Unverified50% confidenceFactExact time
In multi-step agentic systems based on LangGraph, abnormal intermediate steps, tool call failures, or unexpected model outputs may cause incomplete or incorrect data to be written into the memory state, which is known as state contamination.
1
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50%
Confidence
Long-term
Relevance
9/27/2026
First Seen
Sources
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Related Claims
UnverifiedWhen an expected state transition does not occur, the system records the failure as evidence and converts it into an explicit constraint in the symbolic layer.77% similarUnverified系统会试探性地应用补丁，若失败则将错误信息反馈给模型进行修正，构成闭环纠错机制75% similarUnverifiedDuring LangGraph failovers, call receipt information (the model catalog ID of the actually serving model, whether it was a rejection or empty result, and call cost) may be lost, causing downstream nodes to make incorrect judgments.74% similarUnverifiedIn Agentic systems, errors can occur at multiple levels including planning, tool invocation, and context management, and upstream errors are amplified along the chain.73% similarUnverifiedThe results of human review should flow back to continuously calibrate the model and costs; otherwise the system will fail as data drifts.72% similar
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