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REAL is a reasoning-enhanced graph framework for long-term memory management of LLMs that uses temporal and confidence-aware directed property graphs with non-destructive temporal updates and hybrid beam search retrieval, achieving an average improvement of 22.72%.
TraceGraph is a graph-based framework that constructs shared decision landscapes from multi-model agent trajectories, enabling diagnosis of failure regions and improvement via trap-aware recovery pipelines.