For the complete documentation index, see llms.txt. This page is also available as Markdown.

Plagiarism

AI-Generated Content & LLM Detection

With the proliferation of frontier Large Language Models (LLMs), scientific publishing and peer review face synthetic paper-mill submissions, automated narrative fabrication, and hallucinated citations. Traditional plagiarism tools (e.g. iThenticate, Turnitin) rely on verbatim n-gram string matching and fail to detect synthetic prose.

  • [[Pangram: AI Content Detection Platform and Pangram 4 Classifier]] (pangram.com) — Deep-learning-based AI text and content detection platform developed by Pangram Labs (Max Spero, Bradley Emi, Ben Glickenhaus et al., arXiv:2607.27183). Achieves an AUROC of 0.9916 with an ultra-low false positive rate (0.0041%, ~1 in 24,000 documents) and 3-tier classification (Human-Written, AI-Assisted, AI-Generated) with per-token and segment-level attribution. Resists commercial paraphrasers and humanizers (98.83% accuracy).

Retraction Watch

Plagiarism Softwares

Aşırtma nasıl yapılır:

Fake Data

Automated detection of data fabrication using statistical tools

Scientific Misconduct: How can we detect fabrication of data or an entire study in a published journal paper?

https://www.quora.com/Scientific-Misconduct-How-can-we-detect-fabrication-of-data-or-an-entire-study-in-a-published-journal-paper

Statistical Detection of Potentially Fabricated Data

https://www.researchgate.net/publication/258764551_Statistical_Detection_of_Potentially_Fabricated_Data

The art of detecting data and image manipulation

https://www.elsevier.com/editors-update/story/publishing-ethics/the-art-of-detecting-data-and-image-manipulation

On the troubling trail of psychiatry’s pseudopatients stunt

https://www.nature.com/articles/d41586-019-03268-y

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