📄 中文摘要
PAN 研讨会旨在通过客观和可重复的评估推进计算风格学和文本取证。2026 年将开展五项任务：第一，Voight-Kampff 生成式 AI 检测，特别是在混合和模糊作者身份的场景中；第二，文本水印，旨在寻找新方案并基准现有文本水印方案的鲁棒性；第三，多作者写作风格分析，继续寻找作者身份变化的位置；第四，生成式抄袭检测，针对生成文本与源文档之间的源检索和文本对齐；第五，推理轨迹检测，处理源检测和安全检测的新任务。这些任务将推动文本分析技术的发展，提升文本取证的有效性。
PAN 2026 概述：Voight-Kampff 生成式 AI 检测、文本水印、多作者写作风格分析、生成式抄袭检测和推理轨迹检测
📄 English Summary
Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
The PAN workshop aims to advance computational stylometry and text forensics through objective and reproducible evaluation. In 2026, five tasks will be conducted: (1) Voight-Kampff Generative AI Detection, particularly in mixed and obfuscated authorship scenarios; (2) Text Watermarking, which seeks to discover new schemes and benchmark the robustness of existing text watermarking methods; (3) Multi-author Writing Style Analysis, which continues to identify positions of authorship change; (4) Generative Plagiarism Detection, targeting source retrieval and text alignment between generated texts and source documents; and (5) Reasoning Trajectory Detection, a new task focusing on source detection and safety assessment. These tasks will drive the advancement of text analysis technologies and enhance the effectiveness of text forensics.