{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GDB7R5QOFVBWNIZM3TIQZENDJL","short_pith_number":"pith:GDB7R5QO","schema_version":"1.0","canonical_sha256":"30c3f8f60e2d4366a32cdcd10c91a34ae59e1228a06649a6cc458e33b7a22cc8","source":{"kind":"arxiv","id":"2606.14440","version":2},"attestation_state":"computed","paper":{"title":"Realtime forecasting of solar energetic particle event and proton flux using multi-source solar observations and multi-task deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.space-ph"],"primary_cat":"astro-ph.SR","authors_text":"Kathryn Whitman, Lulu Zhao, Tamas Gombosi, Ward Manchester, Yang Chen, Yian Yu","submitted_at":"2026-06-12T13:21:07Z","abstract_excerpt":"Solar energetic particle (SEP) events, defined by proton flux exceeding 10 pfu in the > 10 MeV channel, pose major risks to spacecraft operations, astronaut safety, and high-latitude aviation. Due to the complexity and rarity of SEP events, reliable operational SEP forecasting remains an important challenge in space weather. Here we present a novel 24-hour-ahead realtime forecasting framework, SEPNET-PRISM, based on a multi-task learning structure and a thoroughly constructed list of features from multiple sources spanning multiple solar cycles, that jointly predicts SEP event occurrence and f"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.14440","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2026-06-12T13:21:07Z","cross_cats_sorted":["physics.space-ph"],"title_canon_sha256":"7565de40806332e1acb23a64b17c0a8f4acbf2629228493bf18d4a036ef8e2e4","abstract_canon_sha256":"275d66c5a073c4d670a7f1b8bf5f39f291431f4adffa1517f80dd5f13a8d908f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T02:19:20.088424Z","signature_b64":"eLxIyR0ZWv9IbbKzP8Zr/3icZqy9dFAYhI9dEzckwxzKKq+bjrMoHCoAQK95ZlueYKnF+t7Pd+gM0vpiAdZXBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30c3f8f60e2d4366a32cdcd10c91a34ae59e1228a06649a6cc458e33b7a22cc8","last_reissued_at":"2026-07-20T02:19:20.087447Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T02:19:20.087447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Realtime forecasting of solar energetic particle event and proton flux using multi-source solar observations and multi-task deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.space-ph"],"primary_cat":"astro-ph.SR","authors_text":"Kathryn Whitman, Lulu Zhao, Tamas Gombosi, Ward Manchester, Yang Chen, Yian Yu","submitted_at":"2026-06-12T13:21:07Z","abstract_excerpt":"Solar energetic particle (SEP) events, defined by proton flux exceeding 10 pfu in the > 10 MeV channel, pose major risks to spacecraft operations, astronaut safety, and high-latitude aviation. Due to the complexity and rarity of SEP events, reliable operational SEP forecasting remains an important challenge in space weather. Here we present a novel 24-hour-ahead realtime forecasting framework, SEPNET-PRISM, based on a multi-task learning structure and a thoroughly constructed list of features from multiple sources spanning multiple solar cycles, that jointly predicts SEP event occurrence and f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14440","kind":"arxiv","version":2},"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/2606.14440/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.14440","created_at":"2026-07-20T02:19:20.087919+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.14440v2","created_at":"2026-07-20T02:19:20.087919+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14440","created_at":"2026-07-20T02:19:20.087919+00:00"},{"alias_kind":"pith_short_12","alias_value":"GDB7R5QOFVBW","created_at":"2026-07-20T02:19:20.087919+00:00"},{"alias_kind":"pith_short_16","alias_value":"GDB7R5QOFVBWNIZM","created_at":"2026-07-20T02:19:20.087919+00:00"},{"alias_kind":"pith_short_8","alias_value":"GDB7R5QO","created_at":"2026-07-20T02:19:20.087919+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL","json":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL.json","graph_json":"https://pith.science/api/pith-number/GDB7R5QOFVBWNIZM3TIQZENDJL/graph.json","events_json":"https://pith.science/api/pith-number/GDB7R5QOFVBWNIZM3TIQZENDJL/events.json","paper":"https://pith.science/paper/GDB7R5QO"},"agent_actions":{"view_html":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL","download_json":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL.json","view_paper":"https://pith.science/paper/GDB7R5QO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.14440&json=true","fetch_graph":"https://pith.science/api/pith-number/GDB7R5QOFVBWNIZM3TIQZENDJL/graph.json","fetch_events":"https://pith.science/api/pith-number/GDB7R5QOFVBWNIZM3TIQZENDJL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL/action/storage_attestation","attest_author":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL/action/author_attestation","sign_citation":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL/action/citation_signature","submit_replication":"https://pith.science/pith/GDB7R5QOFVBWNIZM3TIQZENDJL/action/replication_record"}},"created_at":"2026-07-20T02:19:20.087919+00:00","updated_at":"2026-07-20T02:19:20.087919+00:00"}