Formalizes four concurrency anomalies in multi-agent LLM systems and mechanically verifies a hierarchy of sound detectors and preventions realized in Rust runtimes using TLA+ and Verus.
Elle: Inferring isolation anomalies from experimental observations.ArXiv abs/2003.10554(2020)
3 Pith papers cite this work. Polarity classification is still indexing.
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Boomslang introduces a front-end/back-end pipeline with superpositions in its IR to enable general-purpose checking of arbitrary transaction isolation levels via SMT solving.
Lemonshark enables early finality for transactions in asynchronous DAG-BFT by identifying conditions where commitment is sufficient but not necessary for safe results, cutting latency by up to 65%.
citing papers explorer
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Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems
Formalizes four concurrency anomalies in multi-agent LLM systems and mechanically verifies a hierarchy of sound detectors and preventions realized in Rust runtimes using TLA+ and Verus.
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Making TransactionIsolation Checking Practical
Boomslang introduces a front-end/back-end pipeline with superpositions in its IR to enable general-purpose checking of arbitrary transaction isolation levels via SMT solving.
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Lemonshark: Asynchronous DAG-BFT With Early Finality
Lemonshark enables early finality for transactions in asynchronous DAG-BFT by identifying conditions where commitment is sufficient but not necessary for safe results, cutting latency by up to 65%.