{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:7DQF64FLSJ6RQAKLSIW74WQDAU","short_pith_number":"pith:7DQF64FL","schema_version":"1.0","canonical_sha256":"f8e05f70ab927d18014b922dfe5a03053a29faa5893cde96ac5097ec14911eb4","source":{"kind":"arxiv","id":"1609.05020","version":1},"attestation_state":"computed","paper":{"title":"A Formal Algebra for OLAP","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Alejandro Vaisman, Bart Kuijpers","submitted_at":"2016-09-16T12:17:34Z","abstract_excerpt":"Online Analytical Processing (OLAP) comprises tools and algorithms that allow querying multidimensional databases. It is based on the multidimensional model, where data can be seen as a cube, where each cell contains one or more measures can be aggregated along dimensions. Despite the extensive corpus of work in the field, a standard language for OLAP is still needed, since there is no well-defined, accepted semantics, for many of the usual OLAP operations. In this paper, we address this problem, and present a set of operations for manipulating a data cube. We clearly define the semantics of t"},"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":"1609.05020","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2016-09-16T12:17:34Z","cross_cats_sorted":[],"title_canon_sha256":"a21664aa2ceb148d79dbd4393c64c97fc120a35b8eaee549b735c51ad809551a","abstract_canon_sha256":"fdc0513fe075fee4a6decb8252287660f3aafa5e0b26b137106baa92e198a6a7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:04:31.799983Z","signature_b64":"CmR2Y38rx+88gzp08aMmgWlvgqZfpdyMRRGpkjerbKfLouzVJFz2qT5CdNUApsZNuEeSbFWA9OQu6hfwKhvlBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8e05f70ab927d18014b922dfe5a03053a29faa5893cde96ac5097ec14911eb4","last_reissued_at":"2026-05-18T01:04:31.799237Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:04:31.799237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Formal Algebra for OLAP","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Alejandro Vaisman, Bart Kuijpers","submitted_at":"2016-09-16T12:17:34Z","abstract_excerpt":"Online Analytical Processing (OLAP) comprises tools and algorithms that allow querying multidimensional databases. It is based on the multidimensional model, where data can be seen as a cube, where each cell contains one or more measures can be aggregated along dimensions. Despite the extensive corpus of work in the field, a standard language for OLAP is still needed, since there is no well-defined, accepted semantics, for many of the usual OLAP operations. In this paper, we address this problem, and present a set of operations for manipulating a data cube. We clearly define the semantics of t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.05020","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":"1609.05020","created_at":"2026-05-18T01:04:31.799375+00:00"},{"alias_kind":"arxiv_version","alias_value":"1609.05020v1","created_at":"2026-05-18T01:04:31.799375+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.05020","created_at":"2026-05-18T01:04:31.799375+00:00"},{"alias_kind":"pith_short_12","alias_value":"7DQF64FLSJ6R","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_16","alias_value":"7DQF64FLSJ6RQAKL","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_8","alias_value":"7DQF64FL","created_at":"2026-05-18T12:30:04.600751+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/7DQF64FLSJ6RQAKLSIW74WQDAU","json":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU.json","graph_json":"https://pith.science/api/pith-number/7DQF64FLSJ6RQAKLSIW74WQDAU/graph.json","events_json":"https://pith.science/api/pith-number/7DQF64FLSJ6RQAKLSIW74WQDAU/events.json","paper":"https://pith.science/paper/7DQF64FL"},"agent_actions":{"view_html":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU","download_json":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU.json","view_paper":"https://pith.science/paper/7DQF64FL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1609.05020&json=true","fetch_graph":"https://pith.science/api/pith-number/7DQF64FLSJ6RQAKLSIW74WQDAU/graph.json","fetch_events":"https://pith.science/api/pith-number/7DQF64FLSJ6RQAKLSIW74WQDAU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU/action/storage_attestation","attest_author":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU/action/author_attestation","sign_citation":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU/action/citation_signature","submit_replication":"https://pith.science/pith/7DQF64FLSJ6RQAKLSIW74WQDAU/action/replication_record"}},"created_at":"2026-05-18T01:04:31.799375+00:00","updated_at":"2026-05-18T01:04:31.799375+00:00"}