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Paper · arXiv

The Last Fingerprint: How Markdown Training Shapes LLM Prose

Large language models produce em dashes at varying rates, and the observation that some models "overuse" them has become one of the most widely discussed markers of AI-generated text. Yet no mechanistic account of this pattern exists, and the parallel observation that LLMs default to markdown-formatted output has never been connected to it. We propose that the em dash is markdown leaking into prose -- the smallest surviving unit of the structural orientation that LLMs acquire from markdown-saturated training corpora. We present a five-step genealogy connecting training data composition, structural internalization, the dual-register status of the em dash, and post-training amplification. W...

AuthorsE. M. Freeburg
Primary categorycs.CL
Published27 March 2026
Last updated at source27 March 2026
cs.CLcs.AIcs.CY
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