{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:QFZXWC3KUICP4L4F7BFXH4IAYN","short_pith_number":"pith:QFZXWC3K","schema_version":"1.0","canonical_sha256":"81737b0b6aa204fe2f85f84b73f100c359b691e0a9d0fb3c6f6a6220714004fc","source":{"kind":"arxiv","id":"1703.05794","version":1},"attestation_state":"computed","paper":{"title":"Incorporating Covariates into Integrated Factor Analysis of Multi-View Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Gen Li, Sungkyu Jung","submitted_at":"2017-03-16T19:04:22Z","abstract_excerpt":"In modern biomedical research, it is ubiquitous to have multiple data sets measured on the same set of samples from different views (i.e., multi-view data). For example, in genetic studies, multiple genomic data sets at different molecular levels or from different cell types are measured for a common set of individuals to investigate genetic regulation. Integration and reduction of multi-view data have the potential to leverage information in different data sets, and to reduce the magnitude and complexity of data for further statistical analysis and interpretation. In this paper, we develop a "},"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":"1703.05794","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-16T19:04:22Z","cross_cats_sorted":[],"title_canon_sha256":"8d2fbcded4833d5a2ef19cb77d40eb14bf9d607685ae0f4fc62b6a7f587a2abd","abstract_canon_sha256":"b372eb7e428da4eb94dbc2be62a709d0fc0ca4dfa9eab73a87fe746619963d7a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:32.083693Z","signature_b64":"yHNLs5w4+qgFKtJ1z/oCB0BHPUig7+J9TBttA2CvuYsRnKLFg4M15fVHKGkjkfDW13Rz+Qf/5rDAf5q/GxIoDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81737b0b6aa204fe2f85f84b73f100c359b691e0a9d0fb3c6f6a6220714004fc","last_reissued_at":"2026-05-18T00:48:32.083179Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:32.083179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Incorporating Covariates into Integrated Factor Analysis of Multi-View Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Gen Li, Sungkyu Jung","submitted_at":"2017-03-16T19:04:22Z","abstract_excerpt":"In modern biomedical research, it is ubiquitous to have multiple data sets measured on the same set of samples from different views (i.e., multi-view data). For example, in genetic studies, multiple genomic data sets at different molecular levels or from different cell types are measured for a common set of individuals to investigate genetic regulation. Integration and reduction of multi-view data have the potential to leverage information in different data sets, and to reduce the magnitude and complexity of data for further statistical analysis and interpretation. In this paper, we develop a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.05794","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":"1703.05794","created_at":"2026-05-18T00:48:32.083243+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.05794v1","created_at":"2026-05-18T00:48:32.083243+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.05794","created_at":"2026-05-18T00:48:32.083243+00:00"},{"alias_kind":"pith_short_12","alias_value":"QFZXWC3KUICP","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"QFZXWC3KUICP4L4F","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"QFZXWC3K","created_at":"2026-05-18T12:31:37.085036+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/QFZXWC3KUICP4L4F7BFXH4IAYN","json":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN.json","graph_json":"https://pith.science/api/pith-number/QFZXWC3KUICP4L4F7BFXH4IAYN/graph.json","events_json":"https://pith.science/api/pith-number/QFZXWC3KUICP4L4F7BFXH4IAYN/events.json","paper":"https://pith.science/paper/QFZXWC3K"},"agent_actions":{"view_html":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN","download_json":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN.json","view_paper":"https://pith.science/paper/QFZXWC3K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.05794&json=true","fetch_graph":"https://pith.science/api/pith-number/QFZXWC3KUICP4L4F7BFXH4IAYN/graph.json","fetch_events":"https://pith.science/api/pith-number/QFZXWC3KUICP4L4F7BFXH4IAYN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN/action/storage_attestation","attest_author":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN/action/author_attestation","sign_citation":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN/action/citation_signature","submit_replication":"https://pith.science/pith/QFZXWC3KUICP4L4F7BFXH4IAYN/action/replication_record"}},"created_at":"2026-05-18T00:48:32.083243+00:00","updated_at":"2026-05-18T00:48:32.083243+00:00"}