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July 24, 20260 citationsOpen Access

Aligning Parallel Execution and Data Integrity with the Laws of Physics from Indeterminacy to Invariance

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RYRichard Yegian

Key Points

  • The research aims to develop an integrated architecture that improves data integrity and processing speed by aligning digital systems with physical laws.
  • Developed a physical-digital architecture using thermodynamic constraints and timing variations in hardware.
  • Introduced a cryptographic stack mapping physical invariants into digital ledger states.
  • Empirically demonstrated the concept through the tokenization of a historical text.
  • Enabled asynchronous parallel processing, effectively bypassing serialization bottlenecks.
  • Established data integrity against AI manipulation and quantum threats through the new framework.
  • Demonstrated acceleration of problem-solving by integrating fundamental physical mechanics.

Abstract

This research presents an integrated physical-digital architecture that bridges the divide between fluid physical realities and rigid digital structures. By leveraging thermodynamic constraints and natural timing variations in concurrent hardware, the system enables asynchronous parallel processing that bypasses traditional serialization bottlenecks. Simultaneously, it introduces a novel physical-to-digital cryptographic stack that maps physical invariants—such as thermodynamic entropy and quantum crystal lattices—directly into the ledger state to ensure absolute data integrity against AI manipulation and quantum threats. The framework is empirically demonstrated through the cryptographic tokenization of Thomas Le Seur’s 1749 text Elementa Cosmographiæ, proving that data integrity and complex problem-solving can be accelerated by aligning with fundamental physical mechanics rather than restrictive digital controls.

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Cite This Study

Richard Yegian (2026) studied this question.

synapsesocial.com/papers/6a6300c2395161722cd159f1https://doi.org/10.17605/osf.io/nyx2b
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