{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BFKXKDKTCZGRFOXS3INGZQZQI6","short_pith_number":"pith:BFKXKDKT","canonical_record":{"source":{"id":"2304.02191","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T02:12:58Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"24cf87b6022f6dec156259e82e7a6391888540a23e69d5b54f9c7da8b83bb044","abstract_canon_sha256":"07dcda50d5cfa5ca32f7b21d5cb37e424105846f9c8111443e612376ed370f33"},"schema_version":"1.0"},"canonical_sha256":"0955750d53164d12baf2da1a6cc330478f70141a94859db5b64cf3ce25fc309f","source":{"kind":"arxiv","id":"2304.02191","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02191","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02191v1","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02191","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"pith_short_12","alias_value":"BFKXKDKTCZGR","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"pith_short_16","alias_value":"BFKXKDKTCZGRFOXS","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"pith_short_8","alias_value":"BFKXKDKT","created_at":"2026-07-05T05:58:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BFKXKDKTCZGRFOXS3INGZQZQI6","target":"record","payload":{"canonical_record":{"source":{"id":"2304.02191","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T02:12:58Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"24cf87b6022f6dec156259e82e7a6391888540a23e69d5b54f9c7da8b83bb044","abstract_canon_sha256":"07dcda50d5cfa5ca32f7b21d5cb37e424105846f9c8111443e612376ed370f33"},"schema_version":"1.0"},"canonical_sha256":"0955750d53164d12baf2da1a6cc330478f70141a94859db5b64cf3ce25fc309f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:58:22.951052Z","signature_b64":"ped2jJ0Ra2tVWMh4PtnDydCrOE4K13AgGmt7AaX/s/aU/dGRQDo2wpdd0wwA5lXBHI6ADCTEj01l4I+VlYFkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0955750d53164d12baf2da1a6cc330478f70141a94859db5b64cf3ce25fc309f","last_reissued_at":"2026-07-05T05:58:22.950574Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:58:22.950574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.02191","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":"2026-07-05T05:58:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"17mrrAs5MMicQ1hsKBnU4xktr+5Fx6dhXcfJPQ4wge+meiDL8k4K2ANFzx7DX9LenwvJdnZ6Q+391oylMxwVAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T04:39:35.308913Z"},"content_sha256":"1cb8176a3e4a6420b338509e0a7429f19e1d87341a8e95fde8a62b9df24e288a","schema_version":"1.0","event_id":"sha256:1cb8176a3e4a6420b338509e0a7429f19e1d87341a8e95fde8a62b9df24e288a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BFKXKDKTCZGRFOXS3INGZQZQI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Building predictive models of healthcare costs with open healthcare data","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.LG","authors_text":"A. Ravishankar Rao, Hang Peng, Soumyabrata Dey, Subrata Garai","submitted_at":"2023-04-05T02:12:58Z","abstract_excerpt":"Due to rapidly rising healthcare costs worldwide, there is significant interest in controlling them. An important aspect concerns price transparency, as preliminary efforts have demonstrated that patients will shop for lower costs, driving efficiency. This requires the data to be made available, and models that can predict healthcare costs for a wide range of patient demographics and conditions. We present an approach to this problem by developing a predictive model using machine-learning techniques. We analyzed de-identified patient data from New York State SPARCS (statewide planning and rese"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02191","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/2304.02191/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:58:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5mezDkgDOx878i/kqhiEUqPYrjdRGcxVfne2xIYQ+YVbGz/WaXl2eSu9b/4mPXb8Mmzcp1tzbvcjs8FeDMEgAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T04:39:35.309285Z"},"content_sha256":"9d4f93b78a3ebfdd1b698d842b21fdb1fd197a01bf1718c3c14c168a22738195","schema_version":"1.0","event_id":"sha256:9d4f93b78a3ebfdd1b698d842b21fdb1fd197a01bf1718c3c14c168a22738195"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BFKXKDKTCZGRFOXS3INGZQZQI6/bundle.json","state_url":"https://pith.science/pith/BFKXKDKTCZGRFOXS3INGZQZQI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BFKXKDKTCZGRFOXS3INGZQZQI6/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":"2026-07-16T04:39:35Z","links":{"resolver":"https://pith.science/pith/BFKXKDKTCZGRFOXS3INGZQZQI6","bundle":"https://pith.science/pith/BFKXKDKTCZGRFOXS3INGZQZQI6/bundle.json","state":"https://pith.science/pith/BFKXKDKTCZGRFOXS3INGZQZQI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BFKXKDKTCZGRFOXS3INGZQZQI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BFKXKDKTCZGRFOXS3INGZQZQI6","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":"07dcda50d5cfa5ca32f7b21d5cb37e424105846f9c8111443e612376ed370f33","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T02:12:58Z","title_canon_sha256":"24cf87b6022f6dec156259e82e7a6391888540a23e69d5b54f9c7da8b83bb044"},"schema_version":"1.0","source":{"id":"2304.02191","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02191","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02191v1","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02191","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"pith_short_12","alias_value":"BFKXKDKTCZGR","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"pith_short_16","alias_value":"BFKXKDKTCZGRFOXS","created_at":"2026-07-05T05:58:22Z"},{"alias_kind":"pith_short_8","alias_value":"BFKXKDKT","created_at":"2026-07-05T05:58:22Z"}],"graph_snapshots":[{"event_id":"sha256:9d4f93b78a3ebfdd1b698d842b21fdb1fd197a01bf1718c3c14c168a22738195","target":"graph","created_at":"2026-07-05T05:58:22Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2304.02191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to rapidly rising healthcare costs worldwide, there is significant interest in controlling them. An important aspect concerns price transparency, as preliminary efforts have demonstrated that patients will shop for lower costs, driving efficiency. This requires the data to be made available, and models that can predict healthcare costs for a wide range of patient demographics and conditions. We present an approach to this problem by developing a predictive model using machine-learning techniques. We analyzed de-identified patient data from New York State SPARCS (statewide planning and rese","authors_text":"A. Ravishankar Rao, Hang Peng, Soumyabrata Dey, Subrata Garai","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T02:12:58Z","title":"Building predictive models of healthcare costs with open healthcare data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02191","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":"sha256:1cb8176a3e4a6420b338509e0a7429f19e1d87341a8e95fde8a62b9df24e288a","target":"record","created_at":"2026-07-05T05:58:22Z","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":"07dcda50d5cfa5ca32f7b21d5cb37e424105846f9c8111443e612376ed370f33","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T02:12:58Z","title_canon_sha256":"24cf87b6022f6dec156259e82e7a6391888540a23e69d5b54f9c7da8b83bb044"},"schema_version":"1.0","source":{"id":"2304.02191","kind":"arxiv","version":1}},"canonical_sha256":"0955750d53164d12baf2da1a6cc330478f70141a94859db5b64cf3ce25fc309f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0955750d53164d12baf2da1a6cc330478f70141a94859db5b64cf3ce25fc309f","first_computed_at":"2026-07-05T05:58:22.950574Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:58:22.950574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ped2jJ0Ra2tVWMh4PtnDydCrOE4K13AgGmt7AaX/s/aU/dGRQDo2wpdd0wwA5lXBHI6ADCTEj01l4I+VlYFkDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:58:22.951052Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.02191","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cb8176a3e4a6420b338509e0a7429f19e1d87341a8e95fde8a62b9df24e288a","sha256:9d4f93b78a3ebfdd1b698d842b21fdb1fd197a01bf1718c3c14c168a22738195"],"state_sha256":"8d53cd747c0d74a79c9434f07f0ead8e9920dcf768c088b20e10de7d17b68d1c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P1NeBqLWuYJKS8WYCD+FTDQV73x1YNrrUW4WMbJc/mHElzQ9abbgONABYO49qpE3T8xPS4citp5jxlhbfh0gDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T04:39:35.311405Z","bundle_sha256":"8d545a2b4aec38729a0921d2332d62c5fb33bc9dfaeb5b7c595a0b7a9da0c0ca"}}