3 papers
cs.CL2026
The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora
E. M. Freeburg
How a document's arrangement is written down, its notation, is a training variable that no dataset card records. The field has established that text-extraction choices change model…
math.PR2026
Hierarchical symmetry selects log-Poisson cascades: classification, uniqueness, and stability
E. M. Freeburg
Within i.i.d. multiplicative cascades, a single axiom -- the hierarchical symmetry, a linear contraction on incremental scaling exponents -- is shown to be necessary and sufficient…
cs.CL2026
The Last Fingerprint: How Markdown Training Shapes LLM Prose
E. M. Freeburg
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 te…