通过新颖性曲线分析作者写作特征，发现其独特语言指纹。
Narrative Fingerprints: Multi-Scale Author Identification via Novelty Curve Dynamics
- 用信息论的新颖性曲线捕捉作者语言风格的多尺度特征。
- 书级特征可识别43%作者，章节级模式识别达基线30倍以上。
- 经典与现代作者均有显著指纹，适合文本溯源与风格研究。
我们检验作者是否在作品的信息论新颖性曲线上留下可测量的“指纹”。基于两个语料库——Books3（52,796本书，759位合格作者）和PG-19（28,439本书，1,821位合格作者）——发现作者声音在文本中新颖性的展开方式上留下可观测痕迹。该信号具有多尺度特性：在书级层面，标量动态（平均新颖性、速度、体量、迂回度）能显著高于随机水平识别43%的作者；在章节级，滑动窗口中的SAX模式在30倍于基线水平上实现归属判定，远超书级标量特征。这些信号互补而非冗余。尽管指纹部分受体裁混淆影响，但在同一体裁内仍对约四分之一作者保持有效。经典作者（如马克·吐温、简·奥斯汀、吉卜林）的指纹强度与现代作者相当，表明该现象并非当代出版惯例的产物。
原文摘要 · Abstract (English)
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. The signal is multi-scale: at book level, scalar dynamics (mean novelty, speed, volume, circuitousness) identify 43% of authors significantly above chance; at chapter level, SAX motif patterns in sliding windows achieve 30x-above-chance attribution, far exceeding the scalar features that dominate at book level. These signals are complementary, not redundant. We show that the fingerprint is partly confounded with genre but persists within-genre for approximately one-quarter of authors. Classical authors (Twain, Austen, Kipling) show fingerprints comparable in strength to modern authors, suggesting the phenomenon is not an artifact of contemporary publishing conventions.
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