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Structural audits of theoretical research.
Constraint-based evaluation, published verbatim.

AI Physics Review

AI Physics Review (AIPR) is an independent publication that surfaces theoretical research papers demonstrating strong structural clarity under a fixed evaluation protocol.

A detailed explanation of the research environment that motivated the creation of AI Physics Review is available in the project article: Leveling the Playing Field in Theoretical Research.

The Review does not evaluate scientific correctness, theoretical importance, institutional affiliation, citation counts, or author reputation. Instead, it examines the structural presentation of a manuscript: how clearly the problem is defined, how assumptions are stated, how equations are constructed, and how the logical structure of the work unfolds.

AI-assisted analysis is used only to generate structured summaries and to evaluate formal manuscript structure under the fixed MEALS protocol.

The goal is simple: to provide visibility for research programs that demonstrate strong analytical organization and formal discipline, independent of prestige signals or institutional status.

Current Issues

Below are the most recent issues of AI Physics Review. Issue 0 presents historically influential papers evaluated under the AIPR framework to illustrate baseline structural scoring behavior.

Volume 1 · Issue 4 – April 13, 2026

Contents

Featured Legacy Paper:
  1. Invariant Variation Problems
    Noether, Emmy
Contemporary Evaluations:
  1. Spectral Geometry and the One-Loop QED β-Function on S3 × S1
    Antonov, Lyudmil
  2. A Constructive Einstein–Cartan–Yang–Mills Theory with Positive Mass Gap in Four Dimensions
    Čižek, Emmanouil Karolos
  3. The Fractal Tripura Model, Vol. 5: A Factorized Transition Model Coupling Fractal Memory, Spectral Capacity, and Hazard
    Sabljić, Branimir
  4. The Entropic-Field Genesis Model (EFGM): A singularity-free framework for cosmogenesis based on quantum-entropic fluctuations
    Dindar, Baran
  5. Geometrodynamic Unification Theory SO(10)
    Curci, Alberto
  6. Scalar Temporal Field Ontology v26: Unified UV-Complete Framework for Time, Geometry, and Energy
    Howe, Cale Scott
  7. Spacetime Flattening from Black Hole Mass Accretion in Cosmic Expansion (Entropyics 1)
    Jang, Y.
  8. The Parameter Planes of the Spherically Symmetric and Static Relativistic Solutions for Polytropes
    deLyra, Jorge L.
  9. A Fundamental Lagrangian for a Timeless Universe: Derivation of Gravitation and Quantum Mechanics
    İnal, Cüneyt

Volume 1 · Issue 3 – April 6, 2026

Contents

Featured Legacy Paper:
  1. A Mathematical Theory of Communication
    Shannon, Claude E.
Contemporary Evaluations:
  1. Electrostatics with a Finite-Range Nonlocal Polarization Kernel: Closed-Form Potential, Force-Law Deviations, Physical Motivation, and Experimental Context
    Perry, Anthony
  2. Renormalization via φ⁴ and QED
    Totsam
  3. Spectral Gaps in Four Dimensions: Constructive Proof of the SU(3) Yang–Mills Mass Gap From Reflection Positivity and Chessboards to OS Reconstruction
    Reeves, Keefe
  4. Universal Maximum Angular Speed for Objects in Flat and Curved Spacetime: Theoretical Upper Bound for Massless and Massive Particles
    Nazat, Md. Shaikhul Hadis
  5. Foldy-Wouthuysen Green’s function and WKB transfer matrix method for Dirac tunneling through monolayer graphene with a mass gap
    Doost, Mark Behzad
  6. Band-Limited Relational Time in Constrained Quantum Gravity
    Speicher, Cherry
  7. Universal Scalar Field Theory (USFT) – Version 1.5
    Zeciri, Gjevdet
  8. Wolf-Rayet Mass Diagnostic via Photogravitational Parameter: 43% Deficit Found
    Bashan, Nadav
  9. Intrinsic Wave–Particle Cycling of the Electron: A Bounded Transition Framework Beyond Observer-Induced Collapse
    Rezapour, Majid; Rezapour, Ramin
  10. Hawking Radiation and Superradiance in Hairless Black Holes
    Chen, Wen-Xiang

Legacy / Calibration Issue

Prior Issues

Volume 1 · Issue 2 – March 30, 2026

Featured Legacy Paper
Conservation of Isotopic Spin and Isotopic Gauge Invariance
Yang, C. N.; Mills, R. L. | Published 1954
Contemporary Authors Covered
Anderson, Thomas Orr; Arcaya Véliz, Juan Carlos; Büyük, Sedat; Cooper, Evlondo; Delucchi, Daxx; Låvenberg, T.; McElvain, Mason William; Neuberger, Michael; Smawfield, Matthew Lukin; Snyder, Adam

Volume 1 · Issue 1 – March 2026

Featured Legacy Paper
The Quantum Theory of the Electron
Dirac, P. A. M. | Published 1928
Contemporary Authors Covered
Brown, Daniel; Chinitz, Jacob; Hentsch, Patrick; Poyau, Reginald; Reeves, Keefe; Rietz, Philipp; Spychalski, Robert; Stieger, G.

Volume 1 · Issue S1 – March 2026

Special Issue (Curated Edition)

Authors Covered
Arkani-Hamed, Nima; Benincasa, Paolo; Berezhiani, Lasha; Brown, Adam R.; Harlow, Daniel; Khoury, Justin; Maldacena, Juan; Pastawski, Fernando; Postnikov, Alexander; Preskill, John; Reuter, Martin; Roberts, Daniel A.; Saueressig, Frank; Susskind, Leonard; Swingle, Brian; Verlinde, Erik; Weinstein, Eric R.; Yoshida, Beni; Zhao, Ying

What Makes This Review Different

AI Physics Review focuses on structural readiness rather than scientific verdicts. The evaluation system measures the clarity and organization of a manuscript’s analytical structure without attempting to determine whether a theory is correct or important.

Author identity, institutional affiliation, citation counts, download metrics, and theoretical popularity are not considered. Only the explicit structural properties of the manuscript are evaluated.

How Papers Enter the Review

  1. Authors deposit their manuscript on Zenodo.
  2. The record is submitted to the AI Physics Review Zenodo community.
  3. Eligible manuscripts may be evaluated as part of future issue cohorts.
  4. Selected papers are presented in the Review through structured analytical overviews.

Detailed submission instructions are available on the Submissions page.

Scope of the Project

AI Physics Review does not replace peer review and does not attempt to adjudicate scientific correctness. The project provides a structured publication layer that highlights manuscripts demonstrating strong analytical organization under a declared evaluation protocol.

Participation is voluntary. Authors may request corrections or an editorial withdrawal notice for their work at any time. Because issues are archived through DOI repositories, the original issue record remains preserved as part of the scholarly archive.

Publisher Note

AI Physics Review is published by the Compression Theory Institute. The institute also offers independent consulting services related to AI-assisted research workflows and structural manuscript analysis. These services are separate from the AI Physics Review evaluation process and have no influence on scoring, selection, or publication decisions.

Learn more: compressiontheoryinstitute.org

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