cs.CLAug 18, 2026

The Plot Thins: Uniformity and Linearity in Literary Summaries

Authors: Rebecca M. M. Hicke, Sil Hamilton, David Mimno, Ross Deans Kristensen-McLachlan

Organizations: Computer Science Department, Cornell University · Information Science Department, Cornell University · School of Communication and Culture, Aarhus University

Abstract

Works of literature are complicated; they balance plot, suspense, surprise, and artistic expression. Summaries of literature prioritize plot, and therefore may deviate from their sources. Using a combination of manual and LLM-based annotation, we construct a dataset mapping sentences from 150 novel summaries to their respective source chapters. We find the task unexpectedly difficult for both human and model annotators. Using the sentence-to-chapter mappings, we then measure summary linearity, the degree to which it maintains the source's order of events, and uniformity, the degree to which a summary spreads attention equally across a source. By examining when and how summaries break linearity and uniformity, we identify differences in how literary works and summaries express plot, particularly with regard to the clarity and prominence with which narrative details are described.

Explore similar work

CardsList
  1. Attention Flows: Tracing LLM Conceptual Engagement via Story Summaries

    Apr 7, 2026Rebecca M. M. Hicke, Sil Hamilton, David Mimno +1LLM EvaluationLong-Context Language Model Evaluation

  2. S^2tory: Story Spine Distillation for Movie Script Summarization

    May 5, 2026Mingzhe Lu, Yanbing Liu, Qihao Wang +5Text Summarization

  3. Information Satisfaction: A Reader-Centered Axis for Summarization Evaluation

    Aug 14, 2026Isabel Cachola, William Walden, Reno Kriz +1Summarization EvaluationLLM Evaluation