This dataset contains complete transcripts of adversarial peer review sessions between frontier AI models (Claude Sonnet 4. 5 and Grok 4. 1 Thinking) and research papers, using a novel Attack-Defense protocol. CONTENTS: • Transcript 1: Claude 4. 5 vs Foundational Physics Paper (~44 pages, 3 major correction rounds) • Transcript 2: Grok 4. 1 vs Foundational Physics Paper (~16 pages, 4 major correction rounds) • Transcript 3: Claude 4. 5 vs Meta-Science Case Study (~40 pages, 4 major correction rounds) • Transcript 4: Grok 4. 1 vs Meta-Science Case Study (~50 pages, 7 major correction rounds) METHODOLOGY: Attack-Defense protocol where AI critiques research papers and authors defend using only paper content (no personal opinions). Multi-round iterative process until resolution. KEY FINDINGS: • Pattern 100% consistent across 4 sessions • Initial: Misread/wrong criteria (30-50% understanding) • Final: High scores after correction (90-95% range) • Demonstrates: AI reasoning capability, failure modes, recovery patterns, meta-cognitive abilities LANGUAGE: Vietnamese (demonstrates cross-lingual deep reasoning in academic context) PURPOSE: • Transparent AI evaluation (full process visible) • Research data for verification and replication • Benchmark for adversarial peer review capability • Educational resource for AI-assisted research EXPERIMENTAL CONDITIONS: • Date: January 2026 • Models: Claude Sonnet 4. 5, Grok 4. 1 (Jan 2026 versions) • Domain: Foundational physics + Meta-science • Test type: Out-of-pattern adversarial cases • No editing, no cherry-picking RELATED MATERIALS: • Main paper: "Peer Review with AI & Author Stress Test" BÉO. (2026). Peer Review with AI & Author Stress Test: A Two-Way Protocol for Research Quality Pre-Verification. Zenodo. https: //doi. org/10. 5281/zenodo. 18224556 • Video recordings: https: //www. youtube. com/playlist? list=PLJ3dkTh-U9b8OLdws0M6N₅bjGNsaAGzf • Framework: Section Zero DOI: 10. 5281/zenodo. 18091473 LICENSE TERMS: This dataset is available under dual licensing: 1. ACADEMIC & NON-COMMERCIAL USE: License: CC BY 4. 0 Free for: Research, education, personal study 2. COMMERCIAL USE: (AI model training, product development, commercial platforms) Requires separate commercial agreement. Contact: beo@beolabs. org DEFINITIONS: • Commercial use: AI training by for-profit entities, integration into commercial products/services• Non-commercial: Academic research, education, personal study, non-profit open-source projects Questions? Contact: beo@beolabs. org CITATION: BÉO. (2026). Adversarial AI Peer Review Transcripts: Attack-Defense Protocol Testing. Zenodo. https: //doi. org/10. 5281/zenodo. 18211530 CONTACT: beo@beolabs. org
BÉO (Sun,) studied this question.