Memory Consolidation Flattens the Temporal Shape of User Facts
cs.CL
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
- The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure
- Manufactured Confidence: How Memory Consolidation Turns Hearsay into Confident Facts
- RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Models
- Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
- MemGPT: Towards LLMs as Operating Systems
- Compression Is Not Evaluation-Neutral: Fixed RAG Compression Can Distort Reader Comparisons
- Same Ranking, Different Winner: How Scoring Targets Shape LLM Memory Benchmarks
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
- When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses
- From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
- MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval
- Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
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