{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:OFMN2IAZKVCE7I4KJNG66NNKKC","short_pith_number":"pith:OFMN2IAZ","schema_version":"1.0","canonical_sha256":"7158dd201955444fa38a4b4def35aa50bd2757b1cfebbe4a4218396c12d4df67","source":{"kind":"arxiv","id":"1608.08336","version":2},"attestation_state":"computed","paper":{"title":"Low-rank Multi-view Clustering in Third-Order Tensor Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junbin Gao, Ming Yin, Shengli Xie, Yi Guo","submitted_at":"2016-08-30T05:57:31Z","abstract_excerpt":"The plenty information from multiple views data as well as the complementary information among different views are usually beneficial to various tasks, e.g., clustering, classification, de-noising. Multi-view subspace clustering is based on the fact that the multi-view data are generated from a latent subspace. To recover the underlying subspace structure, the success of the sparse and/or low-rank subspace clustering has been witnessed recently. Despite some state-of-the-art subspace clustering approaches can numerically handle multi-view data, by simultaneously exploring all possible pairwise"},"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":"1608.08336","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-30T05:57:31Z","cross_cats_sorted":[],"title_canon_sha256":"7ad8898f1b6ca59ca246c0145ef7bd964f1b34e3f3e635d759e22450a9026c43","abstract_canon_sha256":"abb0aa8ecab8869f225f48d3df069c2a862332474fa987687153f1724b34e8cc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:06:28.304764Z","signature_b64":"av/4Psqdu5gysVfA+sOyeluGtBxwx2cuKRNoF9oSXwOb6BxNxr1UMT/dndzS5Om/v6Cbb0zULqmHuuBXHLAADQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7158dd201955444fa38a4b4def35aa50bd2757b1cfebbe4a4218396c12d4df67","last_reissued_at":"2026-05-18T01:06:28.304264Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:06:28.304264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low-rank Multi-view Clustering in Third-Order Tensor Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junbin Gao, Ming Yin, Shengli Xie, Yi Guo","submitted_at":"2016-08-30T05:57:31Z","abstract_excerpt":"The plenty information from multiple views data as well as the complementary information among different views are usually beneficial to various tasks, e.g., clustering, classification, de-noising. Multi-view subspace clustering is based on the fact that the multi-view data are generated from a latent subspace. To recover the underlying subspace structure, the success of the sparse and/or low-rank subspace clustering has been witnessed recently. Despite some state-of-the-art subspace clustering approaches can numerically handle multi-view data, by simultaneously exploring all possible pairwise"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08336","kind":"arxiv","version":2},"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":"1608.08336","created_at":"2026-05-18T01:06:28.304338+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.08336v2","created_at":"2026-05-18T01:06:28.304338+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08336","created_at":"2026-05-18T01:06:28.304338+00:00"},{"alias_kind":"pith_short_12","alias_value":"OFMN2IAZKVCE","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"OFMN2IAZKVCE7I4K","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"OFMN2IAZ","created_at":"2026-05-18T12:30:36.002864+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/OFMN2IAZKVCE7I4KJNG66NNKKC","json":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC.json","graph_json":"https://pith.science/api/pith-number/OFMN2IAZKVCE7I4KJNG66NNKKC/graph.json","events_json":"https://pith.science/api/pith-number/OFMN2IAZKVCE7I4KJNG66NNKKC/events.json","paper":"https://pith.science/paper/OFMN2IAZ"},"agent_actions":{"view_html":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC","download_json":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC.json","view_paper":"https://pith.science/paper/OFMN2IAZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.08336&json=true","fetch_graph":"https://pith.science/api/pith-number/OFMN2IAZKVCE7I4KJNG66NNKKC/graph.json","fetch_events":"https://pith.science/api/pith-number/OFMN2IAZKVCE7I4KJNG66NNKKC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC/action/storage_attestation","attest_author":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC/action/author_attestation","sign_citation":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC/action/citation_signature","submit_replication":"https://pith.science/pith/OFMN2IAZKVCE7I4KJNG66NNKKC/action/replication_record"}},"created_at":"2026-05-18T01:06:28.304338+00:00","updated_at":"2026-05-18T01:06:28.304338+00:00"}