AI & Computingpreprint2026-08-30

Protomaton-Holographic Transcription Cosmology (PHTC): A Unified Model from Superconductivity to Cosmic Scales (Emergency patch)

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Abstract

The author wishes to begin by acknowledging an error: in earlier versions of this work, several references were misidentified or incorrectly cited. The present version (v4) corrects these errors entirely and no longer relies on any unpublished or misattributed sources. The author takes full responsibility for this oversight. This paper presents the Protomaton-Holographic Transcription Cosmology (PHTC) model — a unified, zero-free-parameter framework in which the observable universe emerges from two sequential holographic transcriptions of a self-flowing essence (the Protomaton) on a positively curved screen. All seven fundamental constants are derived from projection geometry without external inputs. The model provides a coherent origin for dark matter, dark energy, mass generation, magnetic monopole suppression, friction, biological homochirality, quantum tunneling, vacuum fluctuations, and macroscopic quantum coherence. The unified action includes a nonlinear response term that naturally repairs extreme-condition deviations, and the model strictly degenerates to General Relativity, the Standard Model, \(\Lambda\)CDM, and Newtonian gravity in their respective low-energy limits. Additional projection-based interpretations are given for black holes, white holes, wormholes, wave modes, energy hierarchies, and ball lightning. The framework yields over 20 testable predictions across cosmic, particle, and condensed-matter scales. Two 2026 experimental results — NbSe₂ superconductor \(T_c\) enhancement via terahertz vacuum coupling and CeRu₄Sn₆ zero-field topological Hall enhancement — are shown to be consistent with PHTC predictions based on publicly available reports. This version (v4) supersedes all previous versions and is fully self-contained. The earlier version (v3) is archived at DOI: 10.5281/zenodo.22152791.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-30

Authors: Haoxiang Tang