
AI Physics Review – Volume 1, Issue 0 (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-5.3; evaluation protocol AIPR 1.74.Prior versions evaluated under earlier model baselines are preserved in the version history to maintain a transparent record of evaluation evolution. Website: https://aiphysicsreview.org Publisher: Compression Theory Institute
AI-assisted research evaluation, Artificial intelligence, Research evaluation, Mathematical physics, physics foundations, Quantum physics, Independent research, peer review, theoretical research, Theoretical physics, Scientific publishing
AI-assisted research evaluation, Artificial intelligence, Research evaluation, Mathematical physics, physics foundations, Quantum physics, Independent research, peer review, theoretical research, Theoretical physics, Scientific publishing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
