{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JGSOCQ6P5RPNGFNGWY5JQJ5AIQ","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":"3714ee3b6508359ca14fda533ea4a5ce7bd0e5b3cc24ffb25b75a6d6f94513e8","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-09-23T22:35:43Z","title_canon_sha256":"123297344c3ae3033ee1705fa681a719bd6b7121079774cadd48d3d73d5103e6"},"schema_version":"1.0","source":{"id":"2009.11407","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.11407","created_at":"2026-07-05T02:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2009.11407v2","created_at":"2026-07-05T02:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.11407","created_at":"2026-07-05T02:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"JGSOCQ6P5RPN","created_at":"2026-07-05T02:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"JGSOCQ6P5RPNGFNG","created_at":"2026-07-05T02:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"JGSOCQ6P","created_at":"2026-07-05T02:01:45Z"}],"graph_snapshots":[{"event_id":"sha256:c121b4ccf20fca1c5453138ff71875e57eaeda7d713b996478ea71a1c5ae5131","target":"graph","created_at":"2026-07-05T02:01:45Z","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/2009.11407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecasting influenza in a timely manner aids health organizations and policymakers in adequate preparation and decision making. However, effective influenza forecasting still remains a challenge despite increasing research interest. It is even more challenging amidst the COVID pandemic, when the influenza-like illness (ILI) counts are affected by various factors such as symptomatic similarities with COVID-19 and shift in healthcare seeking patterns of the general population. Under the current pandemic, historical influenza models carry valuable expertise about the disease dynamics but face di","authors_text":"Alexander Rodr\\'iguez, Anika Tabassum, B. Aditya Prakash, Bijaya Adhikari, Naren Ramakrishnan, Nikhil Muralidhar","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-09-23T22:35:43Z","title":"Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.11407","kind":"arxiv","version":2},"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:f0b3120c560133c0eab1fa192df30c95d24e8be0e46cd0946f3561cd42030862","target":"record","created_at":"2026-07-05T02:01:45Z","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":"3714ee3b6508359ca14fda533ea4a5ce7bd0e5b3cc24ffb25b75a6d6f94513e8","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-09-23T22:35:43Z","title_canon_sha256":"123297344c3ae3033ee1705fa681a719bd6b7121079774cadd48d3d73d5103e6"},"schema_version":"1.0","source":{"id":"2009.11407","kind":"arxiv","version":2}},"canonical_sha256":"49a4e143cfec5ed315a6b63a9827a04428b0638d4be43a17502ee8437de0c2e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49a4e143cfec5ed315a6b63a9827a04428b0638d4be43a17502ee8437de0c2e9","first_computed_at":"2026-07-05T02:01:45.142858Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:01:45.142858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aIiD1rhgkONKCp/JHyaOUvdmDAWcGPfzA1tqsHPpxfLxzU3xvjApAXartSfSNvZcOP1R876BreCEcopogY6JBg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:01:45.143376Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.11407","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0b3120c560133c0eab1fa192df30c95d24e8be0e46cd0946f3561cd42030862","sha256:c121b4ccf20fca1c5453138ff71875e57eaeda7d713b996478ea71a1c5ae5131"],"state_sha256":"abbd54f0284eece9786f525f3178bdf5e0b221cd7cd6508de9e0aa9dc7eb1f59"}