{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:FPY6G4RYNNWVV3QNWA4W73R3SR","short_pith_number":"pith:FPY6G4RY","schema_version":"1.0","canonical_sha256":"2bf1e372386b6d5aee0db0396fee3b946a6393e86f25fa4dc2e20c7acabe3013","source":{"kind":"arxiv","id":"1603.04707","version":2},"attestation_state":"computed","paper":{"title":"Estimating the Probability of Wind Ramping Events: A Data-driven Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Cheng Wang, Feng Qiu, Jianhui Wang, Wei Wei","submitted_at":"2016-03-15T14:43:22Z","abstract_excerpt":"This letter proposes a data-driven method for estimating the probability of wind ramping events without exploiting the exact probability distribution function (PDF) of wind power. Actual wind data validates the proposed method."},"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":"1603.04707","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-03-15T14:43:22Z","cross_cats_sorted":[],"title_canon_sha256":"d0d15fc47466827daffc1b0cdf52c529fdba5f2441f94c42ac47571485aad665","abstract_canon_sha256":"e379fff93bb76eb238a8468d4822ea63f9280a2cc62732613a729d2fe50c9138"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:35.198783Z","signature_b64":"x3294qo/yD6SUZ1sWxpgW4kmslnDWv/uBIb226zAREXThTrbnAjAH9J2qBsHB0QXGVToT9OQQbI6sWIckCuXDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2bf1e372386b6d5aee0db0396fee3b946a6393e86f25fa4dc2e20c7acabe3013","last_reissued_at":"2026-05-18T01:18:35.198307Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:35.198307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estimating the Probability of Wind Ramping Events: A Data-driven Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Cheng Wang, Feng Qiu, Jianhui Wang, Wei Wei","submitted_at":"2016-03-15T14:43:22Z","abstract_excerpt":"This letter proposes a data-driven method for estimating the probability of wind ramping events without exploiting the exact probability distribution function (PDF) of wind power. Actual wind data validates the proposed method."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04707","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":""},"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":"1603.04707","created_at":"2026-05-18T01:18:35.198394+00:00"},{"alias_kind":"arxiv_version","alias_value":"1603.04707v2","created_at":"2026-05-18T01:18:35.198394+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04707","created_at":"2026-05-18T01:18:35.198394+00:00"},{"alias_kind":"pith_short_12","alias_value":"FPY6G4RYNNWV","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_16","alias_value":"FPY6G4RYNNWVV3QN","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_8","alias_value":"FPY6G4RY","created_at":"2026-05-18T12:30:15.759754+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/FPY6G4RYNNWVV3QNWA4W73R3SR","json":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR.json","graph_json":"https://pith.science/api/pith-number/FPY6G4RYNNWVV3QNWA4W73R3SR/graph.json","events_json":"https://pith.science/api/pith-number/FPY6G4RYNNWVV3QNWA4W73R3SR/events.json","paper":"https://pith.science/paper/FPY6G4RY"},"agent_actions":{"view_html":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR","download_json":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR.json","view_paper":"https://pith.science/paper/FPY6G4RY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1603.04707&json=true","fetch_graph":"https://pith.science/api/pith-number/FPY6G4RYNNWVV3QNWA4W73R3SR/graph.json","fetch_events":"https://pith.science/api/pith-number/FPY6G4RYNNWVV3QNWA4W73R3SR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR/action/storage_attestation","attest_author":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR/action/author_attestation","sign_citation":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR/action/citation_signature","submit_replication":"https://pith.science/pith/FPY6G4RYNNWVV3QNWA4W73R3SR/action/replication_record"}},"created_at":"2026-05-18T01:18:35.198394+00:00","updated_at":"2026-05-18T01:18:35.198394+00:00"}