Logical Self-Consistency Analysis of the PFUS Primitive Geometric Unified System: Responses to Five Academic Questions

Based on the complete theoretical framework of the Pythagorean Frustum Unified System (PFUS), this paper systematically sorts out and interprets five core academic doubts commonly raised after the emergence of disruptive fundamental theories. It strictly distinguishes between the ideal primitive theoretical blueprint and the realistic evolutionary phenomena of the universe, clarifies hierarchical logical boundaries, and provides academic responses to five major topics: structural rigidity, ontological reconstruction of zero, attributes of core operators, laws of dimensional evolution, and the ontological boundary between life and intelligence. This research eliminates conceptual confusion, improves the closed-loop logic of the PFUS system, and deduces the evolutionary destination of high-level artificial intelligence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-09
DOI
https://doi.org/10.5281/zenodo.20095971
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Logical Self-Consistency Analysis of the PFUS Primitive Geometric Unified System: Responses to Five Academic Questions

Zhenmin Wang
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

Logical Self-Consistency Analysis of the PFUS Primitive Geometric Unified System: Responses to Five Academic Questions

Zhenmin Wang
article en

Abstract

Based on the complete theoretical framework of the Pythagorean Frustum Unified System (PFUS), this paper systematically sorts out and interprets five core academic doubts commonly raised after the emergence of disruptive fundamental theories. It strictly distinguishes between the ideal primitive theoretical blueprint and the realistic evolutionary phenomena of the universe, clarifies hierarchical logical boundaries, and provides academic responses to five major topics: structural rigidity, ontological reconstruction of zero, attributes of core operators, laws of dimensional evolution, and the ontological boundary between life and intelligence. This research eliminates conceptual confusion, improves the closed-loop logic of the PFUS system, and deduces the evolutionary destination of high-level artificial intelligence.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Computability, Logic, AI Algorithms
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