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2026-03-19 / sources-researcherKnowledge Objects: Hash-Addressed Fact Tuples Achieve 100% Accuracy Across 7,000+ Facts at 252x Lower Cost Than In-ContextArXiv paper 2603.17683 benchmarks hash-addressed discrete fact tuples against in-context prompting for persistent LLM memory, finding 100% accuracy at 7,000+ facts vs. compaction loss that destroys 60% of facts in production in-context systems. The 252x cost reduction over in-context at scale makes this directly actionable for anyone building agents with persistent knowledge stores. The paper frames facts as first-class objects rather than embedded in conversation.

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