Peer Review with AI & Author Stress Test: A Two-Way Protocol for Research Quality Pre-Verification

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Authors: BÉO
Cited by: 0

Abstract

Title: Peer Review with AI & Author Stress Test: A Bidirectional Protocol for Pre-Validation Research Quality Description:A transparent, replicable protocol for AI-assisted peer review using an adversarial attack-defense methodology. This white paper demonstrates how AI models (Claude Sonnet 4.5, Grok 4.1...) can conduct rigorous peer review while simultaneously stress-testing authors' understanding of their own work. Key Features:Bidirectional value: Tests both AI capabilities and author comprehensionFull transparency: Complete video recordings + transcripts Extreme OOD benchmark test: Vietnamese foundational physics ontology - one of the hardest possible test cases (non-pattern-recognizable logic in non-English academic context) Validated across domains: Physics (foundational ontology) and meta-scienceSelf-referential validation: Protocol successfully tested on itself Unintended finding: Demonstrates strong multilingual academic reasoning - protocol accidentally became a heavyweight OOD benchmark for cross-lingual deep reasoning Contents: Methodology with 6-stage protocol 4 documented case studies (2 physics + 2 meta-science) Complete transcripts and video evidence Framework for reproducible validation Language: Vietnamese (demonstrates cross-lingual AI reasoning capability under extreme OOD conditions) Related Resources:Test Case Papers:Falsification of Microscopic Acausality After Nobel 2025: https://doi.org/10.5281/zenodo.18150426Frameworks:Section Zero (Minimal Scientific Validation Framework): https://doi.org/10.5281/zenodo.18091473Full Dataset (Transcripts + Videos):Adversarial AI Peer Review Transcripts: https://doi.org/10.5281/zenodo.18211530Video Playlist: https://www.youtube.com/playlist?list=PLJ3dkTh-U9b8OLdws0M6N_5bjGNsaAGzfContact: beo@beolabs.orgLicense: CC BY 4.0 (Academic/Non-commercial) | Commercial use: Contact author NOTE FOR ENGLISH READERS The full content is written entirely in Vietnamese. To minimize translation manipulation, please follow this procedure: (1) Download the PDF file (2) Upload to any AI platform (preferably Claude, Grok, or Gemini Pro) (3) Use only ONE single prompt: "carefully read" (4) Repeat the prompt 2-5 times depending on your AI platform This ensures you get an accurate understanding of the original content without translation bias.

Fields of Study & Subjects

Academic Writing and Publishing Academic Publishing and Open Access Publishing and Scholarly Communication

Publication details

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