Numerical calculations reveal a chiral p-wave roton mode at finite momentum and a d-wave nematic mode at zero momentum in the SU(2) symmetric chiral spin liquid phase of the J1-J2-Jχ model.
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A data-centric survey finds that only information-flow control covers compositional and cross-session leakage in LLM agents and that no single benchmark tests an agent across all its data surfaces under one policy.
A synthesis of 247 papers on LLM agent security identifies prompt injection and tool hijacking as dominant threats, notes weakly compositional defenses, and argues for trust boundaries and realistic evaluations.
A hybrid agentic AI and multi-agent framework is proposed for prescriptive maintenance in smart manufacturing, using an LLM planner for workflow orchestration and specialized agents for schema discovery, feature analysis, model selection, and optimization, with initial validation on two industrial 1
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Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents
A data-centric survey finds that only information-flow control covers compositional and cross-session leakage in LLM agents and that no single benchmark tests an agent across all its data surfaces under one policy.
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Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation
A synthesis of 247 papers on LLM agent security identifies prompt injection and tool hijacking as dominant threats, notes weakly compositional defenses, and argues for trust boundaries and realistic evaluations.