Unverified50% confidenceConceptExact time
State-drift describes a situation where an Agent's memory system recorded information at some point in time, and after the facts in the world changed, the system still retrieves and acts on the old record with full confidence, while the retrieval pipeline itself is not at fault.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedMost current memory systems equally pack all historical information into a vector store, losing the temporal structure of states.71% similarUnverifiedThe historical attack memory component allows the system to retain recognition capability even when an attack pattern is inactive, enabling rapid invocation of historical experience to intercept the attack when the technique reappears70% similarUnverifiedProactively invalidating associated memories upon data changes yields a cleaner architecture, but requires tracking the source fingerprint of each memory entry, placing higher demands on system observability and data pipelines.67% similarUnverifiedState-drift is different from data drift or concept drift, which focus on changes in the model's input distribution or input-output mapping and can be detected with observability tools; state-drift concerns the expiration of stored beliefs, which can fail even when the input is entirely in-distribution.66% similarUnverifiedAgent故障恢复借鉴数据库的WAL预写日志和分布式系统中的检查点技术，在每个关键决策点保存完整的Agent状态快照65% similar
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