Who Wrote the Book? Detecting and Attributing LLM Ghostwriters

• URL: http://arxiv.org/abs/2603.28054v1
• Date: Mon, 30 Mar 2026 05:41:12 GMT
• Title: Who Wrote the Book? Detecting and Attributing LLM Ghostwriters
• Abstract summary: We introduce GhostWriteBench, a dataset for authorship attribution.<n>We also propose TRACE, a novel fingerprinting method that is interpretable and lightweight.
• Score: 35.478075071337784
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we introduce GhostWriteBench, a dataset for LLM authorship attribution. It comprises long-form texts (50K+ words per book) generated by frontier LLMs, and is designed to test generalisation across multiple out-of-distribution (OOD) dimensions, including domain and unseen LLM author. We also propose TRACE -- a novel fingerprinting method that is interpretable and lightweight -- that works for both open- and closed-source models. TRACE creates the fingerprint by capturing token-level transition patterns (e.g., word rank) estimated by another lightweight language model. Experiments on GhostWriteBench demonstrate that TRACE achieves state-of-the-art performance, remains robust in OOD settings, and works well in limited training data scenarios.

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