arXiv:2610.37809v1 Announce Type: new Abstract: LLM agents that answer questions over Web knowledge graphs are increasingly wrapped in checks derived from the graph's ontology, on the assumption that a formal schema makes a reliable judge. Yet a checker can be wrong as well: it can miss errors, and it can flag correct answers and push the agent into "fixing" them. Whether a curated ontology is wor

So what

What this event means by reading role—not a longer recap.

BuilderIf you gate KG agents with ontology checks, expect false alarms that push agents to 'fix' correct answers; test precision before trusting a curated schema.
ResearcherThe paper makes the checker the object of study, comparing curated, LLM-generated and data-derived ontologies across open and proprietary agents and a ~10^9-tri

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