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April 24, 20260 citationsOpen Access

The Paton System — Structural Connection Map

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APAndrew John Paton

Key Points

  • The aim is to clarify the interrelations and structural coherence within the Paton System.
  • Defined the relationship between canonical equations and other system components.
  • Organized papers into a cohesive structural connection map.
  • Distinguished various elements such as operational applications and lifecycle dynamics.
  • Established a unified framework illustrating how publications within the Paton System interrelate.
  • Highlighted the system's internal coherence through structural laws and operational applications.
  • Demonstrated compatibility across various disciplines, including physics, AI, and biology.

Abstract

This document presents a structural connection map of the Paton System, defining the relationship between its canonical equations, operational methods, structural laws, geometric representations, lifecycle dynamics, and cross-domain applications. Unlike architectural or status representations, this map explicitly organises how individual papers within the Paton System interrelate as a unified research framework. The canonical equations (I–X) act as the reference spine, from which operational, structural, geometric, and domain-specific works extend in a layered structure. The document clarifies the internal coherence of the system by distinguishing between: Canonical definition (equations) Operational application (methods and operators) Structural laws (persistence and collapse conditions) Geometric representation (admissible regions and boundary structure) Lifecycle progression (recursive system evolution) Cross-domain instantiation (applications across physics, AI, biology, cognition, and organisational systems) This mapping establishes the Paton System as a non-fragmented, structurally integrated framework, demonstrating how distributed publications form a single coherent architecture governed by admissibility and constraint compatibility.

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Cite This Study

Andrew John Paton (2026) studied this question.

synapsesocial.com/papers/69eb0cb2553a5433e34b5abfhttps://doi.org/10.5281/zenodo.19693972
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