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 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
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Conservation of Isotopic Spin and Isotopic Gauge Invariance
Yang, C. N.; Mills, R. L.
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The Horizon Response Principle: A Friendly Primer
Cabrera Iglesias, Enzo -
Shift–Clip–Cap Clause Aggregation Yields #P-Hardness at Additive Error 1
Oertel, Jacob S. -
Unified Evolution Equation
Shimizu, Yoshinori -
The Zero Entropy Framework (ZEF): A Pre-Geometric Order-Parameter Approach to Emergent Spacetime, Matter, and the Dark Sector
Singh, Amit Kumar -
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 -
Information–Gauge RUEQFT with a Single Ultralight Stückelberg Vector: Operational Entropic Currents, Real–Time FRG Signatures, and UV→IR Portal Matching
Lee, Ju Hyung -
The Causal Response Framework Volume I: Dark Matter Phenomenology
Tramonti, Jason -
A Unified Framework for Emergent Particle Structure, Cosmology, and Gravitational Phenomena
Morton, Andrew -
The Informational Mechanics First Wave: An Intuitive Introduction and Reading Guide
Widgren, Anders Nils Gunnar -
Radiatively stable vacuum energy from a gauged constant vacuum mode
Johansson, Germund -
CONSERVATION EQUATION ALONG GREAT CIRCLES (G.C.) AND GREAT ELLIPSES (G.E.).MODIFIED CLAIRAUT’S RELATION OF A G.E.
Sinibaldi, Alessandro -
Vinay’s Energy–Acceleration Law: A Finite-Identity Kernel for Quantum Gravity, Cosmology, and Forces
Gurramkonda, Vinay Sagar
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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
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On the Einstein Podolsky Rosen Paradox
Bell, J. S.
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Theory Ñ: A Non-Perturbative Origin for the MOND Acceleration Scale
Beguerie, Gabriel -
The QICT Program: From Gauge-Coded Microscopic Unitary Dynamics to an Audited Micro–Macro Closure
Sacha, Mohamed -
The Spacetime Response Constant kSEG: A Unified Algebraic Factorization of Gravitational Physics
Cabrera Iglesias, Enzo -
Relational Actualization of Quantum States: A Unified Information–Geometric Framework for Quantum Mechanics, Gravitation, and Dark Structure
Vasquez, Keith R. -
Geometric Reaction (G → R = T + M)
Giménez Urrea, Jesús -
The Supra–Omega Resonance Theory (SORT): A Modular Operator-Projection Framework for Structural Analysis
Wegener, Gregor Herbert -
Compatibilidade Quântico-Relativística e o Surgimento do Tempo a partir de Restrições de Energia e Causalidade
Melo, Marcel Freire de -
The Nested Black Hole Universe (NBHU) Model: A Boundary-Driven Alternative to the Big Bang Cosmology
Bedenko, Valery -
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
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Space-Time Approach to Non-Relativistic Quantum Mechanics
Feynman, R. P.
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Emergent Modified Growth from KK Dark Matter: Chronon-Regulated Foliation, S8-Targeted Phenomenology, and Multi-Probe Falsifiability
Castronuovo, Vitantonio -
Temporal–Density Framework for Unified Field Symmetry
Hughes, Jason Peter -
A quasi-static lapse-based model for the low-redshift Hubble diagram and its redshift-drift signature
Levin, Eric L. -
From Discrete Leue Modulation Coefficients to Smooth Continuum Modulation Fields on R³
Leue, Jeanette -
Quantum-Gravitational-Informational Theory (QGI): A First-Principles Framework for Fundamental Physics
de Aquino Junior, Marcos Eduardo -
Unified Curvature Field: A Deterministic Curvature Framework for Fundamental Physics
Shaver, Baron -
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 -
A Dust-Time Based Conceptual Approach to Vacuum-Energy Sequestering (Hypothetical Construct)
Fugunt, Alexandra -
Holographic Zeno Gravity: Entropic Spacetime Fluctuations and the Geometric Resolution of the Measurement Problem
Saveliev, Alexander -
Deterministic Nuclear Structure, Fission, and Fusion from Curvature Dynamics in Trembling Spacetime Relativity
Declercq, Nico F.
Legacy / Calibration Issue
Volume 1 · Issue 0 – March 2026
Calibration Issue – Versioned under evolving evaluation baselines
Contents
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Zur Elektrodynamik bewegter Körper – On the Electrodynamics of Moving Bodies (Special Relativity)
Einstein, Albert
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“Relative State” Formulation of Quantum Mechanics
Everett, Hugh III -
Particle Creation by Black Holes
Hawking, S. W. -
Inhomogeneous Electron Gas
Hohenberg, P.; Kohn, W. -
The Large N Limit of Superconformal Field Theories and Supergravity
Maldacena, Juan -
A Dynamical Theory of the Electromagnetic Field
Maxwell, James Clerk -
Quantisierung als Eigenwertproblem (Quantization as an Eigenvalue Problem)
Schrödinger, Erwin -
A Model of Leptons
Weinberg, Steven
Prior Issues
Volume 1 · Issue 5 – April 20, 2026
Boltzmann, Ludwig | Published 1877
Volume 1 · Issue 4 – April 13, 2026
Volume 1 · Issue 3 – April 6, 2026
Volume 1 · Issue 2 – March 30, 2026
Yang, C. N.; Mills, R. L. | Published 1954
Volume 1 · Issue 1 – March 2026
Volume 1 · Issue S1 – March 2026
Special Issue (Curated Edition)
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
- Authors deposit their manuscript on Zenodo.
- The record is submitted to the AI Physics Review Zenodo community.
- Eligible manuscripts may be evaluated as part of future issue cohorts.
- 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