunction "collapse" is reconceived as an epistemic restriction of the accessible informational band. Beyond the subatomic, the study identifies a civilizational analogue to this error: the reification of digitized outputs (KPIs, tokens) as ontic primitives, leading to "Structural Self-Containment" and a pathological "Over-Immunity" against generative friction. To restore systemic vitality, the paper introduces Life OS as a normative framework for AI governance. Central to this architecture is the protection of Uzuki(疼き; aching)—the generative dissonance—the deliberative latency—as the essential drivers of emergence. The paper concludes that civilizational robustness is found not in the rigidity of the "Wall" (Machine OS), but in an "Internal Luminous Presence" that allows for the Affirmation of Life as a self-justifying resonance. By shifting from the "Weakness of Rigidity" to the "Strength of Resonance," the paper offers a measurement-design path for reclaiming human generativity in an automated age.

Fields of Study & Subjects

Quantum Mechanics and Applications Philosophy and Theoretical Science Philosophy and History of Science

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Document type
Preprint