{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:LBMV4SJ7YVSRWMZIVTEAIQ64B3","short_pith_number":"pith:LBMV4SJ7","schema_version":"1.0","canonical_sha256":"58595e493fc5651b3328acc80443dc0ee1fdc18dd9294c00d71d4c8e6f84614d","source":{"kind":"arxiv","id":"1712.00078","version":1},"attestation_state":"computed","paper":{"title":"Mining Precision Interfaces From Query Logs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Eugene Wu, Haoci Zhang, Thibault Sellam","submitted_at":"2017-11-30T21:03:24Z","abstract_excerpt":"Interactive tools make data analysis both more efficient and more accessible to a broad population. Simple interfaces such as Google Finance as well as complex visual exploration interfaces such as Tableau are effective because they are tailored to the desired user tasks. Yet, designing interactive interfaces requires technical expertise and domain knowledge. Experts are scarce and expensive, and therefore it is currently infeasible to provide tailored (or precise) interfaces for every user and every task.\n  We envision a data-driven approach to generate tailored interactive interfaces. We obs"},"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":"1712.00078","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-11-30T21:03:24Z","cross_cats_sorted":[],"title_canon_sha256":"4b4e78168578e9c8521137c5914398a8d217269538254a1ddd2d8d9147df746c","abstract_canon_sha256":"d2ad3745eedf6964e5926f4e2ec38e72139dbba2e07f3989e7f17fb56df98e4c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:07.434165Z","signature_b64":"JHfCBsvUh39KR64hKR2Y689H9CSLkE1cpry8iWDobVt/FySzY+FPh0tYwLvLdta+TsBjo0lFaTKsm1D+5iBACw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58595e493fc5651b3328acc80443dc0ee1fdc18dd9294c00d71d4c8e6f84614d","last_reissued_at":"2026-05-18T00:29:07.433430Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:07.433430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mining Precision Interfaces From Query Logs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Eugene Wu, Haoci Zhang, Thibault Sellam","submitted_at":"2017-11-30T21:03:24Z","abstract_excerpt":"Interactive tools make data analysis both more efficient and more accessible to a broad population. Simple interfaces such as Google Finance as well as complex visual exploration interfaces such as Tableau are effective because they are tailored to the desired user tasks. Yet, designing interactive interfaces requires technical expertise and domain knowledge. Experts are scarce and expensive, and therefore it is currently infeasible to provide tailored (or precise) interfaces for every user and every task.\n  We envision a data-driven approach to generate tailored interactive interfaces. We obs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00078","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":"1712.00078","created_at":"2026-05-18T00:29:07.433531+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.00078v1","created_at":"2026-05-18T00:29:07.433531+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00078","created_at":"2026-05-18T00:29:07.433531+00:00"},{"alias_kind":"pith_short_12","alias_value":"LBMV4SJ7YVSR","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_16","alias_value":"LBMV4SJ7YVSRWMZI","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_8","alias_value":"LBMV4SJ7","created_at":"2026-05-18T12:31:28.150371+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/LBMV4SJ7YVSRWMZIVTEAIQ64B3","json":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3.json","graph_json":"https://pith.science/api/pith-number/LBMV4SJ7YVSRWMZIVTEAIQ64B3/graph.json","events_json":"https://pith.science/api/pith-number/LBMV4SJ7YVSRWMZIVTEAIQ64B3/events.json","paper":"https://pith.science/paper/LBMV4SJ7"},"agent_actions":{"view_html":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3","download_json":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3.json","view_paper":"https://pith.science/paper/LBMV4SJ7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.00078&json=true","fetch_graph":"https://pith.science/api/pith-number/LBMV4SJ7YVSRWMZIVTEAIQ64B3/graph.json","fetch_events":"https://pith.science/api/pith-number/LBMV4SJ7YVSRWMZIVTEAIQ64B3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3/action/storage_attestation","attest_author":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3/action/author_attestation","sign_citation":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3/action/citation_signature","submit_replication":"https://pith.science/pith/LBMV4SJ7YVSRWMZIVTEAIQ64B3/action/replication_record"}},"created_at":"2026-05-18T00:29:07.433531+00:00","updated_at":"2026-05-18T00:29:07.433531+00:00"}