{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OB227OV2TX325DCDDSPF4I75DA","short_pith_number":"pith:OB227OV2","canonical_record":{"source":{"id":"2202.03415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2022-02-07T18:55:46Z","cross_cats_sorted":[],"title_canon_sha256":"f4fe77a5ff4e8484a40722d20df3098e160bd04f03e9f5d3a097c46457b7a389","abstract_canon_sha256":"464605b5058ccf3606957d1a67f468c82773528f0c426df9dc7e564aac618fd0"},"schema_version":"1.0"},"canonical_sha256":"7075afbaba9df7ae8c431c9e5e23fd180d17d4c997c7ad722cb831e703b10891","source":{"kind":"arxiv","id":"2202.03415","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03415","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03415v1","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03415","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"pith_short_12","alias_value":"OB227OV2TX32","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"pith_short_16","alias_value":"OB227OV2TX325DCD","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"pith_short_8","alias_value":"OB227OV2","created_at":"2026-07-05T03:54:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OB227OV2TX325DCDDSPF4I75DA","target":"record","payload":{"canonical_record":{"source":{"id":"2202.03415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2022-02-07T18:55:46Z","cross_cats_sorted":[],"title_canon_sha256":"f4fe77a5ff4e8484a40722d20df3098e160bd04f03e9f5d3a097c46457b7a389","abstract_canon_sha256":"464605b5058ccf3606957d1a67f468c82773528f0c426df9dc7e564aac618fd0"},"schema_version":"1.0"},"canonical_sha256":"7075afbaba9df7ae8c431c9e5e23fd180d17d4c997c7ad722cb831e703b10891","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:38.633960Z","signature_b64":"tacNEGLQj8XpOaKaaRfik2bKcX1F8F8NZy9mA4ITcuJtKptaRNLlGwjygurF2byZz6E1UPnahwxpp07/PWxeAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7075afbaba9df7ae8c431c9e5e23fd180d17d4c997c7ad722cb831e703b10891","last_reissued_at":"2026-07-05T03:54:38.633571Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:38.633571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.03415","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":"2026-07-05T03:54:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9jy/yQzRKxXJwP/oG4NbvAN/xrSooNLhi/pCpwNMxPALF1Qy7Zs5SYMPL1jfFYro/YCVyt7E7cQWUH0RXdwgDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:02:25.212464Z"},"content_sha256":"7e3fa5f470642d58e6f35680d1b9c3a52306958de734936522f5a3e998c9ff1a","schema_version":"1.0","event_id":"sha256:7e3fa5f470642d58e6f35680d1b9c3a52306958de734936522f5a3e998c9ff1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OB227OV2TX325DCDDSPF4I75DA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PopNet: Real-Time Population-Level Disease Prediction with Data Latency","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Cao Xiao, Jimeng Sun, Junyi Gao, Lucas M. Glass","submitted_at":"2022-02-07T18:55:46Z","abstract_excerpt":"Population-level disease prediction estimates the number of potential patients of particular diseases in some location at a future time based on (frequently updated) historical disease statistics. Existing approaches often assume the existing disease statistics are reliable and will not change. However, in practice, data collection is often time-consuming and has time delays, with both historical and current disease statistics being updated continuously. In this work, we propose a real-time population-level disease prediction model which captures data latency (PopNet) and incorporates the upda"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03415","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/2202.03415/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":"2026-07-05T03:54:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FOjbDO8eehHoTgjZ62ljcfKSNS3P4HBH1N/X9ChnVW5T+LV6G8lJ8stKCKM7ZyuIvCV2YmhG7UaNTOl/QKQXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:02:25.212831Z"},"content_sha256":"9833c64abc5cfeabb95f56ba6ca6a0fb607d2e036175b534f9c86e7b1b3e1181","schema_version":"1.0","event_id":"sha256:9833c64abc5cfeabb95f56ba6ca6a0fb607d2e036175b534f9c86e7b1b3e1181"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OB227OV2TX325DCDDSPF4I75DA/bundle.json","state_url":"https://pith.science/pith/OB227OV2TX325DCDDSPF4I75DA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OB227OV2TX325DCDDSPF4I75DA/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":"2026-07-06T15:02:25Z","links":{"resolver":"https://pith.science/pith/OB227OV2TX325DCDDSPF4I75DA","bundle":"https://pith.science/pith/OB227OV2TX325DCDDSPF4I75DA/bundle.json","state":"https://pith.science/pith/OB227OV2TX325DCDDSPF4I75DA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OB227OV2TX325DCDDSPF4I75DA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OB227OV2TX325DCDDSPF4I75DA","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":"464605b5058ccf3606957d1a67f468c82773528f0c426df9dc7e564aac618fd0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2022-02-07T18:55:46Z","title_canon_sha256":"f4fe77a5ff4e8484a40722d20df3098e160bd04f03e9f5d3a097c46457b7a389"},"schema_version":"1.0","source":{"id":"2202.03415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03415","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03415v1","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03415","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"pith_short_12","alias_value":"OB227OV2TX32","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"pith_short_16","alias_value":"OB227OV2TX325DCD","created_at":"2026-07-05T03:54:38Z"},{"alias_kind":"pith_short_8","alias_value":"OB227OV2","created_at":"2026-07-05T03:54:38Z"}],"graph_snapshots":[{"event_id":"sha256:9833c64abc5cfeabb95f56ba6ca6a0fb607d2e036175b534f9c86e7b1b3e1181","target":"graph","created_at":"2026-07-05T03:54:38Z","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/2202.03415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Population-level disease prediction estimates the number of potential patients of particular diseases in some location at a future time based on (frequently updated) historical disease statistics. Existing approaches often assume the existing disease statistics are reliable and will not change. However, in practice, data collection is often time-consuming and has time delays, with both historical and current disease statistics being updated continuously. In this work, we propose a real-time population-level disease prediction model which captures data latency (PopNet) and incorporates the upda","authors_text":"Cao Xiao, Jimeng Sun, Junyi Gao, Lucas M. Glass","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2022-02-07T18:55:46Z","title":"PopNet: Real-Time Population-Level Disease Prediction with Data Latency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03415","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":"sha256:7e3fa5f470642d58e6f35680d1b9c3a52306958de734936522f5a3e998c9ff1a","target":"record","created_at":"2026-07-05T03:54:38Z","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":"464605b5058ccf3606957d1a67f468c82773528f0c426df9dc7e564aac618fd0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2022-02-07T18:55:46Z","title_canon_sha256":"f4fe77a5ff4e8484a40722d20df3098e160bd04f03e9f5d3a097c46457b7a389"},"schema_version":"1.0","source":{"id":"2202.03415","kind":"arxiv","version":1}},"canonical_sha256":"7075afbaba9df7ae8c431c9e5e23fd180d17d4c997c7ad722cb831e703b10891","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7075afbaba9df7ae8c431c9e5e23fd180d17d4c997c7ad722cb831e703b10891","first_computed_at":"2026-07-05T03:54:38.633571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:38.633571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tacNEGLQj8XpOaKaaRfik2bKcX1F8F8NZy9mA4ITcuJtKptaRNLlGwjygurF2byZz6E1UPnahwxpp07/PWxeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:38.633960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.03415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e3fa5f470642d58e6f35680d1b9c3a52306958de734936522f5a3e998c9ff1a","sha256:9833c64abc5cfeabb95f56ba6ca6a0fb607d2e036175b534f9c86e7b1b3e1181"],"state_sha256":"eb1260bbabcb3cd8d614fe5b754837be1d6f037e068d04432837220977260f7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LEg2tvzcQPlpPsRm9+Nu7AzJl/65/Won5YJub/fpQfLu7iuaT3nO5ghqzb8Fs+DHbEdvzEny1eOOKhOf/rghAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:02:25.214909Z","bundle_sha256":"cfe66dff5523454ba3d6722ee971906c040336b017f5394b63edbaf056d244cd"}}