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April 23, 20260 citationsOpen Access

On the Essence of Unknown Atmospheric Manifestations Based on Dimensional Ontology and the Pythagorean Unified System

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ZWZhenmin Wang

Key Points

  • The aim is to construct a framework for understanding persistent unknown atmospheric manifestations.
  • Developed a logically closed framework using Dimensional Ontology and the Pythagorean Unified System.
  • Conducted structural deduction and exhaustive elimination of conventional explanations.
  • Analyzed the features of these phenomena based on their geometric and hierarchical properties.
  • Confirmed that these manifestations are autonomous high-dimensional life forms.
  • Demonstrated that their characteristics are derived from a hierarchical conical structure.
  • Provided a scientifically grounded explanation that counters supernatural interpretations.

Abstract

Persistent, cross‑culturally observed unknown atmospheric manifestations—including the dragon image in Eastern traditions—show stable features that cannot be fully explained within standard three‑dimensional physics. Mainstream attitudes often deny such phenomena or interpret them as supernatural, avoiding serious scientific investigation. Based on Dimensional Ontology, Inertial Cognitive Hierarchy, and the Pythagorean Unified System (V9.92), this paper constructs a logically closed, self‑consistent framework. Through exhaustive elimination of conventional explanations and strict structural deduction, this paper confirms that these manifestations are complete, autonomous high‑dimensional life forms. Their appearance, motion, symmetry, and behavior are necessarily derived from the hierarchical conical structure, conical coupling layer, and geometric symmetry of the unified cosmic system. Refusing to recognize dimensional hierarchy and high‑dimensional life is a dogmatic attachment to a flat three‑dimensional worldview, which is inconsistent with modern observational facts. This paper provides a natural, non‑supernatural, structurally consistent foundation for understanding such long‑standing natural phenomena.

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Cite This Study

Zhenmin Wang (2026) studied this question.

synapsesocial.com/papers/69e9baa885696592c86ecc72https://doi.org/10.5281/zenodo.19683873
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