{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:FTHKNUY2RFWJVM27CUBLI5L72F","short_pith_number":"pith:FTHKNUY2","schema_version":"1.0","canonical_sha256":"2ccea6d31a896c9ab35f1502b4757fd1529efab20c921c5affdae10c505a28f8","source":{"kind":"arxiv","id":"2607.16160","version":1},"attestation_state":"computed","paper":{"title":"SEP-PRISM Data: A multi-source dataset for solar energetic particle forecasting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Kathryn Whitman, Lulu Zhao, Tamas Gombosi, Ward Manchester, Yang Chen, Yian Yu","submitted_at":"2026-07-17T17:39:52Z","abstract_excerpt":"Solar energetic particle (SEP) event forecasting often involves integrating heterogeneous observations that differ in cadence, temporal coverage, format, and historical availability, posing challenges for reproducible analysis of data-driven approaches. This paper presents SEP-PRISM Data, a curated multi-source dataset designed for 24-hour ahead forecasting of operational SEP events, defined by proton flux exceeding 10 pfu in the GOES > 10 MeV channel. SEP-PRISM Data integrates flare records, active-region magnetic field parameters, coronal mass ejection (CME) catalogue data, GOES soft X-ray 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":"2607.16160","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2026-07-17T17:39:52Z","cross_cats_sorted":[],"title_canon_sha256":"b7dba31cca02c5013de94c25f6ad0e7e407e5b7ccd05af8a94a9cd43595e9d81","abstract_canon_sha256":"663d8bd7494e4a36f76d26cf30aef010f4b50b22884893772095943ae384c417"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T02:19:36.860876Z","signature_b64":"eFN/WcxFlfGYdeo77ZIbocpejZErS/k0sV6ha08MsPsj2aeJ7WNurCaOh06hw/SdoIXqOtlLVyHVBYJX/1d7Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ccea6d31a896c9ab35f1502b4757fd1529efab20c921c5affdae10c505a28f8","last_reissued_at":"2026-07-20T02:19:36.859974Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T02:19:36.859974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SEP-PRISM Data: A multi-source dataset for solar energetic particle forecasting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Kathryn Whitman, Lulu Zhao, Tamas Gombosi, Ward Manchester, Yang Chen, Yian Yu","submitted_at":"2026-07-17T17:39:52Z","abstract_excerpt":"Solar energetic particle (SEP) event forecasting often involves integrating heterogeneous observations that differ in cadence, temporal coverage, format, and historical availability, posing challenges for reproducible analysis of data-driven approaches. This paper presents SEP-PRISM Data, a curated multi-source dataset designed for 24-hour ahead forecasting of operational SEP events, defined by proton flux exceeding 10 pfu in the GOES > 10 MeV channel. SEP-PRISM Data integrates flare records, active-region magnetic field parameters, coronal mass ejection (CME) catalogue data, GOES soft X-ray f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16160","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/2607.16160/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":"2607.16160","created_at":"2026-07-20T02:19:36.860444+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.16160v1","created_at":"2026-07-20T02:19:36.860444+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16160","created_at":"2026-07-20T02:19:36.860444+00:00"},{"alias_kind":"pith_short_12","alias_value":"FTHKNUY2RFWJ","created_at":"2026-07-20T02:19:36.860444+00:00"},{"alias_kind":"pith_short_16","alias_value":"FTHKNUY2RFWJVM27","created_at":"2026-07-20T02:19:36.860444+00:00"},{"alias_kind":"pith_short_8","alias_value":"FTHKNUY2","created_at":"2026-07-20T02:19:36.860444+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/FTHKNUY2RFWJVM27CUBLI5L72F","json":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F.json","graph_json":"https://pith.science/api/pith-number/FTHKNUY2RFWJVM27CUBLI5L72F/graph.json","events_json":"https://pith.science/api/pith-number/FTHKNUY2RFWJVM27CUBLI5L72F/events.json","paper":"https://pith.science/paper/FTHKNUY2"},"agent_actions":{"view_html":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F","download_json":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F.json","view_paper":"https://pith.science/paper/FTHKNUY2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.16160&json=true","fetch_graph":"https://pith.science/api/pith-number/FTHKNUY2RFWJVM27CUBLI5L72F/graph.json","fetch_events":"https://pith.science/api/pith-number/FTHKNUY2RFWJVM27CUBLI5L72F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F/action/storage_attestation","attest_author":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F/action/author_attestation","sign_citation":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F/action/citation_signature","submit_replication":"https://pith.science/pith/FTHKNUY2RFWJVM27CUBLI5L72F/action/replication_record"}},"created_at":"2026-07-20T02:19:36.860444+00:00","updated_at":"2026-07-20T02:19:36.860444+00:00"}