{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UY7CNAEDAC2U7WKJ2VAC7YPCTE","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":"db08129939f7c9e99a215ff5c97ae473d81b2d24c25913011ae1cab72ef2f476","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T20:25:27Z","title_canon_sha256":"43f95843dd394d68158b8155ba46916550c2bb7532e52fdef42c19e1f495f91b"},"schema_version":"1.0","source":{"id":"2506.04429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04429","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04429v1","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04429","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_12","alias_value":"UY7CNAEDAC2U","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_16","alias_value":"UY7CNAEDAC2U7WKJ","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_8","alias_value":"UY7CNAED","created_at":"2026-07-05T11:16:14Z"}],"graph_snapshots":[{"event_id":"sha256:b4ae6c895135bbf8f88304228c387859bbda73e5ea135b873939d3dece023443","target":"graph","created_at":"2026-07-05T11:16:14Z","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/2506.04429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Public health experts need scalable approaches to monitor large volumes of health data (e.g., cases, hospitalizations, deaths) for outbreaks or data quality issues. Traditional alert-based monitoring systems struggle with modern public health data monitoring systems for several reasons, including that alerting thresholds need to be constantly reset and the data volumes may cause application lag. Instead, we propose a ranking-based monitoring paradigm that leverages new AI anomaly detection methods. Through a multi-year interdisciplinary collaboration, the resulting system has been deployed at ","authors_text":"Ananya Joshi, Bryan Wilder, Nolan Gormley, Richa Gadgil, Roni Rosenfeld, Tina Townes","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T20:25:27Z","title":"An AI-Based Public Health Data Monitoring System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04429","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:d09ad9f8ab9f68b25c6a9cdd9aa8abfae68f4805f1b036bebe8111966d9f84bd","target":"record","created_at":"2026-07-05T11:16:14Z","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":"db08129939f7c9e99a215ff5c97ae473d81b2d24c25913011ae1cab72ef2f476","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T20:25:27Z","title_canon_sha256":"43f95843dd394d68158b8155ba46916550c2bb7532e52fdef42c19e1f495f91b"},"schema_version":"1.0","source":{"id":"2506.04429","kind":"arxiv","version":1}},"canonical_sha256":"a63e26808300b54fd949d5402fe1e2992481f933ba38ad0ae0dfd5d6653d4d9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a63e26808300b54fd949d5402fe1e2992481f933ba38ad0ae0dfd5d6653d4d9b","first_computed_at":"2026-07-05T11:16:14.254137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:14.254137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b00U9QJ8s7YNx5CJoJcxrvMskaVYC+9xbG0UAUMfdU266fLYircSLjZGF21TtbgzFeRrLkTqEf+ZGTVt+yXuDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:14.254582Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d09ad9f8ab9f68b25c6a9cdd9aa8abfae68f4805f1b036bebe8111966d9f84bd","sha256:b4ae6c895135bbf8f88304228c387859bbda73e5ea135b873939d3dece023443"],"state_sha256":"b146520888f55a3370d22e3c9f7b4b03a3314309bb3afc9498a7fefcee9ac409"}