Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection

• URL: http://arxiv.org/abs/2602.09147v1
• Date: Mon, 09 Feb 2026 19:48:16 GMT
• Title: Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
• Abstract summary: The goal of the PAN workshop is to advance computational stylometry and text forensics via objective and reproducible evaluation.<n>As in previous years, PAN invites software submissions as easy-to-reproduce Docker containers for most of the tasks.<n>Since PAN 2012, more than 1,100 submissions have been made this way via the TIRA experimentation platform.
• Score: 58.873639022077235
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The goal of the PAN workshop is to advance computational stylometry and text forensics via objective and reproducible evaluation. In 2026, we run the following five tasks: (1) Voight-Kampff Generative AI Detection, particularly in mixed and obfuscated authorship scenarios, (2) Text Watermarking, a new task that aims to find new and benchmark the robustness of existing text watermarking schemes, (3) Multi-author Writing Style Analysis, a continued task that aims to find positions of authorship change, (4) Generative Plagiarism Detection, a continued task that targets source retrieval and text alignment between generated text and source documents, and (5) Reasoning Trajectory Detection, a new task that deals with source detection and safety detection of LLM-generated or human-written reasoning trajectories. As in previous years, PAN invites software submissions as easy-to-reproduce Docker containers for most of the tasks. Since PAN 2012, more than 1,100 submissions have been made this way via the TIRA experimentation platform.

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