EP395: ConsistencyGate stops AI memory contamination

Title: ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission ControlSource: http://arxiv.org/abs/2607.22962v1Summary:This work introduces a novel agentic reasoning framework, 'ConsistencyGate,' which uses self-consistency admission control to prevent memory contamination in LLM agents. This breakthrough provides a critical primitive for robust and reliable agentic AI systems, enabling more effective long-term operation and reasoning.