AI Physics Review – Volume 1, Issue 1 – Foundations and Unification (March 2026)

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Authors: William Andrew Lawrence
Cited by: 0

Abstract

AI Physics Review – Volume 1, Issue 1 (March 2026) AI Physics Review is an independent review platform devoted to structural evaluation of theoretical research. Each issue presents formal analytical reviews of selected manuscripts using the MEALS framework, which measures mathematical formalism, equation integrity, assumption clarity, logical traceability, and scope coverage. The review protocol does not attempt to determine the empirical correctness of a theory. Instead, the framework evaluates structural properties of a manuscript’s analytical construction. This allows both historical and contemporary works to be examined under a consistent methodological lens. Legacy manuscripts may be included to provide historical context and to illustrate how influential theoretical works score when evaluated against modern expectations for mathematical physics writing. Evaluations are produced through an AI-assisted analytical workflow and are published verbatim in order to preserve transparency of the evaluation process. Evaluation metadata: Model baseline GPT-5.2; evaluation protocol AIPR 1.74. Note: Evaluations in this issue were conducted under GPT-5.2. Subsequent issues use GPT-5.3, which applies stricter formal-structure weighting. Website: https://aiphysicsreview.org Publisher: Compression Theory Institute

Fields of Study & Subjects

Relativity and Gravitational Theory Academic Writing and Publishing Scientific Research and Discoveries

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 March 2026
Language
EN