{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:UQHRUPO4FDNVFJQXG4JIVIBT7B","short_pith_number":"pith:UQHRUPO4","canonical_record":{"source":{"id":"1602.04257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-02-12T22:51:11Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"4abb18c24f7b8c3311f2e14ef5fab533e426ec308a44fd57b9f6bf4aee43478c","abstract_canon_sha256":"af238156917fceb1a0c94b487ce2f77cd1f10a47ee4772c6ebbf313adbea7638"},"schema_version":"1.0"},"canonical_sha256":"a40f1a3ddc28db52a61737128aa033f86d76133c85bda1bfcb3b77c32a15851a","source":{"kind":"arxiv","id":"1602.04257","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.04257","created_at":"2026-05-18T01:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"1602.04257v1","created_at":"2026-05-18T01:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.04257","created_at":"2026-05-18T01:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"UQHRUPO4FDNV","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"UQHRUPO4FDNVFJQX","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"UQHRUPO4","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:UQHRUPO4FDNVFJQXG4JIVIBT7B","target":"record","payload":{"canonical_record":{"source":{"id":"1602.04257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-02-12T22:51:11Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"4abb18c24f7b8c3311f2e14ef5fab533e426ec308a44fd57b9f6bf4aee43478c","abstract_canon_sha256":"af238156917fceb1a0c94b487ce2f77cd1f10a47ee4772c6ebbf313adbea7638"},"schema_version":"1.0"},"canonical_sha256":"a40f1a3ddc28db52a61737128aa033f86d76133c85bda1bfcb3b77c32a15851a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:20:51.410547Z","signature_b64":"EtwRjt8ujOanOabA0LlvBXdKN0L7WGxSQcT2YknCyflpZBiGKfW1nxDJZcpbCXuK9WQ8e2aAcPKx89B8Xl9rBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a40f1a3ddc28db52a61737128aa033f86d76133c85bda1bfcb3b77c32a15851a","last_reissued_at":"2026-05-18T01:20:51.409949Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:20:51.409949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.04257","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:20:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o0fbChn2TiB4rRPhmHqzmj2uwnDV6D7db3jGch9owPbYp7Ou5ZvK2OxISgG5k/SgLrbdnTXJSpXx6RdBJBC0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T10:33:44.627425Z"},"content_sha256":"0e74f92bcf2a7743ec693a8d1c146ab7441fd28652f51cea9e55e5c0c8f1823a","schema_version":"1.0","event_id":"sha256:0e74f92bcf2a7743ec693a8d1c146ab7441fd28652f51cea9e55e5c0c8f1823a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:UQHRUPO4FDNVFJQXG4JIVIBT7B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Identifying Diabetic Patients with High Risk of Readmission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Adil Zafar, Ankit Kumar, Malladihalli S Bhuvan, Vinith Kishore","submitted_at":"2016-02-12T22:51:11Z","abstract_excerpt":"Hospital readmissions are expensive and reflect the inadequacies in healthcare system. In the United States alone, treatment of readmitted diabetic patients exceeds 250 million dollars per year. Early identification of patients facing a high risk of readmission can enable healthcare providers to to conduct additional investigations and possibly prevent future readmissions. This not only improves the quality of care but also reduces the medical expenses on readmission. Machine learning methods have been leveraged on public health data to build a system for identifying diabetic patients facing a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.04257","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:20:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ggj05VurvG96ukofVszTaQFFD07SDzaQX8xdFi4BJJ1iD91fPjDUmHJyBirWAn+XWoy9EhKv2zNA8BjiNDQEBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T10:33:44.627763Z"},"content_sha256":"5a64eb895189346fefd050b80833eec9b899f811bb07c33aac65feebb630ba6a","schema_version":"1.0","event_id":"sha256:5a64eb895189346fefd050b80833eec9b899f811bb07c33aac65feebb630ba6a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B/bundle.json","state_url":"https://pith.science/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T10:33:44Z","links":{"resolver":"https://pith.science/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B","bundle":"https://pith.science/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B/bundle.json","state":"https://pith.science/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UQHRUPO4FDNVFJQXG4JIVIBT7B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:UQHRUPO4FDNVFJQXG4JIVIBT7B","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"af238156917fceb1a0c94b487ce2f77cd1f10a47ee4772c6ebbf313adbea7638","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-02-12T22:51:11Z","title_canon_sha256":"4abb18c24f7b8c3311f2e14ef5fab533e426ec308a44fd57b9f6bf4aee43478c"},"schema_version":"1.0","source":{"id":"1602.04257","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.04257","created_at":"2026-05-18T01:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"1602.04257v1","created_at":"2026-05-18T01:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.04257","created_at":"2026-05-18T01:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"UQHRUPO4FDNV","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"UQHRUPO4FDNVFJQX","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"UQHRUPO4","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:5a64eb895189346fefd050b80833eec9b899f811bb07c33aac65feebb630ba6a","target":"graph","created_at":"2026-05-18T01:20:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Hospital readmissions are expensive and reflect the inadequacies in healthcare system. In the United States alone, treatment of readmitted diabetic patients exceeds 250 million dollars per year. Early identification of patients facing a high risk of readmission can enable healthcare providers to to conduct additional investigations and possibly prevent future readmissions. This not only improves the quality of care but also reduces the medical expenses on readmission. Machine learning methods have been leveraged on public health data to build a system for identifying diabetic patients facing a","authors_text":"Adil Zafar, Ankit Kumar, Malladihalli S Bhuvan, Vinith Kishore","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-02-12T22:51:11Z","title":"Identifying Diabetic Patients with High Risk of Readmission"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.04257","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0e74f92bcf2a7743ec693a8d1c146ab7441fd28652f51cea9e55e5c0c8f1823a","target":"record","created_at":"2026-05-18T01:20:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"af238156917fceb1a0c94b487ce2f77cd1f10a47ee4772c6ebbf313adbea7638","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-02-12T22:51:11Z","title_canon_sha256":"4abb18c24f7b8c3311f2e14ef5fab533e426ec308a44fd57b9f6bf4aee43478c"},"schema_version":"1.0","source":{"id":"1602.04257","kind":"arxiv","version":1}},"canonical_sha256":"a40f1a3ddc28db52a61737128aa033f86d76133c85bda1bfcb3b77c32a15851a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a40f1a3ddc28db52a61737128aa033f86d76133c85bda1bfcb3b77c32a15851a","first_computed_at":"2026-05-18T01:20:51.409949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:20:51.409949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EtwRjt8ujOanOabA0LlvBXdKN0L7WGxSQcT2YknCyflpZBiGKfW1nxDJZcpbCXuK9WQ8e2aAcPKx89B8Xl9rBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:20:51.410547Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.04257","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e74f92bcf2a7743ec693a8d1c146ab7441fd28652f51cea9e55e5c0c8f1823a","sha256:5a64eb895189346fefd050b80833eec9b899f811bb07c33aac65feebb630ba6a"],"state_sha256":"6543bd139d6a922fea3a5088a00cbdbdee2eadbd201b02dd214520ea56dbc86e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sh/QCv4K4tsztTj1in5WXNj2FHWuCS2p6HfcZvnDigY858LPATOc6hcE6U6FT487OvLQTGD4DdV5m0DoTGziAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T10:33:44.629897Z","bundle_sha256":"938c973fc18e7d6858f7049373c1923cd59ab61dffd0d374f1ba3309cd8e43fe"}}