Shadow-Loom builds graphical world models from stories to enable code-based causal reasoning and structural scoring of narrative effects such as mystery, irony, suspense, and surprise.
InProceed- ings of the 7th Workshop on Narrative Understanding (WNU)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Shadow-Loom: Causal Reasoning over Graphical World Models of Narratives
Shadow-Loom builds graphical world models from stories to enable code-based causal reasoning and structural scoring of narrative effects such as mystery, irony, suspense, and surprise.