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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.

AI Physics Review Volume 2 Issue 1 Cover
Evaluation Baseline
Model: GPT-5.5
Eval. Protocol: 3.3

Volume 2 · Issue 1 – June 1, 2026

Citation: AI Physics Review. Vol. 2, Issue 1. Open-Access Dataset; Source Window: January 2026. Compression Theory Institute. June 1, 2026.

Contents

Featured Legacy Paper:
  1. Conservation of Isotopic Spin and Isotopic Gauge Invariance
    Yang, C. N.; Mills, R. L.
Contemporary Evaluations:
  1. The Horizon Response Principle: A Friendly Primer
    Cabrera Iglesias, Enzo
  2. Shift–Clip–Cap Clause Aggregation Yields #P-Hardness at Additive Error 1
    Oertel, Jacob S.
  3. Unified Evolution Equation
    Shimizu, Yoshinori
  4. The Zero Entropy Framework (ZEF): A Pre-Geometric Order-Parameter Approach to Emergent Spacetime, Matter, and the Dark Sector
    Singh, Amit Kumar
  5. An Operational Framework for the Unification of General Relativity, Quantum Mechanics, and Thermodynamics in String-Theoretic Backgrounds, Based on Neutral Information: Neutral Time and the Emergence of the Arrow by Interaction
    Pelligra, Simone
  6. Information–Gauge RUEQFT with a Single Ultralight Stückelberg Vector: Operational Entropic Currents, Real–Time FRG Signatures, and UV→IR Portal Matching
    Lee, Ju Hyung
  7. The Causal Response Framework Volume I: Dark Matter Phenomenology
    Tramonti, Jason
  8. A Unified Framework for Emergent Particle Structure, Cosmology, and Gravitational Phenomena
    Morton, Andrew
  9. The Informational Mechanics First Wave: An Intuitive Introduction and Reading Guide
    Widgren, Anders Nils Gunnar
  10. Radiatively stable vacuum energy from a gauged constant vacuum mode
    Johansson, Germund
  11. CONSERVATION EQUATION ALONG GREAT CIRCLES (G.C.) AND GREAT ELLIPSES (G.E.).MODIFIED CLAIRAUT’S RELATION OF A G.E.
    Sinibaldi, Alessandro
  12. Vinay’s Energy–Acceleration Law: A Finite-Identity Kernel for Quantum Gravity, Cosmology, and Forces
    Gurramkonda, Vinay Sagar
Young Researcher Recognition:
  1. Dimensional Reflection Gravity: A Bivector-Based Reformulation of Spacetime Curvature
    Gupta, Sanket – Age 16 Grade 11

Volume 1 · Issue 7 – May 18, 2026

Citation: AI Physics Review. Vol. 1, Issue 7. Open-Access Dataset; Source Window: Dec 6 – Dec 31, 2025. Compression Theory Institute. May 18, 2026.

Contents

Featured Legacy Paper:
  1. On the Einstein Podolsky Rosen Paradox
    Bell, J. S.
Contemporary Evaluations:
  1. Theory Ñ: A Non-Perturbative Origin for the MOND Acceleration Scale
    Beguerie, Gabriel
  2. The QICT Program: From Gauge-Coded Microscopic Unitary Dynamics to an Audited Micro–Macro Closure
    Sacha, Mohamed
  3. The Spacetime Response Constant kSEG: A Unified Algebraic Factorization of Gravitational Physics
    Cabrera Iglesias, Enzo
  4. Relational Actualization of Quantum States: A Unified Information–Geometric Framework for Quantum Mechanics, Gravitation, and Dark Structure
    Vasquez, Keith R.
  5. Geometric Reaction (G → R = T + M)
    Giménez Urrea, Jesús
  6. The Supra–Omega Resonance Theory (SORT): A Modular Operator-Projection Framework for Structural Analysis
    Wegener, Gregor Herbert
  7. Compatibilidade Quântico-Relativística e o Surgimento do Tempo a partir de Restrições de Energia e Causalidade
    Melo, Marcel Freire de
  8. The Nested Black Hole Universe (NBHU) Model: A Boundary-Driven Alternative to the Big Bang Cosmology
    Bedenko, Valery
  9. Jump Theory v0.8: A Unified Time–Gravity Framework Based on Jump-Density Dynamics (Definitive Structural Edition)
    Furukawa, Takehiro

Volume 1 · Issue 6 – May 4, 2026

Citation: AI Physics Review. Vol. 1, Issue 6. Open-Access Dataset; Source Window: Nov 18 –Dec 21, 2025. Compression Theory Institute. May 4, 2026.

Contents

Featured Legacy Paper:
  1. Space-Time Approach to Non-Relativistic Quantum Mechanics
    Feynman, R. P.
Contemporary Evaluations:
  1. Emergent Modified Growth from KK Dark Matter: Chronon-Regulated Foliation, S8-Targeted Phenomenology, and Multi-Probe Falsifiability
    Castronuovo, Vitantonio
  2. Temporal–Density Framework for Unified Field Symmetry
    Hughes, Jason Peter
  3. A quasi-static lapse-based model for the low-redshift Hubble diagram and its redshift-drift signature
    Levin, Eric L.
  4. From Discrete Leue Modulation Coefficients to Smooth Continuum Modulation Fields on R³
    Leue, Jeanette
  5. Quantum-Gravitational-Informational Theory (QGI): A First-Principles Framework for Fundamental Physics
    de Aquino Junior, Marcos Eduardo
  6. Unified Curvature Field: A Deterministic Curvature Framework for Fundamental Physics
    Shaver, Baron
  7. Growth & Lensing Validation of the MMA-DMF Model: A Baryons-Only Framework Tested Against RSD fσ8, Shear/CMB-Lensing, High-k Lyα P1D, and DESI 2024+ Observations
    Adriano, Paulo
  8. A Dust-Time Based Conceptual Approach to Vacuum-Energy Sequestering (Hypothetical Construct)
    Fugunt, Alexandra
  9. Holographic Zeno Gravity: Entropic Spacetime Fluctuations and the Geometric Resolution of the Measurement Problem
    Saveliev, Alexander
  10. Deterministic Nuclear Structure, Fission, and Fusion from Curvature Dynamics in Trembling Spacetime Relativity
    Declercq, Nico F.

Legacy / Calibration Issue

Prior Issues

Volume 1 · Issue 5 – April 20, 2026

Featured Legacy Paper
Contemporary Authors Covered
Mghirbi, Nidhal; Asplind, Björn; Warburton, A.; Wolf, Tobias; Peris, Jonatan; Elmas, Furkan; Takahashi, K.; Li, Yuanjian; Elliott, H. G.

Volume 1 · Issue 4 – April 13, 2026

Featured Legacy Paper
Invariant Variation Problems
Noether, Emmy | Published 1918
Contemporary Authors Covered
Antonov, Lyudmil; Čižek, Emmanouil Karolos; Sabljić, Branimir; Dindar, Baran; Curci, Alberto; Howe, Cale Scott; Jang, Y.; deLyra, Jorge L.; İnal, Cüneyt

Volume 1 · Issue 3 – April 6, 2026

Featured Legacy Paper
A Mathematical Theory of Communication
Shannon, Claude E. | Published 1948
Contemporary Authors Covered
Perry, Anthony; Totsam; Reeves, Keefe; Nazat, Md. Shaikhul Hadis; Doost, Mark Behzad; Speicher, Cherry; Zeciri, Gjevdet; Bashan, Nadav; Rezapour, Majid; Rezapour, Ramin; Chen, Wen-Xiang

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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