{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:RP2JZGII5DIKKQGCJXY5NPWCLS","short_pith_number":"pith:RP2JZGII","schema_version":"1.0","canonical_sha256":"8bf49c9908e8d0a540c24df1d6bec25ca19ebbcce099ea0dc355216ad526d6eb","source":{"kind":"arxiv","id":"2506.14669","version":1},"attestation_state":"computed","paper":{"title":"Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Chirag J. Patel, Christine S. Ritchie, Daniel Mork, Daniel T. Ortega, Deborah Blacker, Federica Spoto, Francesca Dominici, Hossein Estiri, Jiazi Tian, Jonas H\\\"ugel","submitted_at":"2025-06-17T16:02:11Z","abstract_excerpt":"Background: Artificial intelligence (AI) models in healthcare depend on the fidelity of diagnostic data, yet the quality of such data is often compromised by variability in clinical documentation practices. In dementia, a condition already prone to diagnostic ambiguity, this variability may introduce systematic distortion into claims-based research and AI model development.\n  Methods: We analyzed Medicare Part A hospitalization data from 2016-2018 to examine patterns of dementia-related ICD-10 code utilization across more than 3,000 U.S. counties. Using a clinically informed classification of "},"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":"2506.14669","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-06-17T16:02:11Z","cross_cats_sorted":[],"title_canon_sha256":"a3efd0b9e1ca15f1f0805f77f4e776e129aeb743dc2e90d33c22b5ac17181c68","abstract_canon_sha256":"56a342e098eb7a3ab326d4f62ec0c042a64031c6b02a925b5b39bf88498798f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:23:00.520659Z","signature_b64":"3XupyaDXdBhlfgxKmnDYLE2E9aA3jw2xrawSDYXIiLy8QzXTgsKb0Lg3n2tvtTKKk1TuWXZnBvR4ZYxRxIwkDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8bf49c9908e8d0a540c24df1d6bec25ca19ebbcce099ea0dc355216ad526d6eb","last_reissued_at":"2026-07-05T11:23:00.520182Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:23:00.520182Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Chirag J. Patel, Christine S. Ritchie, Daniel Mork, Daniel T. Ortega, Deborah Blacker, Federica Spoto, Francesca Dominici, Hossein Estiri, Jiazi Tian, Jonas H\\\"ugel","submitted_at":"2025-06-17T16:02:11Z","abstract_excerpt":"Background: Artificial intelligence (AI) models in healthcare depend on the fidelity of diagnostic data, yet the quality of such data is often compromised by variability in clinical documentation practices. In dementia, a condition already prone to diagnostic ambiguity, this variability may introduce systematic distortion into claims-based research and AI model development.\n  Methods: We analyzed Medicare Part A hospitalization data from 2016-2018 to examine patterns of dementia-related ICD-10 code utilization across more than 3,000 U.S. counties. Using a clinically informed classification of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14669","kind":"arxiv","version":1},"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/2506.14669/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":"2506.14669","created_at":"2026-07-05T11:23:00.520233+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.14669v1","created_at":"2026-07-05T11:23:00.520233+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14669","created_at":"2026-07-05T11:23:00.520233+00:00"},{"alias_kind":"pith_short_12","alias_value":"RP2JZGII5DIK","created_at":"2026-07-05T11:23:00.520233+00:00"},{"alias_kind":"pith_short_16","alias_value":"RP2JZGII5DIKKQGC","created_at":"2026-07-05T11:23:00.520233+00:00"},{"alias_kind":"pith_short_8","alias_value":"RP2JZGII","created_at":"2026-07-05T11:23:00.520233+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/RP2JZGII5DIKKQGCJXY5NPWCLS","json":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS.json","graph_json":"https://pith.science/api/pith-number/RP2JZGII5DIKKQGCJXY5NPWCLS/graph.json","events_json":"https://pith.science/api/pith-number/RP2JZGII5DIKKQGCJXY5NPWCLS/events.json","paper":"https://pith.science/paper/RP2JZGII"},"agent_actions":{"view_html":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS","download_json":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS.json","view_paper":"https://pith.science/paper/RP2JZGII","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.14669&json=true","fetch_graph":"https://pith.science/api/pith-number/RP2JZGII5DIKKQGCJXY5NPWCLS/graph.json","fetch_events":"https://pith.science/api/pith-number/RP2JZGII5DIKKQGCJXY5NPWCLS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS/action/storage_attestation","attest_author":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS/action/author_attestation","sign_citation":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS/action/citation_signature","submit_replication":"https://pith.science/pith/RP2JZGII5DIKKQGCJXY5NPWCLS/action/replication_record"}},"created_at":"2026-07-05T11:23:00.520233+00:00","updated_at":"2026-07-05T11:23:00.520233+00:00"}