Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2609.35786.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Research paper presenting AgentK, a visual analytics system that converts multi-agent LLM dialogue into a knowledge graph and uses semantic bundling to help analysts trace behaviors, attribute actions to specific actors, and summarize long exchanges. Applied to the VAST Challenge 2026 MC1 dataset.

Concrete method and tool for debugging multi-agent LLM systems by turning conversation logs into navigable knowledge graphs, addressing attribution and summarization as agent stacks scale.

Cited by

No citations on record.