This issue presents structural evaluations of theoretical physics manuscripts under a constraint-based protocol.
Evaluations describe formal structure only, not scientific validity or correctness
Model: GPT-5.3
Eval. Protocol: 3.3
Method: Six-run trimmed mean aggregation (clean-room evaluation)
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.
Editorial Note. The conceptual summaries and structural evaluations presented below are provided for educational and research reference. They are interpretive structural analyses of the original works and are not substitutes for the full manuscripts. The AIPR evaluation framework assesses structural properties of a manuscript (mathematical formalism, equation integrity, logical traceability, assumption clarity, and scope coverage) and does not attempt to determine the truth, correctness, or empirical validity of the underlying theory. Readers are encouraged to consult the original publications for complete derivations, arguments, and historical context. Repeated phrasing across entries reflects uniform application of a fixed evaluation protocol and independent generation of each analysis.
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.75
- A (Assumption Clarity and Constraints, weight 2): 4.00
- L (Logical Traceability, weight 2): 5.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 4.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.50
- A (Assumption Clarity and Constraints, weight 2): 3.25
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 4.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 4.50
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.20
- A (Assumption Clarity and Constraints, weight 2): 3.60
- L (Logical Traceability, weight 2): 4.20
- S (Scope Coverage, weight 1): 4.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.75
- L (Logical Traceability, weight 2): 3.75
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.25
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.25
- L (Logical Traceability, weight 2): 3.75
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 3.75
- A (Assumption Clarity and Constraints, weight 2): 3.75
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 4.25
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.50
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 4.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 3.75
- A (Assumption Clarity and Constraints, weight 2): 3.25
- L (Logical Traceability, weight 2): 3.75
- S (Scope Coverage, weight 1): 5.00
Comments, corrections, and suggestions are welcome. AIPR is an experimental publication system, and reader feedback helps improve both the review instrument and the presentation of papers.
Authors requesting a correction or an editorial withdrawal notice should submit requests from the email address associated with their ORCID record. If the author does not have an ORCID account connected to their Zenodo submission, they may contact the curator, who will work with them to verify their identity before processing the request.
Contact: custodian@aiphysicsreview.org