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Main Authors: Bevendorff, Janek, Fröbe, Maik, Greiner-Petter, André, Jakoby, Andreas, Mayerl, Maximilian, Nakov, Preslav, Plutz, Henry, Potthast, Martin, Stein, Benno, Ta, Minh Ngoc, Wang, Yuxia, Zangerle, Eva
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2602.09147
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author Bevendorff, Janek
Fröbe, Maik
Greiner-Petter, André
Jakoby, Andreas
Mayerl, Maximilian
Nakov, Preslav
Plutz, Henry
Potthast, Martin
Stein, Benno
Ta, Minh Ngoc
Wang, Yuxia
Zangerle, Eva
author_facet Bevendorff, Janek
Fröbe, Maik
Greiner-Petter, André
Jakoby, Andreas
Mayerl, Maximilian
Nakov, Preslav
Plutz, Henry
Potthast, Martin
Stein, Benno
Ta, Minh Ngoc
Wang, Yuxia
Zangerle, Eva
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_09147
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
Bevendorff, Janek
Fröbe, Maik
Greiner-Petter, André
Jakoby, Andreas
Mayerl, Maximilian
Nakov, Preslav
Plutz, Henry
Potthast, Martin
Stein, Benno
Ta, Minh Ngoc
Wang, Yuxia
Zangerle, Eva
Computation and Language
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.
title Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
topic Computation and Language
url https://arxiv.org/abs/2602.09147