{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:5L2JOZQQDDDFOWPFGGU35F2GCI","short_pith_number":"pith:5L2JOZQQ","schema_version":"1.0","canonical_sha256":"eaf497661018c65759e531a9be97461210c6bfdce2e4b48036484222ae0565f1","source":{"kind":"arxiv","id":"2210.17146","version":2},"attestation_state":"computed","paper":{"title":"LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guiqiong Liu, Han Yang, Junrui Liu, Ling Sun, Shiping Yang, Xunping Jiang, Xu Wang","submitted_at":"2022-10-31T08:54:21Z","abstract_excerpt":"With the demand for standardized large-scale livestock farming and the development of artificial intelligence technology, a lot of research in area of animal face recognition were carried on pigs, cattle, sheep and other livestock. Face recognition consists of three sub-task: face detection, face normalizing and face identification. Most of animal face recognition study focuses on face detection and face identification. Animals are often uncooperative when taking photos, so the collected animal face images are often in arbitrary directions. The use of non-standard images may significantly redu"},"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":"2210.17146","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-31T08:54:21Z","cross_cats_sorted":[],"title_canon_sha256":"d4d3ba63637e569feff8078741b15b8542e8f642bfd532380df2224bc7f83e2c","abstract_canon_sha256":"fca6558361813d05225c9411869f650725250cc24d29102bf14a8f1d17d02050"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:13:39.832197Z","signature_b64":"QKSK1FeJr368iQir5NIP/Pe9NrGee5NfGnuLN6EYVV6Erp+agVvDcccE+jdSf+X4fgSNWjRR9Kqhv2AZopgdCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eaf497661018c65759e531a9be97461210c6bfdce2e4b48036484222ae0565f1","last_reissued_at":"2026-07-05T05:13:39.831726Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:13:39.831726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guiqiong Liu, Han Yang, Junrui Liu, Ling Sun, Shiping Yang, Xunping Jiang, Xu Wang","submitted_at":"2022-10-31T08:54:21Z","abstract_excerpt":"With the demand for standardized large-scale livestock farming and the development of artificial intelligence technology, a lot of research in area of animal face recognition were carried on pigs, cattle, sheep and other livestock. Face recognition consists of three sub-task: face detection, face normalizing and face identification. Most of animal face recognition study focuses on face detection and face identification. Animals are often uncooperative when taking photos, so the collected animal face images are often in arbitrary directions. The use of non-standard images may significantly redu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.17146","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/2210.17146/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":"2210.17146","created_at":"2026-07-05T05:13:39.831785+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.17146v2","created_at":"2026-07-05T05:13:39.831785+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.17146","created_at":"2026-07-05T05:13:39.831785+00:00"},{"alias_kind":"pith_short_12","alias_value":"5L2JOZQQDDDF","created_at":"2026-07-05T05:13:39.831785+00:00"},{"alias_kind":"pith_short_16","alias_value":"5L2JOZQQDDDFOWPF","created_at":"2026-07-05T05:13:39.831785+00:00"},{"alias_kind":"pith_short_8","alias_value":"5L2JOZQQ","created_at":"2026-07-05T05:13:39.831785+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/5L2JOZQQDDDFOWPFGGU35F2GCI","json":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI.json","graph_json":"https://pith.science/api/pith-number/5L2JOZQQDDDFOWPFGGU35F2GCI/graph.json","events_json":"https://pith.science/api/pith-number/5L2JOZQQDDDFOWPFGGU35F2GCI/events.json","paper":"https://pith.science/paper/5L2JOZQQ"},"agent_actions":{"view_html":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI","download_json":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI.json","view_paper":"https://pith.science/paper/5L2JOZQQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.17146&json=true","fetch_graph":"https://pith.science/api/pith-number/5L2JOZQQDDDFOWPFGGU35F2GCI/graph.json","fetch_events":"https://pith.science/api/pith-number/5L2JOZQQDDDFOWPFGGU35F2GCI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI/action/storage_attestation","attest_author":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI/action/author_attestation","sign_citation":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI/action/citation_signature","submit_replication":"https://pith.science/pith/5L2JOZQQDDDFOWPFGGU35F2GCI/action/replication_record"}},"created_at":"2026-07-05T05:13:39.831785+00:00","updated_at":"2026-07-05T05:13:39.831785+00:00"}