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arXiv cs.LG
arXiv cs.LG
6/17/2026
Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems

Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems

Short summary

This paper formalizes four concurrency anomalies in multi-agent LLM systems (stale-generation, phantom-tool, causal-cascade, tool-effect reordering) and proves a hierarchy of isolation levels using mechanical verification in TLA+ and Verus. The authors verify three Rust runtimes against these specifications and demonstrate real-world fixes in ByteDance's deer-flow and LangGraph's ToolNode. This establishes the first machine-checked consistency framework for safe concurrent operation in distributed agent systems.

  • •Formalizes four concurrency anomalies in multi-agent LLM systems with mechanically verified proofs
  • •Verifies three Rust runtime implementations and fixes real-world issues in ByteDance deer-flow and LangGraph
  • •Establishes first machine-checked isolation hierarchy for safe distributed agent systems

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Read full article at arXiv cs.LG

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