{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:FPCPMKJW3H5U3NCN4ORAPPDOMO","short_pith_number":"pith:FPCPMKJW","canonical_record":{"source":{"id":"1907.08237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-18T18:32:32Z","cross_cats_sorted":[],"title_canon_sha256":"c008c58fed7f055d629a66abed42302ada240ed52269abe4c2ef71230b4a9bed","abstract_canon_sha256":"d17ec1c0bc86e1f043d2f9e38f12dbd3bdd39700c0de89d7075fe186c6753e13"},"schema_version":"1.0"},"canonical_sha256":"2bc4f62936d9fb4db44de3a207bc6e639f8ef6576088cfcdf056d7104eac15fc","source":{"kind":"arxiv","id":"1907.08237","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.08237","created_at":"2026-05-17T23:40:10Z"},{"alias_kind":"arxiv_version","alias_value":"1907.08237v1","created_at":"2026-05-17T23:40:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.08237","created_at":"2026-05-17T23:40:10Z"},{"alias_kind":"pith_short_12","alias_value":"FPCPMKJW3H5U","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"FPCPMKJW3H5U3NCN","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"FPCPMKJW","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:FPCPMKJW3H5U3NCN4ORAPPDOMO","target":"record","payload":{"canonical_record":{"source":{"id":"1907.08237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-18T18:32:32Z","cross_cats_sorted":[],"title_canon_sha256":"c008c58fed7f055d629a66abed42302ada240ed52269abe4c2ef71230b4a9bed","abstract_canon_sha256":"d17ec1c0bc86e1f043d2f9e38f12dbd3bdd39700c0de89d7075fe186c6753e13"},"schema_version":"1.0"},"canonical_sha256":"2bc4f62936d9fb4db44de3a207bc6e639f8ef6576088cfcdf056d7104eac15fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:10.475942Z","signature_b64":"2LWKmv4OeojYzEI3eiJHRK9ic2chBKCAQydT9H5hEkVOgjpIuqpUiJOxXBHbYt2X6TLOpaXrbjDrdDLeQWTwDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2bc4f62936d9fb4db44de3a207bc6e639f8ef6576088cfcdf056d7104eac15fc","last_reissued_at":"2026-05-17T23:40:10.475455Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:10.475455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.08237","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":"2026-05-17T23:40:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"13OuTVymdV6U6BODlTndDtuIGMRCRHVtn9/0J2BRepSp9VmtYWgfUtHZvWvm+gxnplopPeQtdLuBMs5Hb0OrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:33:10.309459Z"},"content_sha256":"48bb0bb540747547b0fa7818ce0ff1746437d1c31947dc3f727af7dd506b2b2d","schema_version":"1.0","event_id":"sha256:48bb0bb540747547b0fa7818ce0ff1746437d1c31947dc3f727af7dd506b2b2d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:FPCPMKJW3H5U3NCN4ORAPPDOMO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change Patterns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Bob Kelley, Gigi Yuen-Reed, Huijing Jiang, Kevin Tran, Ta-Hsin Li, Thomas Halvorson","submitted_at":"2019-07-18T18:32:32Z","abstract_excerpt":"There is strong interest among payers to identify emerging healthcare cost drivers to support early intervention. However, many challenges arise in analyzing large, high dimensional, and noisy healthcare data. In this paper, we propose a systematic approach that utilizes hierarchical and multi-resolution search strategies using enhanced statistical process control (SPC) algorithms to surface high impact cost drivers. Our approach aims to provide interpretable, detailed, and actionable insights of detected change patterns attributing to multiple demographic and clinical factors. We also propose"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.08237","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":"2026-05-17T23:40:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JtvEWF7fT2Fk1giesgV1GCR0KQI7/2DywYp5WWlGu5WN6Yv2+JlRwxETNUkxoYqJCosEXBtKXdkjaNF/c5i0Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:33:10.309807Z"},"content_sha256":"d8694e407ff37c81134a41a9bc8aec181875d454d42c1c37ef733b86c06f1e3f","schema_version":"1.0","event_id":"sha256:d8694e407ff37c81134a41a9bc8aec181875d454d42c1c37ef733b86c06f1e3f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO/bundle.json","state_url":"https://pith.science/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO/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":"2026-06-12T09:33:10Z","links":{"resolver":"https://pith.science/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO","bundle":"https://pith.science/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO/bundle.json","state":"https://pith.science/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FPCPMKJW3H5U3NCN4ORAPPDOMO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:FPCPMKJW3H5U3NCN4ORAPPDOMO","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":"d17ec1c0bc86e1f043d2f9e38f12dbd3bdd39700c0de89d7075fe186c6753e13","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-18T18:32:32Z","title_canon_sha256":"c008c58fed7f055d629a66abed42302ada240ed52269abe4c2ef71230b4a9bed"},"schema_version":"1.0","source":{"id":"1907.08237","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.08237","created_at":"2026-05-17T23:40:10Z"},{"alias_kind":"arxiv_version","alias_value":"1907.08237v1","created_at":"2026-05-17T23:40:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.08237","created_at":"2026-05-17T23:40:10Z"},{"alias_kind":"pith_short_12","alias_value":"FPCPMKJW3H5U","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"FPCPMKJW3H5U3NCN","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"FPCPMKJW","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:d8694e407ff37c81134a41a9bc8aec181875d454d42c1c37ef733b86c06f1e3f","target":"graph","created_at":"2026-05-17T23:40:10Z","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":"There is strong interest among payers to identify emerging healthcare cost drivers to support early intervention. However, many challenges arise in analyzing large, high dimensional, and noisy healthcare data. In this paper, we propose a systematic approach that utilizes hierarchical and multi-resolution search strategies using enhanced statistical process control (SPC) algorithms to surface high impact cost drivers. Our approach aims to provide interpretable, detailed, and actionable insights of detected change patterns attributing to multiple demographic and clinical factors. We also propose","authors_text":"Bob Kelley, Gigi Yuen-Reed, Huijing Jiang, Kevin Tran, Ta-Hsin Li, Thomas Halvorson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-18T18:32:32Z","title":"A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change Patterns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.08237","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":"sha256:48bb0bb540747547b0fa7818ce0ff1746437d1c31947dc3f727af7dd506b2b2d","target":"record","created_at":"2026-05-17T23:40:10Z","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":"d17ec1c0bc86e1f043d2f9e38f12dbd3bdd39700c0de89d7075fe186c6753e13","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-18T18:32:32Z","title_canon_sha256":"c008c58fed7f055d629a66abed42302ada240ed52269abe4c2ef71230b4a9bed"},"schema_version":"1.0","source":{"id":"1907.08237","kind":"arxiv","version":1}},"canonical_sha256":"2bc4f62936d9fb4db44de3a207bc6e639f8ef6576088cfcdf056d7104eac15fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2bc4f62936d9fb4db44de3a207bc6e639f8ef6576088cfcdf056d7104eac15fc","first_computed_at":"2026-05-17T23:40:10.475455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:10.475455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2LWKmv4OeojYzEI3eiJHRK9ic2chBKCAQydT9H5hEkVOgjpIuqpUiJOxXBHbYt2X6TLOpaXrbjDrdDLeQWTwDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:10.475942Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.08237","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:48bb0bb540747547b0fa7818ce0ff1746437d1c31947dc3f727af7dd506b2b2d","sha256:d8694e407ff37c81134a41a9bc8aec181875d454d42c1c37ef733b86c06f1e3f"],"state_sha256":"319ed9f90a8bc4c9969ba4e4f23577c134401902034764f12072e7c0bf0e903e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/iKEbvpL9/5+emyvuHiyzNx4Fu9001aWXE46aNIklu6PiL+QDNlPtjdQhsGPdmNB6VzcsERGdraW7znvEVHZBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T09:33:10.311774Z","bundle_sha256":"9143a6592ec2ada2d746f4922a6195574ce54b33093ca9b11443daac7c3dcd49"}}