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cs.DC2026

KedgeFlow: A Programmable Control Plane for Enterprise AI Agents

Jun He, Deying Yu

Enterprise AI agents can execute altered versions of approved actions, concurrently reuse the same permission, or retry operations whose responses were lost. These failures arise w…

cs.DC2026

Before Agents Act: Assurance-Aware Semantic Scheduling for Evidence Acquisition in Distributed Systems

Jun He, Deying Yu

Tool-using agents can initiate consequential infrastructure changes, yet evidence required for admission may expire while other checks run or depend on a shared fault domain. We fo…

cs.DC2026

Cognitive Admission Control: Risk-Conditioned Assurance for Consequential Actions in Agentic Distributed Systems

Jun He, Deying Yu

In agentic distributed systems, an agent may be authorized to mutate external infrastructure while lacking evidence that the mutation is ready to execute. Cognitive Admission Contr…

cs.DC2026

The Illusion of Independent Quorums: Epistemic Fault Domains and Correlated Cognitive Failures in Agentic Quorums

Jun He, Deying Yu

Multi-agent quorums are widely used to authorize high-stakes infrastructure and policy mutations, yet distinct reviewers often share upstream telemetry, documents, or tool backends…

cs.DC2026

Agent-Native Telemetry: Verifiable State-Delta Evidence for Autonomous Operations

Jun He, Deying Yu

Operational telemetry is predominantly engineered for human reading: systems repeatedly serialize verbose prose, static keys, and redundant context across billions of log lines. As…