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March 8, 2026Open Access

Bypassing Shannon's Limit: A Kolmogorov Complexity Approach to Stateless Inverse Data Mapping and Zero-Storage Materialization (Version 2.0: Official Establishment of the 4th-Gen V2M Reconstruction Communication Protocol)

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Authors

MJMin Ho JungKorea Soongsil Cyber ​​University

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Implication

The framework reveals data transmission improves by 24-byte parameters, suggesting a shift away from lossless standards.

Key Points

  • This research aims to redefine data transmission limits set by Shannon's theory using a new communication protocol.
  • Introduces the V2M Architecture and Reconstruction Communication Protocol.
  • Utilizes high-dimensional Mersenne Prime topological lattices and deterministic inverse mappings.
  • Mathematically evaporates data from sender to receiver without traditional compression.
  • Proves effective data transmission beyond Shannon's Limit.
  • Demonstrates use of ultra-compressed 24-byte parameters rather than raw data files for communication.
  • Shifts focus from physical storage limitations to algorithmic execution complexity.

Cite This Study

Min Ho Jung (2026) studied this question.

synapsesocial.com/papers/69acc5b032b0ef16a4050559https://doi.org/10.5281/zenodo.18883124
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Bypassing Shannon's Limit: A Kolmogorov Complexity Approach to Stateless Inverse Data Mapping and Zero-Storage Materialization2026
  2. 2Data Materialization over Transmission: Kolmogorov Inverse Mapping via M51 High-Dimensional Lattice Resonance and JM Deterministic Generators2026
  3. 3Zero-Storage Distributed Computing Architecture through Stateless Inverse Mapping of Massive Data and Quantum Entanglement-based Materialization2026
  4. 4Bypassing Shannon's Limit: Zero-Payload Topological Communication via Latent Spatiotemporal Resonance (Phase 4.1 Empirical Proof)2026
  5. 5Empirical Proof of Zero-Payload Topological Communication: Focusing on Native Engine Architecture and the J.M. Resonance Theorem2026