AIPR

About AI Physics Review

A transparent, rule-bound framework for the structural evaluation and publication of theoretical research.
All final published evaluations are currently generated with GPT-5.2 under a fixed deterministic protocol.

AI Physics Review (AIPR) is an experimental publication system designed to surface theoretical physics manuscripts that demonstrate strong structural presentation under a declared evaluation protocol.

The broader research environment that led to the creation of AIPR is discussed in the article
Leveling the Playing Field in Theoretical Research,
which examines how AI-mediated discovery systems and structural filtering influence research visibility.

The project focuses on aspects of manuscripts that can be assessed consistently and reproducibly: mathematical formalism, equation and dimensional integrity, assumption clarity, logical traceability, and scope coverage. These criteria are implemented through the MEALS structural scoring framework used by the Review.

AIPR does not attempt to determine scientific correctness, theoretical validity, or historical importance. The system evaluates structural readiness only. Institutional affiliation, citation counts, download metrics, and author identity are not used in scoring or selection.

Why the Project Exists

The project is based on a simple premise: structural clarity and peer-review readiness deserve visibility independent of institutional prestige, citation history, or author status.

Many theoretical manuscripts contain substantial technical work but receive little visibility due to social or institutional filtering. AIPR provides a procedural method for identifying structurally well-developed papers within a defined evaluation window and presenting them in a consistent format.

The Review therefore acts as a discovery layer rather than a judgment layer. It highlights papers that satisfy declared structural criteria during a defined evaluation window and does not rank theories or validate conclusions. Because Review pages are publicly indexed by search engines such as Google and Bing, inclusion can provide authors with an additional layer of discoverability.

How the System Works

The AIPR system consists of three operational components:

Structural evaluation. Manuscripts are analyzed using a deterministic rubric that measures the MEALS criteria: mathematical formalism, equation integrity, assumption clarity, logical traceability, and scope coverage (see the Methodology page for a detailed description of the evaluation protocol).

Procedural selection. Papers included in the Review are drawn from a defined evaluation cohort assembled for each issue. In the initial issues, this cohort was constructed from publicly available theoretical physics manuscripts in order to demonstrate the evaluation protocol and publication format. Papers in the cohort are evaluated using the structural scoring instrument, and those with the highest structural readiness scores are selected for inclusion in the issue.

The selection process is procedural rather than editorial. Author identity, institutional affiliation, citation counts, and theoretical popularity are not considered. Inclusion depends only on the structural characteristics of the manuscript as measured under the declared evaluation rubric.

For future issues, authors may ensure their work is included in the evaluation cohort by submitting their manuscript to the AI Physics Review community on Zenodo. Papers deposited in this community, and meeting the minimum requirements described on the community’s curation page, become part of the evaluation pool for upcoming Review issues.

AI Physics Review community on Zenodo

Neutral overview publication. Each selected paper is presented with a fixed-format overview describing its core thesis and structural characteristics in neutral terms. These summaries are descriptive only and avoid evaluative or promotional language.

Position of the Review

AIPR does not replace peer review and does not claim authority over theoretical validity. The system provides a procedural method for highlighting manuscripts that demonstrate strong structural discipline under a declared rubric.

Authors who prefer not to have their work actively presented in the Review may request a correction or an editorial withdrawal notice. Because issues are archived through DOI repositories, the original issue record remains preserved as part of the scholarly archive.

Project Stewardship

The Review is maintained by volunteer curators who receive no financial compensation for their work. The project operates as an independent effort focused on maintaining the evaluation protocol, assembling issues, and publishing the resulting overviews. Future support mechanisms may be introduced to help sustain the infrastructure and time required to operate the Review.