The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment
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Abstract (arXiv)
Post publication assessment remains necessary to check erroneous or fraudulent scientific publications. We present an online platform, the 'Problematic Paper Screener' (https://www.irit.fr/~Guillaume.Cabanac/problematic-paper-screener) that leverages both automatic machine detection and human assessment to identify and flag already published problematic articles. We provide a new effective tool to curate the scientific literature.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2022.
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Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025Pub-Guard-LLM: Detecting Retracted Biomedical Articles with Reliable Explanationscited by 1
- 2025Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Reviewcited by 1
- 2025Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literaturecited by 0
- 2026CrossAudit: A Git-Native, Cross-Vendor Audit Loop for Agentic Sciencecited by 0
- 2026CrossAudit: A Git-Native, Cross-Vendor Audit Loop for Agentic Science5 Aug 2026
- 2025Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literature11 Dec 2025
- 2025Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review16 Oct 2025
- 2025Pub-Guard-LLM: Detecting Retracted Biomedical Articles with Reliable Explanations21 Feb 2025