AI RESEARCH
Narrative Fingerprints: Multi-Scale Author Identification via Novelty Curve Dynamics
arXiv CS.CL
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ArXi:2604.01073v1 Announce Type: new We test whether authors have characteristic "fingerprints" in the information-theoretic novelty curves of their published works. Working with two corpora -- Books3 (52,796 books, 759 qualifying authors) and PG-19 (28,439 books, 1,821 qualifying authors) -- we find that authorial voice leaves measurable traces in how novelty unfolds across a text.