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arXiv cs.CLSeptember 24, 2026

LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies

Excerpt

arXiv:2609.27032v1 Announce Type: new Abstract: Faithfulness is a central concern in legal text summarization, which motivates extractive approaches that select verbatim content traceable to its source. Such methods typically rank paragraphs or other structural units in isolation, yet give little attention to consolidating evidence that is distributed across, and shares salience between, distant parts of a document. We introduce LexLattice, an extractive summarizer that reifies a legal act's hie