AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
Text generated by large language models (LLMs) has been shown to be stylometrically distinct from human-written text (Andre et al., 2023; Shah et al., 2023; Opara, 2024; Soto et al., 2024; Li and Zhang, 2025; Selvioglu et al., 2025). But LLMs are increasingly used not only to generate text but also to edit human writing, and it is unclear whether the two leave the same trace. We show that AI generation leaves a consistent "stylometric footprint": a small subset of features, primarily entropy and lexical diversity, consistently separates AI-generated text from human writing across 8 LLMs and 5 domains, while the remaining features depend heavily on the domain and generator. AI editing, how...
| Authors | Zhengyang Shan, Yukyung Lee, Sophie Hao |
|---|---|
| Primary category | cs.CL |
| Published | 28 August 2026 |
| Last updated at source | 22 September 2026 |
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