{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:SFZCJYIOIQ67COPFQ2FRMXJE4H","short_pith_number":"pith:SFZCJYIO","schema_version":"1.0","canonical_sha256":"917224e10e443df139e5868b165d24e1cbef93ddf3753bca7160eec5ef6ce9b6","source":{"kind":"arxiv","id":"1511.07620","version":1},"attestation_state":"computed","paper":{"title":"Predicting Coronal Mass Ejections transit times to Earth with neural network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"B. Vr\\v{s}nak, D. Sudar, M. Dumbovi\\'c","submitted_at":"2015-11-24T09:26:46Z","abstract_excerpt":"Predicting transit times of Coronal Mass Ejections (CMEs) from their initial parameters is a very important subject, not only from the scientific perspective, but also because CMEs represent a hazard for human technology. We used a neural network to analyse transit times for 153 events with only two input parameters: initial velocity of the CME, $v$, and Central Meridian Distance, CMD, of its associated flare. We found that transit time dependence on $v$ is showing a typical drag-like pattern in the solar wind. The results show that the speed at which acceleration by drag changes to decelerati"},"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":"1511.07620","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2015-11-24T09:26:46Z","cross_cats_sorted":[],"title_canon_sha256":"41b9ab9a969de3a7f803c69bcac613be50bb20e35ee2ca95d60cbcbcfacbbc15","abstract_canon_sha256":"5f6a59780a7b8f514de455e734b8d893ee772cdf131f43b81307ca68da00c2c4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:51.722509Z","signature_b64":"mkfkAf3pGENL3IKdJIpA0kU7q7YdjctFfDLU/ejsxObHX3qk7AQSF5B6FG47dL9jAbbk+ihUPHFaLLEP98tDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"917224e10e443df139e5868b165d24e1cbef93ddf3753bca7160eec5ef6ce9b6","last_reissued_at":"2026-05-18T01:09:51.721858Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:51.721858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Predicting Coronal Mass Ejections transit times to Earth with neural network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"B. Vr\\v{s}nak, D. Sudar, M. Dumbovi\\'c","submitted_at":"2015-11-24T09:26:46Z","abstract_excerpt":"Predicting transit times of Coronal Mass Ejections (CMEs) from their initial parameters is a very important subject, not only from the scientific perspective, but also because CMEs represent a hazard for human technology. We used a neural network to analyse transit times for 153 events with only two input parameters: initial velocity of the CME, $v$, and Central Meridian Distance, CMD, of its associated flare. We found that transit time dependence on $v$ is showing a typical drag-like pattern in the solar wind. The results show that the speed at which acceleration by drag changes to decelerati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.07620","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":""},"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":"1511.07620","created_at":"2026-05-18T01:09:51.721949+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.07620v1","created_at":"2026-05-18T01:09:51.721949+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.07620","created_at":"2026-05-18T01:09:51.721949+00:00"},{"alias_kind":"pith_short_12","alias_value":"SFZCJYIOIQ67","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_16","alias_value":"SFZCJYIOIQ67COPF","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_8","alias_value":"SFZCJYIO","created_at":"2026-05-18T12:29:39.896362+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/SFZCJYIOIQ67COPFQ2FRMXJE4H","json":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H.json","graph_json":"https://pith.science/api/pith-number/SFZCJYIOIQ67COPFQ2FRMXJE4H/graph.json","events_json":"https://pith.science/api/pith-number/SFZCJYIOIQ67COPFQ2FRMXJE4H/events.json","paper":"https://pith.science/paper/SFZCJYIO"},"agent_actions":{"view_html":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H","download_json":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H.json","view_paper":"https://pith.science/paper/SFZCJYIO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.07620&json=true","fetch_graph":"https://pith.science/api/pith-number/SFZCJYIOIQ67COPFQ2FRMXJE4H/graph.json","fetch_events":"https://pith.science/api/pith-number/SFZCJYIOIQ67COPFQ2FRMXJE4H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H/action/storage_attestation","attest_author":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H/action/author_attestation","sign_citation":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H/action/citation_signature","submit_replication":"https://pith.science/pith/SFZCJYIOIQ67COPFQ2FRMXJE4H/action/replication_record"}},"created_at":"2026-05-18T01:09:51.721949+00:00","updated_at":"2026-05-18T01:09:51.721949+00:00"}