Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models

ArXi:2603.29661v1 Announce Type: cross Existing narrative extraction methods face a trade-off between coherence, interactivity, and multi-storyline. Narrative Maps s rich interaction and generates multiple storylines as a byproduct of its coverage constraints, though this comes at the cost of individual path coherence. Narrative Trails achieves high coherence through maximum capacity path optimization but provides no mechanism for user guidance or multiple perspectives. We