{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:QDV4QG4FCKQLP6S4IQ5M4XAPIU","short_pith_number":"pith:QDV4QG4F","schema_version":"1.0","canonical_sha256":"80ebc81b8512a0b7fa5c443ace5c0f4507f5fd36732000fba59354e1821b217b","source":{"kind":"arxiv","id":"1408.6589","version":1},"attestation_state":"computed","paper":{"title":"Uncertainty Aware Query Execution Time Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Hakan Hac{\\i}g\\\"um\\\"u\\c{s}, Jeffrey F. Naughton, Wentao Wu, Xi Wu","submitted_at":"2014-08-27T23:21:58Z","abstract_excerpt":"Predicting query execution time is a fundamental issue underlying many database management tasks. Existing predictors rely on information such as cardinality estimates and system performance constants that are difficult to know exactly. As a result, accurate prediction still remains elusive for many queries. However, existing predictors provide a single, point estimate of the true execution time, but fail to characterize the uncertainty in the prediction. In this paper, we take a first step towards providing uncertainty information along with query execution time predictions. We use the query "},"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":"1408.6589","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-08-27T23:21:58Z","cross_cats_sorted":[],"title_canon_sha256":"3a5439b6621f6b83b0ab4336c40e69d04373c3b5d81a34c99036ff9380a23033","abstract_canon_sha256":"4eb866307fb7b89792e28efb6f8abacbe49adfce6bf50d19446453f71390d6d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:44:01.277026Z","signature_b64":"z64IDAxtJ82NdiapiQF/nFrBOzU2KFJV3ozksL3//1qCkMg6ynGRIVvLBSCdHfV6obQOHIM8InHNFauytwVbDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80ebc81b8512a0b7fa5c443ace5c0f4507f5fd36732000fba59354e1821b217b","last_reissued_at":"2026-05-18T02:44:01.276559Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:44:01.276559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Uncertainty Aware Query Execution Time Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Hakan Hac{\\i}g\\\"um\\\"u\\c{s}, Jeffrey F. Naughton, Wentao Wu, Xi Wu","submitted_at":"2014-08-27T23:21:58Z","abstract_excerpt":"Predicting query execution time is a fundamental issue underlying many database management tasks. Existing predictors rely on information such as cardinality estimates and system performance constants that are difficult to know exactly. As a result, accurate prediction still remains elusive for many queries. However, existing predictors provide a single, point estimate of the true execution time, but fail to characterize the uncertainty in the prediction. In this paper, we take a first step towards providing uncertainty information along with query execution time predictions. We use the query "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.6589","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":"1408.6589","created_at":"2026-05-18T02:44:01.276620+00:00"},{"alias_kind":"arxiv_version","alias_value":"1408.6589v1","created_at":"2026-05-18T02:44:01.276620+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.6589","created_at":"2026-05-18T02:44:01.276620+00:00"},{"alias_kind":"pith_short_12","alias_value":"QDV4QG4FCKQL","created_at":"2026-05-18T12:28:43.426989+00:00"},{"alias_kind":"pith_short_16","alias_value":"QDV4QG4FCKQLP6S4","created_at":"2026-05-18T12:28:43.426989+00:00"},{"alias_kind":"pith_short_8","alias_value":"QDV4QG4F","created_at":"2026-05-18T12:28:43.426989+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/QDV4QG4FCKQLP6S4IQ5M4XAPIU","json":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU.json","graph_json":"https://pith.science/api/pith-number/QDV4QG4FCKQLP6S4IQ5M4XAPIU/graph.json","events_json":"https://pith.science/api/pith-number/QDV4QG4FCKQLP6S4IQ5M4XAPIU/events.json","paper":"https://pith.science/paper/QDV4QG4F"},"agent_actions":{"view_html":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU","download_json":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU.json","view_paper":"https://pith.science/paper/QDV4QG4F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1408.6589&json=true","fetch_graph":"https://pith.science/api/pith-number/QDV4QG4FCKQLP6S4IQ5M4XAPIU/graph.json","fetch_events":"https://pith.science/api/pith-number/QDV4QG4FCKQLP6S4IQ5M4XAPIU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU/action/storage_attestation","attest_author":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU/action/author_attestation","sign_citation":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU/action/citation_signature","submit_replication":"https://pith.science/pith/QDV4QG4FCKQLP6S4IQ5M4XAPIU/action/replication_record"}},"created_at":"2026-05-18T02:44:01.276620+00:00","updated_at":"2026-05-18T02:44:01.276620+00:00"}