{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:U7CFKBCRLAJOPBUUYNDELEW2N7","short_pith_number":"pith:U7CFKBCR","canonical_record":{"source":{"id":"2506.02303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-02T22:46:17Z","cross_cats_sorted":[],"title_canon_sha256":"130612bf604706ea48a8ad7b0a2adc2949ff5177c6daf25969b6d1473e334133","abstract_canon_sha256":"33f6950483a43290b33eb06280cb009e3d12f662547aca88663cacfbd6c6bb00"},"schema_version":"1.0"},"canonical_sha256":"a7c45504515812e78694c3464592da6fd954b20bf4dce74f8ccf34bcc430d056","source":{"kind":"arxiv","id":"2506.02303","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02303","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02303v1","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02303","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"U7CFKBCRLAJO","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"U7CFKBCRLAJOPBUU","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"U7CFKBCR","created_at":"2026-07-05T11:14:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:U7CFKBCRLAJOPBUUYNDELEW2N7","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-02T22:46:17Z","cross_cats_sorted":[],"title_canon_sha256":"130612bf604706ea48a8ad7b0a2adc2949ff5177c6daf25969b6d1473e334133","abstract_canon_sha256":"33f6950483a43290b33eb06280cb009e3d12f662547aca88663cacfbd6c6bb00"},"schema_version":"1.0"},"canonical_sha256":"a7c45504515812e78694c3464592da6fd954b20bf4dce74f8ccf34bcc430d056","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:36.047617Z","signature_b64":"OsKiXMw5xY5ieh2OOouuXI4HnFEDZdiRX4920aYlNHvuB2ztsD3BK/JKLJwgpGkSkxxeNkue9GITF9MPQk3jCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7c45504515812e78694c3464592da6fd954b20bf4dce74f8ccf34bcc430d056","last_reissued_at":"2026-07-05T11:14:36.047169Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:36.047169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02303","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":"2026-07-05T11:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jc/ut1HJwveDFMjQLUetXaQDx0vfD6/3DfPJR1JyZIxjGmlWZzQ0/efuRT9blxIIXtW0kWe7xciwt7E7ffdtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:12:28.108701Z"},"content_sha256":"4718d2ea1c2f592125c21b2b26842fad31583b1369b30615cc707e92e16fbad9","schema_version":"1.0","event_id":"sha256:4718d2ea1c2f592125c21b2b26842fad31583b1369b30615cc707e92e16fbad9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:U7CFKBCRLAJOPBUUYNDELEW2N7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alex Edwards, Courtney Yarbrough, Emily N Peterson, Hannah Cooper, Lance A Waller, Martha Wetzel","submitted_at":"2025-06-02T22:46:17Z","abstract_excerpt":"County-level estimates of opioid use disorder (OUD) are essential for understanding the influence of local economic and social conditions. They provide policymakers with the granular information needed to identify, target, and implement effective interventions and allocate resources appropriately. Traditional disease mapping methods typically rely on Poisson regression, modeling observed counts while adjusting for local covariates that are treated as fixed and known. However, these methods may fail to capture the complexities and uncertainties in areas with sparse or absent data. To address th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02303","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/2506.02303/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":"2026-07-05T11:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lcS1XH4nj/lUzQSyGPsluAv8MiYC7woLYTNUN9zUOdwvYEQZ+6zdeNAAXLdCuN2R9dx4yDxY+KQnD13vKiytCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:12:28.109075Z"},"content_sha256":"10e09e2586a3fe150e6c4b702334062cd86472b1632eda3dc7f25c4473df8fcb","schema_version":"1.0","event_id":"sha256:10e09e2586a3fe150e6c4b702334062cd86472b1632eda3dc7f25c4473df8fcb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U7CFKBCRLAJOPBUUYNDELEW2N7/bundle.json","state_url":"https://pith.science/pith/U7CFKBCRLAJOPBUUYNDELEW2N7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U7CFKBCRLAJOPBUUYNDELEW2N7/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":"2026-07-07T12:12:28Z","links":{"resolver":"https://pith.science/pith/U7CFKBCRLAJOPBUUYNDELEW2N7","bundle":"https://pith.science/pith/U7CFKBCRLAJOPBUUYNDELEW2N7/bundle.json","state":"https://pith.science/pith/U7CFKBCRLAJOPBUUYNDELEW2N7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U7CFKBCRLAJOPBUUYNDELEW2N7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:U7CFKBCRLAJOPBUUYNDELEW2N7","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":"33f6950483a43290b33eb06280cb009e3d12f662547aca88663cacfbd6c6bb00","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-02T22:46:17Z","title_canon_sha256":"130612bf604706ea48a8ad7b0a2adc2949ff5177c6daf25969b6d1473e334133"},"schema_version":"1.0","source":{"id":"2506.02303","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02303","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02303v1","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02303","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"U7CFKBCRLAJO","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"U7CFKBCRLAJOPBUU","created_at":"2026-07-05T11:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"U7CFKBCR","created_at":"2026-07-05T11:14:36Z"}],"graph_snapshots":[{"event_id":"sha256:10e09e2586a3fe150e6c4b702334062cd86472b1632eda3dc7f25c4473df8fcb","target":"graph","created_at":"2026-07-05T11:14:36Z","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/2506.02303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"County-level estimates of opioid use disorder (OUD) are essential for understanding the influence of local economic and social conditions. They provide policymakers with the granular information needed to identify, target, and implement effective interventions and allocate resources appropriately. Traditional disease mapping methods typically rely on Poisson regression, modeling observed counts while adjusting for local covariates that are treated as fixed and known. However, these methods may fail to capture the complexities and uncertainties in areas with sparse or absent data. To address th","authors_text":"Alex Edwards, Courtney Yarbrough, Emily N Peterson, Hannah Cooper, Lance A Waller, Martha Wetzel","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-02T22:46:17Z","title":"A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02303","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":"sha256:4718d2ea1c2f592125c21b2b26842fad31583b1369b30615cc707e92e16fbad9","target":"record","created_at":"2026-07-05T11:14:36Z","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":"33f6950483a43290b33eb06280cb009e3d12f662547aca88663cacfbd6c6bb00","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-02T22:46:17Z","title_canon_sha256":"130612bf604706ea48a8ad7b0a2adc2949ff5177c6daf25969b6d1473e334133"},"schema_version":"1.0","source":{"id":"2506.02303","kind":"arxiv","version":1}},"canonical_sha256":"a7c45504515812e78694c3464592da6fd954b20bf4dce74f8ccf34bcc430d056","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7c45504515812e78694c3464592da6fd954b20bf4dce74f8ccf34bcc430d056","first_computed_at":"2026-07-05T11:14:36.047169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:36.047169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OsKiXMw5xY5ieh2OOouuXI4HnFEDZdiRX4920aYlNHvuB2ztsD3BK/JKLJwgpGkSkxxeNkue9GITF9MPQk3jCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:36.047617Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02303","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4718d2ea1c2f592125c21b2b26842fad31583b1369b30615cc707e92e16fbad9","sha256:10e09e2586a3fe150e6c4b702334062cd86472b1632eda3dc7f25c4473df8fcb"],"state_sha256":"2a004674556ea9cc8ab6cad149bdd64673b83bb18e04440d7ca054f866f0448e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"daq5FIFvk7LRr/0Kg1v/RC1Jqj3wOPQTjIHUzn7vvdZrLYdINmmHUfdEOwTYOG5wWxmjplnwpvxu3L/hq2zrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:12:28.111957Z","bundle_sha256":"4010ea50433ec08d34881b2040a27ff6c804e64c672a24739ba471fdc9e64b0f"}}