A new paper proposes a solution to the 'Semantic Shadowing' failure mode in Retrieval-Augmented Generation (RAG) architectures, which are used in long-horizon autonomous agents. The proposed solution, GC-Mem, is a strict inference-time consistency protocol that uses a temporal dominance operator and contradiction detection to excise shadowed context. The authors demonstrate its effectiveness through rigorous benchmarking and establish deployment thresholds to ensure state convergence.