CSQIT 10.4.5: Axiomatic Framework for Quantum Gravity with Formal Proofs

CSQIT 10.4.5 is a physics theory framework aiming to unify quantum mechanics and general relativity, built from nine sub-axioms. All 13 core theorems have been formally verified using Lean 4, with zero remaining unproven assumptions, and 15 quantitative predictions have been numerically simulated. The framework was authored by 珺 张 and released on figshare under an MIT license in March 2026.

Use Cases

• Studying the derivation of the Standard Model gauge group and three-generation fermion structure based on the described operad and category theory framework.
• Investigating the proposed dark energy mechanism and its oscillatory equation of state w(a) = -1 + ε sin(ω ln a + φ₀).
• Verifying the formal proofs of core theorems using the provided, fully compiled Lean 4 code.
• Analyzing the discrete-to-continuous spacetime correspondence constructed via Regge calculus and its numerical convergence.
• Exploring the implications of the nine independent sub-axioms, particularly the amplitude injectivity axiom (C.4), for foundational physics.

Strengths

• All 13 core theorems have undergone complete AI formal pre-verification with Lean 4, eliminating all unproven 'sorry' statements.
• The framework includes 15 quantitative predictions that have been numerically simulated with strict error analysis distinguishing statistical from systematic error.
• The 133.7 KB release contains fully runnable code for appendices A, B, and C, confirming the formal verification is operational.

Limitations

• The dataset's content is primarily theoretical and textual; the actual data files and their structure (e.g., simulation outputs) are not described.
• Row count and column-level documentation are absent, making it difficult to assess the scale and structure of any included numerical data.
• The description is highly specialized, which may limit accessibility for a general AI/ML audience without a background in theoretical physics.

Provenance

Source

figshare, authored by 珺 张.

Collection Method

Theoretical derivation and formal verification, as described in the accompanying paper.

Freshness

Last updated 2026-03-17 14:29:06.