{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:Z4CRLPO45J74B5WPVGNSC3ANS2","short_pith_number":"pith:Z4CRLPO4","schema_version":"1.0","canonical_sha256":"cf0515bddcea7fc0f6cfa99b216c0d969eaf80fa97e7cf7e26aaa54eb672e53b","source":{"kind":"arxiv","id":"1903.09977","version":2},"attestation_state":"computed","paper":{"title":"Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Jin, Hao Shen, Lijun Zhao, Xian Wei, Xuan Tang, Yi Lu Murphey, Yuanxiang Li","submitted_at":"2019-03-24T12:06:49Z","abstract_excerpt":"There are some inadequacies in the language description of this paper that require further improvement. This paper is based on a revision of a conference paper. It is now necessary to further explain the difference between the contributions of the two papers."},"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":"1903.09977","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-24T12:06:49Z","cross_cats_sorted":[],"title_canon_sha256":"42c5fe061119e2c3c4cbaaa9a97d8d1b532e9de8614f4e1679522f9b393a7662","abstract_canon_sha256":"ccc4c48b3caa937e627047fad92e7e625d23d6e95efa158ea15d21ed2b9afca7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:18:26.338018Z","signature_b64":"1LN8obPt8n9tjJQluEiM8D/eRqnPsBxXsi8vDT/e52Qe69WJhFPGlrLkBFuKerYPBo95hAE9C+PaRI79SSEPCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf0515bddcea7fc0f6cfa99b216c0d969eaf80fa97e7cf7e26aaa54eb672e53b","last_reissued_at":"2026-07-05T00:18:26.337553Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:18:26.337553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Jin, Hao Shen, Lijun Zhao, Xian Wei, Xuan Tang, Yi Lu Murphey, Yuanxiang Li","submitted_at":"2019-03-24T12:06:49Z","abstract_excerpt":"There are some inadequacies in the language description of this paper that require further improvement. This paper is based on a revision of a conference paper. It is now necessary to further explain the difference between the contributions of the two papers."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.09977","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1903.09977/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":"1903.09977","created_at":"2026-07-05T00:18:26.337612+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.09977v2","created_at":"2026-07-05T00:18:26.337612+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.09977","created_at":"2026-07-05T00:18:26.337612+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z4CRLPO45J74","created_at":"2026-07-05T00:18:26.337612+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z4CRLPO45J74B5WP","created_at":"2026-07-05T00:18:26.337612+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z4CRLPO4","created_at":"2026-07-05T00:18:26.337612+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/Z4CRLPO45J74B5WPVGNSC3ANS2","json":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2.json","graph_json":"https://pith.science/api/pith-number/Z4CRLPO45J74B5WPVGNSC3ANS2/graph.json","events_json":"https://pith.science/api/pith-number/Z4CRLPO45J74B5WPVGNSC3ANS2/events.json","paper":"https://pith.science/paper/Z4CRLPO4"},"agent_actions":{"view_html":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2","download_json":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2.json","view_paper":"https://pith.science/paper/Z4CRLPO4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.09977&json=true","fetch_graph":"https://pith.science/api/pith-number/Z4CRLPO45J74B5WPVGNSC3ANS2/graph.json","fetch_events":"https://pith.science/api/pith-number/Z4CRLPO45J74B5WPVGNSC3ANS2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2/action/storage_attestation","attest_author":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2/action/author_attestation","sign_citation":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2/action/citation_signature","submit_replication":"https://pith.science/pith/Z4CRLPO45J74B5WPVGNSC3ANS2/action/replication_record"}},"created_at":"2026-07-05T00:18:26.337612+00:00","updated_at":"2026-07-05T00:18:26.337612+00:00"}