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EvidenceNet is presented, a runtime assurance layer for deciding whether coordinated agent operations have achieved an operator's network intent, and experiments on live routing networks show that post-change state checks recognize successful outcomes that configuration-action records alone cannot establish.
NetArtifactBench is introduced, which tests whether AI agents can repair inconsistent records derived from public network-system artifacts while preserving claims that remain supported, and argues that artifact integrity should become a first-class design and evaluation requirement for AI agents operating on network sy...
A reference architecture is developed that separates proposal generation from governed execution, identifies recurring integration patterns for LLM-enabled operations, and derives a research agenda for higher network autonomy under explicit assurance, safety, and governance constraints.
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