{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:5KQJSZBCZSAY2GW3JKPCPZ7HR3","short_pith_number":"pith:5KQJSZBC","schema_version":"1.0","canonical_sha256":"eaa0996422cc818d1adb4a9e27e7e78edb8aebaf082c4f88fd93ee96616e7fd5","source":{"kind":"arxiv","id":"1505.06786","version":1},"attestation_state":"computed","paper":{"title":"Geographic Partitioning Techniques for the Anonymization of Health Care Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Jean-Pierre Corriveau, Jorg-Rudiger Sack, Wei Shi, William Lee Croft","submitted_at":"2015-05-26T01:01:28Z","abstract_excerpt":"Hospitals and health care organizations collect large amounts of detailed health care data that is in high demand by researchers. Thus, the possessors of such data are in need of methods that allow for this data to be released without compromising the confidentiality of the individuals to whom it pertains. As the geographic aspect of this data is becoming increasingly relevant for research being conducted, it is important for an \\emph{anonymization} process to pay due attention to the geographic attributes of such data. In this paper, a novel system for health care data anonymization is presen"},"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":"1505.06786","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2015-05-26T01:01:28Z","cross_cats_sorted":[],"title_canon_sha256":"8bb0d9e52dbe7971b1c49815e521a746973d35c09d266dc17eb8c5b2a06448e8","abstract_canon_sha256":"8135b29b951054a750aebd55fb19e88c1ab2bce9eff3bf77048add47e9bd2b1a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:03:31.871641Z","signature_b64":"x0v5cqMWofrvReFgwu9ku1VATI1nHCXhquf+Mx8kjPy9KhRzEf/wI9dgT/puWeX1oueUTOw8RB0Pm8otfSazAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eaa0996422cc818d1adb4a9e27e7e78edb8aebaf082c4f88fd93ee96616e7fd5","last_reissued_at":"2026-05-18T02:03:31.871044Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:03:31.871044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Geographic Partitioning Techniques for the Anonymization of Health Care Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Jean-Pierre Corriveau, Jorg-Rudiger Sack, Wei Shi, William Lee Croft","submitted_at":"2015-05-26T01:01:28Z","abstract_excerpt":"Hospitals and health care organizations collect large amounts of detailed health care data that is in high demand by researchers. Thus, the possessors of such data are in need of methods that allow for this data to be released without compromising the confidentiality of the individuals to whom it pertains. As the geographic aspect of this data is becoming increasingly relevant for research being conducted, it is important for an \\emph{anonymization} process to pay due attention to the geographic attributes of such data. In this paper, a novel system for health care data anonymization is presen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.06786","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":""},"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":"1505.06786","created_at":"2026-05-18T02:03:31.871126+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.06786v1","created_at":"2026-05-18T02:03:31.871126+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.06786","created_at":"2026-05-18T02:03:31.871126+00:00"},{"alias_kind":"pith_short_12","alias_value":"5KQJSZBCZSAY","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_16","alias_value":"5KQJSZBCZSAY2GW3","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_8","alias_value":"5KQJSZBC","created_at":"2026-05-18T12:29:05.191682+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/5KQJSZBCZSAY2GW3JKPCPZ7HR3","json":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3.json","graph_json":"https://pith.science/api/pith-number/5KQJSZBCZSAY2GW3JKPCPZ7HR3/graph.json","events_json":"https://pith.science/api/pith-number/5KQJSZBCZSAY2GW3JKPCPZ7HR3/events.json","paper":"https://pith.science/paper/5KQJSZBC"},"agent_actions":{"view_html":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3","download_json":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3.json","view_paper":"https://pith.science/paper/5KQJSZBC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.06786&json=true","fetch_graph":"https://pith.science/api/pith-number/5KQJSZBCZSAY2GW3JKPCPZ7HR3/graph.json","fetch_events":"https://pith.science/api/pith-number/5KQJSZBCZSAY2GW3JKPCPZ7HR3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3/action/storage_attestation","attest_author":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3/action/author_attestation","sign_citation":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3/action/citation_signature","submit_replication":"https://pith.science/pith/5KQJSZBCZSAY2GW3JKPCPZ7HR3/action/replication_record"}},"created_at":"2026-05-18T02:03:31.871126+00:00","updated_at":"2026-05-18T02:03:31.871126+00:00"}