Stale, Misattributed, or Late: Where Personal Memory Fails Before Generation
cs.AI
Submitted: 2026-10-07
Updated: 2026-10-07
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- MemTrace: Probing What Final Accuracy Misses in Long-Term Memory
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
- Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
- MemConflict: Evaluating Long-Term Memory Systems Under Memory Conflicts
- TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory
- LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
- Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge
- AgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational Memory
- MUSE: A Heterogeneity-Aware Multimedia Search Engine for Mobile SoCs
- Are We Ready For An Agent-Native Memory System?
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems