arXiv — NLP / Computation & Language · · 3 min read

Story Operators: Decomposing the Original $\to$ Sequel Transformation in Embedding Space

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Computer Science > Computation and Language

arXiv:2606.25379 (cs)
[Submitted on 24 Jun 2026]

Title:Story Operators: Decomposing the Original $\to$ Sequel Transformation in Embedding Space

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Abstract:I treat a book as a point in a sentence-embedding space and a literary transformation as an operation on points. Given an original novel and its sequel, I ask what it takes, geometrically, to turn the first into the second. Using all-mpnet-base-v2 paragraph embeddings drawn from a precomputed index of the PG19 corpus, I form the displacement $d=\bar{x}_{\rm seq}-\bar{x}_{\rm orig}$ and greedily decompose it along a content basis obtained by PCA over the two books' own paragraphs. Each component is an interpretable axis anchored by real passages at its poles. Across thirteen verified author pairs from Project Gutenberg, the decomposition reveals a small taxonomy of sequels: formulaic (a tiny, low-rank change: Doyle's Holmes collections, $\|d\|=0.12$), concentrated (one dominant axis: Alcott's Little Women $\to$ Little Men, 75% on a single move), and compositional (many small axes: Twain, Burroughs's Barsoom, Nesbit). For the canonical case, Tom Sawyer $\to$ Huckleberry Finn, the dominant recovered axis is structural -- the collapse of sheltering domesticity into a picaresque road -- rather than the famous surface themes of vernacular voice or slavery, which ride later, smaller axes; and the transformation routes through adventure-journey space rather than diluting toward generic realism. I corroborate the recovered geometry against Twain's documented authorial intent (his 1875--76 letters to Howells), which names the first-person picaresque move years in advance, and I quantify, with an explicit representation caveat, how much of the realized transformation his stated intentions span. All computations are reproducible from the released scripts and data.
Comments: 8 pages, 3 figures
Subjects: Computation and Language (cs.CL)
ACM classes: I.2.7
Cite as: arXiv:2606.25379 [cs.CL]
  (or arXiv:2606.25379v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.25379
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Frederick Zimmerman [view email]
[v1] Wed, 24 Jun 2026 04:21:36 UTC (793 KB)
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