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Home/Authors/Deying Yu

Deying Yu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2AI×1Distributed×1Crypto×1

Frequent co-authors

Jun He2×

Research Timeline

2026
Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

The paper introduces Sovereign Agentic Loops (SAL), a control-plane architecture that decouples LLM reasoning from system execution to enhance safety and reliability in real-world AI agents.

Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure

The paper introduces Post-Deterministic Distributed Systems (PDDS) as a new model to coordinate autonomous infrastructure where participants, including stochastic agents, produce divergent reasoning paths while achieving correct, semantically equivalent outcomes.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.DCRecentJun 1, 2026

Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure

Jun He, Deying Yu

The paper introduces Post-Deterministic Distributed Systems (PDDS) as a new model to coordinate autonomous infrastructure where participants, including stochastic agents, produce divergent reasoning p…

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cs.CRcs.LGRecentApr 24, 2026

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Jun He, Deying Yu

The paper introduces Sovereign Agentic Loops (SAL), a control-plane architecture that decouples LLM reasoning from system execution to enhance safety and reliability in real-world AI agents.

View →