Constrained Packing Dynamics (CPD): A Hardware-Based Unification Framework for Fundamental Physics

Modern physics is structurally fragmented: Quantum Field Theory treats particles as point excitations of abstract fields, General Relativity models gravity as curvature of acontinuous manifold, and unification efforts rely on higher dimensions or probabilistic formalisms. Constrained Packing Dynamics (CPD) proposes a different foundation: a discrete, three-dimensional mechanical substrate in which space, matter, forces, and constants emerge from constrained topology and lattice stress. This paper presents CPD as a hardware-level ontology, defines its core variables (P, q, C), and performs a direct structural comparison with dominant theories. CPD is shown to resolve singularities, matter-geometry dualism,and dimensional inflation by replacing abstract formalisms with finite-resolution mechanical structure.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-26
DOI
https://doi.org/10.5281/zenodo.18375932
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
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article

Constrained Packing Dynamics (CPD): A Hardware-Based Unification Framework for Fundamental Physics

Andrew Pasternak
Zenodo (CERN European Organization for Nuclear Research)
Modular Robots and Swarm Intelligence
article

Constrained Packing Dynamics (CPD): A Hardware-Based Unification Framework for Fundamental Physics

Andrew Pasternak
article en

Abstract

Modern physics is structurally fragmented: Quantum Field Theory treats particles as point excitations of abstract fields, General Relativity models gravity as curvature of acontinuous manifold, and unification efforts rely on higher dimensions or probabilistic formalisms. Constrained Packing Dynamics (CPD) proposes a different foundation: a discrete, three-dimensional mechanical substrate in which space, matter, forces, and constants emerge from constrained topology and lattice stress. This paper presents CPD as a hardware-level ontology, defines its core variables (P, q, C), and performs a direct structural comparison with dominant theories. CPD is shown to resolve singularities, matter-geometry dualism,and dimensional inflation by replacing abstract formalisms with finite-resolution mechanical structure.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 77%
Modular Robots and Swarm Intelligence
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