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Typed clinical links occupy a separate, reconstructable interpretation layer derived from signed, ve","title":"MedBeads: An AI-Native Clinical Context Graph Built from Immutable Beads and Reconstructable Clinical Links","url":"https://arxiv.org/abs/2602.01086","vendor":"arxiv_cs_ai"},"summary":"arXiv:2602.01086v3 Announce Type: replace \nAbstract: Generative AI can encode substantial medical knowledge, but patient-specific answers remain constrained by the context supplied at inference time. Electronic health records and FHIR support documentation and interoperability, but they do not by themselves define the complete, current, and auditable context a model should receive. Similarity-based retrieval can find related text, but it neither guarantees collection of clinically connected records nor makes omissions explicit. We introduce MedBeads, an AI-facing clinical record substrate that assembles a declared closure of longitudinal patient information before generation. 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