A multi-agent LLM system with a vector database extracts narrative arcs from TV episode summaries, scoring 89% precision on self-contained arcs while missing overlapping relationship arcs.
In: Reading Contem- porary Serial Television Universes, pp
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Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV
A multi-agent LLM system with a vector database extracts narrative arcs from TV episode summaries, scoring 89% precision on self-contained arcs while missing overlapping relationship arcs.