{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:TNW6NKJ4UT2VRKRXQTYLD3NVGG","short_pith_number":"pith:TNW6NKJ4","schema_version":"1.0","canonical_sha256":"9b6de6a93ca4f558aa3784f0b1edb531b72866ee4ce9e76066a409671ddc3b94","source":{"kind":"arxiv","id":"2502.02238","version":1},"attestation_state":"computed","paper":{"title":"Using ChatGPT to refine draft conceptual schemata in supply-driven design of multidimensional cubes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.DB","authors_text":"Stefano Rizzi","submitted_at":"2025-02-04T11:27:31Z","abstract_excerpt":"Refinement is a critical step in supply-driven conceptual design of multidimensional cubes because it can hardly be automated. In fact, it includes steps such as the labeling of attributes as descriptive and the removal of uninteresting attributes, thus relying on the end-users' requirements on the one hand, and on the semantics of measures, dimensions, and attributes on the other. As a consequence, it is normally carried out manually by designers in close collaboration with end-users. The goal of this work is to check whether LLMs can act as facilitators for the refinement task, so as to let "},"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":"2502.02238","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2025-02-04T11:27:31Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"b701a5e44fe6fd72d30d69c8c26ca61e1c72fbe68845e126e5e2c8d33c89c702","abstract_canon_sha256":"218e91f0aefe8779f857d18b0f0d0adc6aeb8bc1e27a2254dad157006454baa6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:09:25.865861Z","signature_b64":"aoAznNjZutkxsnz9rkOPML0vtvj90jQ02Hnscup6b5ztn6r9xnnXn9YoTapB56Lmn2Zm6rX9G9aHZKY9kMKGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b6de6a93ca4f558aa3784f0b1edb531b72866ee4ce9e76066a409671ddc3b94","last_reissued_at":"2026-07-05T10:09:25.865446Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:09:25.865446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Using ChatGPT to refine draft conceptual schemata in supply-driven design of multidimensional cubes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.DB","authors_text":"Stefano Rizzi","submitted_at":"2025-02-04T11:27:31Z","abstract_excerpt":"Refinement is a critical step in supply-driven conceptual design of multidimensional cubes because it can hardly be automated. In fact, it includes steps such as the labeling of attributes as descriptive and the removal of uninteresting attributes, thus relying on the end-users' requirements on the one hand, and on the semantics of measures, dimensions, and attributes on the other. As a consequence, it is normally carried out manually by designers in close collaboration with end-users. The goal of this work is to check whether LLMs can act as facilitators for the refinement task, so as to let "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.02238","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/2502.02238/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":"2502.02238","created_at":"2026-07-05T10:09:25.865504+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.02238v1","created_at":"2026-07-05T10:09:25.865504+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.02238","created_at":"2026-07-05T10:09:25.865504+00:00"},{"alias_kind":"pith_short_12","alias_value":"TNW6NKJ4UT2V","created_at":"2026-07-05T10:09:25.865504+00:00"},{"alias_kind":"pith_short_16","alias_value":"TNW6NKJ4UT2VRKRX","created_at":"2026-07-05T10:09:25.865504+00:00"},{"alias_kind":"pith_short_8","alias_value":"TNW6NKJ4","created_at":"2026-07-05T10:09:25.865504+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/TNW6NKJ4UT2VRKRXQTYLD3NVGG","json":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG.json","graph_json":"https://pith.science/api/pith-number/TNW6NKJ4UT2VRKRXQTYLD3NVGG/graph.json","events_json":"https://pith.science/api/pith-number/TNW6NKJ4UT2VRKRXQTYLD3NVGG/events.json","paper":"https://pith.science/paper/TNW6NKJ4"},"agent_actions":{"view_html":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG","download_json":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG.json","view_paper":"https://pith.science/paper/TNW6NKJ4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.02238&json=true","fetch_graph":"https://pith.science/api/pith-number/TNW6NKJ4UT2VRKRXQTYLD3NVGG/graph.json","fetch_events":"https://pith.science/api/pith-number/TNW6NKJ4UT2VRKRXQTYLD3NVGG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG/action/storage_attestation","attest_author":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG/action/author_attestation","sign_citation":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG/action/citation_signature","submit_replication":"https://pith.science/pith/TNW6NKJ4UT2VRKRXQTYLD3NVGG/action/replication_record"}},"created_at":"2026-07-05T10:09:25.865504+00:00","updated_at":"2026-07-05T10:09:25.865504+00:00"}