Paper proposes execution lineage to prevent agent loop corruption of work products

A new paper proposes "execution lineage" as an alternative to agent loops for LLM-based systems. The authors argue that traditional agent loops can silently corrupt work products due to implicit conversational state. Execution lineage, modeled as a Directed Acyclic Graph (DAG) of artifact-producing nodes, aims to ensure stable boundaries and identity-based replay for artifacts. Benchmarks on policy memo updates showed DAG replay achieved perfect preservation of upstream, downstream, and unaffected artifacts, outperforming loop baselines on maintained-state metrics. AI

IMPACT Introduces a new framework for evaluating and structuring LLM agent work, potentially improving reliability and reducing unintended side effects in complex tasks.

RANK_REASON The cluster discusses a new academic paper proposing an alternative architecture for LLM agent systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• Agent Loops
• arXiv
• Execution Lineage
• Josh Rosen
• LLM
• Seth Rosen

• paper
• other

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