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WikiStar is a system that uses an LLM classifier to tag scientifically meaningful edits in Wikipedia article revision histories, enabling interactive exploration of how scientific knowledge evolves over time. The system includes a benchmark dataset and was validated through a user study with domain experts.
This paper introduces MemStrata, a retrieval memory system that maintains temporal validity to eliminate stale-fact errors in AI agents over evolving knowledge. It outperforms RAG on evolving benchmarks while preserving static recall, using a deterministic supersession layer without LLM calls.