LogAct is a shared-log abstraction for LLM agents that makes actions visible before execution, allows decoupled stopping, enables consistent recovery, and supports LLM-driven introspection for reliability.
InProceedings of the 29th ACM Symposium on Operating Systems Principles (SOSP)
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
MARS coordinates heterogeneous GPU-CPU resources for agentic LLM workloads via decoupled admission control and agent-centric KV cache management, delivering up to 5.94x lower latency and 1.87x faster task completion.
citing papers explorer
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LogAct: Enabling Agentic Reliability via Shared Logs
LogAct is a shared-log abstraction for LLM agents that makes actions visible before execution, allows decoupled stopping, enables consistent recovery, and supports LLM-driven introspection for reliability.
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MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems
MARS coordinates heterogeneous GPU-CPU resources for agentic LLM workloads via decoupled admission control and agent-centric KV cache management, delivering up to 5.94x lower latency and 1.87x faster task completion.