State Contamination in Memory-Augmented LLM Agents
Research code/paper implementation studying “state contamination” in memory-augmented LLM agents, specifically the failure mode where toxic/adversarial context can be “memory laundered” via summaries that evade standard detectors while retaining harmful framing for later agent behavior.
unknown (paper source; repository metrics indicate minimal/early code availability)likely python (common for LLM safety research repositories)1w ago
brand newby Yian WangFR:HIGHPDR:MEDMCR:MEDDH:6MO2/10