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This paper investigates graph-guided evidence navigation to improve long-novel reasoning with a local 9B language model, providing exploratory evidence from experiments on detective novels without statistically significant gains over baselines.
Introduces Narrative Knowledge Weaver (NKW), a source-grounded framework for narrative-centric retrieval-augmented reasoning in long-form text understanding. It aligns textual evidence, atomic facts, graph structure, entity profiles, and storylines, achieving strong results on screenplay-level story-world QA benchmarks.