{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:A2AKA4HIPC3D3WUCYHZFDNGLA5","short_pith_number":"pith:A2AKA4HI","schema_version":"1.0","canonical_sha256":"0680a070e878b63dda82c1f251b4cb07512c1c13deb3e9c650d17ee413333557","source":{"kind":"arxiv","id":"2602.01086","version":2},"attestation_state":"computed","paper":{"title":"MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.DB","cs.DC","cs.SE"],"primary_cat":"cs.AI","authors_text":"Takahito Nakajima","submitted_at":"2026-02-01T08:03:20Z","abstract_excerpt":"Background: As of 2026, Large Language Models (LLMs) demonstrate expert-level medical knowledge. However, deploying them as autonomous \"Clinical Agents\" remains limited. Current Electronic Medical Records (EMRs) and standards like FHIR are designed for human review, creating a \"Context Mismatch\": AI agents receive fragmented data and must rely on probabilistic inference (e.g., RAG) to reconstruct patient history. This approach causes hallucinations and hinders auditability. Methods: We propose MedBeads, an agent-native data infrastructure where clinical events are immutable \"Beads\"--nodes in a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2602.01086","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-01T08:03:20Z","cross_cats_sorted":["cs.CR","cs.DB","cs.DC","cs.SE"],"title_canon_sha256":"a74ef35b0bfc79700fb989cbf5729d2d54de89a6de264acc101c4457b56f63db","abstract_canon_sha256":"5171940debc21537bbe877767da9ede6d6c6041d6fe7bbb2e5bcdfb972ad9d80"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:02:31.586758Z","signature_b64":"nEuN18zhLU3N00DOmha49LNuwDmU2q878gEWNnKSFuJ8GkQt0Dw7yRmMLtPE1rhRI+s20gmnjidOcnliZZ1BBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0680a070e878b63dda82c1f251b4cb07512c1c13deb3e9c650d17ee413333557","last_reissued_at":"2026-05-26T01:02:31.585836Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:02:31.585836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.DB","cs.DC","cs.SE"],"primary_cat":"cs.AI","authors_text":"Takahito Nakajima","submitted_at":"2026-02-01T08:03:20Z","abstract_excerpt":"Background: As of 2026, Large Language Models (LLMs) demonstrate expert-level medical knowledge. However, deploying them as autonomous \"Clinical Agents\" remains limited. Current Electronic Medical Records (EMRs) and standards like FHIR are designed for human review, creating a \"Context Mismatch\": AI agents receive fragmented data and must rely on probabilistic inference (e.g., RAG) to reconstruct patient history. This approach causes hallucinations and hinders auditability. Methods: We propose MedBeads, an agent-native data infrastructure where clinical events are immutable \"Beads\"--nodes in a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.01086","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.01086/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2602.01086","created_at":"2026-05-26T01:02:31.585964+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.01086v2","created_at":"2026-05-26T01:02:31.585964+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.01086","created_at":"2026-05-26T01:02:31.585964+00:00"},{"alias_kind":"pith_short_12","alias_value":"A2AKA4HIPC3D","created_at":"2026-05-26T01:02:31.585964+00:00"},{"alias_kind":"pith_short_16","alias_value":"A2AKA4HIPC3D3WUC","created_at":"2026-05-26T01:02:31.585964+00:00"},{"alias_kind":"pith_short_8","alias_value":"A2AKA4HI","created_at":"2026-05-26T01:02:31.585964+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5","json":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5.json","graph_json":"https://pith.science/api/pith-number/A2AKA4HIPC3D3WUCYHZFDNGLA5/graph.json","events_json":"https://pith.science/api/pith-number/A2AKA4HIPC3D3WUCYHZFDNGLA5/events.json","paper":"https://pith.science/paper/A2AKA4HI"},"agent_actions":{"view_html":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5","download_json":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5.json","view_paper":"https://pith.science/paper/A2AKA4HI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.01086&json=true","fetch_graph":"https://pith.science/api/pith-number/A2AKA4HIPC3D3WUCYHZFDNGLA5/graph.json","fetch_events":"https://pith.science/api/pith-number/A2AKA4HIPC3D3WUCYHZFDNGLA5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5/action/storage_attestation","attest_author":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5/action/author_attestation","sign_citation":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5/action/citation_signature","submit_replication":"https://pith.science/pith/A2AKA4HIPC3D3WUCYHZFDNGLA5/action/replication_record"}},"created_at":"2026-05-26T01:02:31.585964+00:00","updated_at":"2026-05-26T01:02:31.585964+00:00"}