{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:WD5RLUSTRASRKAGY7FMR223ZS7","short_pith_number":"pith:WD5RLUST","schema_version":"1.0","canonical_sha256":"b0fb15d25388251500d8f9591d6b7997ef6fc3f3de229b833111682469e56664","source":{"kind":"arxiv","id":"1901.06080","version":1},"attestation_state":"computed","paper":{"title":"Accelerated Experimental Design for Pairwise Comparisons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DS","authors_text":"Deniz Erdogmus, Jayashree Kalpathy-Cramer, Jennifer Dy, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis, Susan Ostmo, Yuan Guo","submitted_at":"2019-01-18T04:17:25Z","abstract_excerpt":"Pairwise comparison labels are more informative and less variable than class labels, but generating them poses a challenge: their number grows quadratically in the dataset size. We study a natural experimental design objective, namely, D-optimality, that can be used to identify which $K$ pairwise comparisons to generate. This objective is known to perform well in practice, and is submodular, making the selection approximable via the greedy algorithm. A na\\\"ive greedy implementation has $O(N^2d^2K)$ complexity, where $N$ is the dataset size, $d$ is the feature space dimension, and $K$ is the nu"},"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":"1901.06080","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2019-01-18T04:17:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"afcaec492d53bcd41d6bc339e03731dd429964be2e68550fd9a1be34a2d72775","abstract_canon_sha256":"49734f8fd6ab22af9a8cf40038d61db959c05756d5f07c1156b259b8c3c8ba41"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:04.631107Z","signature_b64":"3UikuGGl3ErhHSpY7cf7ckQT+WFoCYxFQcOpcIf6+M15VSeDSiVlJ3Pt7AXbSjTKkX287LNM25xnQ1ZIUHy7AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0fb15d25388251500d8f9591d6b7997ef6fc3f3de229b833111682469e56664","last_reissued_at":"2026-05-17T23:56:04.630684Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:04.630684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accelerated Experimental Design for Pairwise Comparisons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DS","authors_text":"Deniz Erdogmus, Jayashree Kalpathy-Cramer, Jennifer Dy, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis, Susan Ostmo, Yuan Guo","submitted_at":"2019-01-18T04:17:25Z","abstract_excerpt":"Pairwise comparison labels are more informative and less variable than class labels, but generating them poses a challenge: their number grows quadratically in the dataset size. We study a natural experimental design objective, namely, D-optimality, that can be used to identify which $K$ pairwise comparisons to generate. This objective is known to perform well in practice, and is submodular, making the selection approximable via the greedy algorithm. A na\\\"ive greedy implementation has $O(N^2d^2K)$ complexity, where $N$ is the dataset size, $d$ is the feature space dimension, and $K$ is the nu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.06080","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":"1901.06080","created_at":"2026-05-17T23:56:04.630752+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.06080v1","created_at":"2026-05-17T23:56:04.630752+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.06080","created_at":"2026-05-17T23:56:04.630752+00:00"},{"alias_kind":"pith_short_12","alias_value":"WD5RLUSTRASR","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"WD5RLUSTRASRKAGY","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"WD5RLUST","created_at":"2026-05-18T12:33:30.264802+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/WD5RLUSTRASRKAGY7FMR223ZS7","json":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7.json","graph_json":"https://pith.science/api/pith-number/WD5RLUSTRASRKAGY7FMR223ZS7/graph.json","events_json":"https://pith.science/api/pith-number/WD5RLUSTRASRKAGY7FMR223ZS7/events.json","paper":"https://pith.science/paper/WD5RLUST"},"agent_actions":{"view_html":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7","download_json":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7.json","view_paper":"https://pith.science/paper/WD5RLUST","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.06080&json=true","fetch_graph":"https://pith.science/api/pith-number/WD5RLUSTRASRKAGY7FMR223ZS7/graph.json","fetch_events":"https://pith.science/api/pith-number/WD5RLUSTRASRKAGY7FMR223ZS7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7/action/storage_attestation","attest_author":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7/action/author_attestation","sign_citation":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7/action/citation_signature","submit_replication":"https://pith.science/pith/WD5RLUSTRASRKAGY7FMR223ZS7/action/replication_record"}},"created_at":"2026-05-17T23:56:04.630752+00:00","updated_at":"2026-05-17T23:56:04.630752+00:00"}