{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:VVLZN2MBRFUACRH4VMYNCBAGEG","short_pith_number":"pith:VVLZN2MB","schema_version":"1.0","canonical_sha256":"ad5796e98189680144fcab30d104062188179816df343a2584d6827b77415bea","source":{"kind":"arxiv","id":"2607.17395","version":1},"attestation_state":"computed","paper":{"title":"Automating Visual Recognition of Leprosy in Wild Chimpanzees","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aissa Regalla, Anna C. Bowland, Dave Hodgson, Elena Bersacola, Katie I. Murray, Kimberley J. Hockings, Majid Mirmehdi, Manmohan D. Sharma, Marina Ramon, Markus Mueller, Otto Brookes, Tilo Burghardt","submitted_at":"2026-07-19T20:00:40Z","abstract_excerpt":"Leprosy (Mycobacterium leprae) has been confirmed in wild western chimpanzees (Pan troglodytes verus) in West Africa, presenting as clear and progressive visual symptoms. Manual review of camera-trap footage at landscape scale is infeasible, motivating the need for automated screening. We present the first deep learning pipeline for wildlife leprosy detection and contribute the PanLep300 dataset of 125,670 annotated bounding-box crops across 953 tracks from 303 camera-trap videos with ecologically-motivated splits that withhold whole individuals and camera installations. We benchmark spatial ("},"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":"2607.17395","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-19T20:00:40Z","cross_cats_sorted":[],"title_canon_sha256":"62e250cc37b146880cc33e42cad81bfdec7285d6462b6a4f2a1fb97f31b6833c","abstract_canon_sha256":"daee3f4a478643101976a14d5ced32bdcffc7fb0c92029a6a8363308c96aad45"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T01:21:30.966562Z","signature_b64":"CpIrdsZVR5Xo4l19V12d89inFT4OInbm5TM0n0vZk4sQwA+xVlaC2LXvFfNhPSsswo4F4xzuVYTdCPpVsrckCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad5796e98189680144fcab30d104062188179816df343a2584d6827b77415bea","last_reissued_at":"2026-07-21T01:21:30.965676Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T01:21:30.965676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automating Visual Recognition of Leprosy in Wild Chimpanzees","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aissa Regalla, Anna C. Bowland, Dave Hodgson, Elena Bersacola, Katie I. Murray, Kimberley J. Hockings, Majid Mirmehdi, Manmohan D. Sharma, Marina Ramon, Markus Mueller, Otto Brookes, Tilo Burghardt","submitted_at":"2026-07-19T20:00:40Z","abstract_excerpt":"Leprosy (Mycobacterium leprae) has been confirmed in wild western chimpanzees (Pan troglodytes verus) in West Africa, presenting as clear and progressive visual symptoms. Manual review of camera-trap footage at landscape scale is infeasible, motivating the need for automated screening. We present the first deep learning pipeline for wildlife leprosy detection and contribute the PanLep300 dataset of 125,670 annotated bounding-box crops across 953 tracks from 303 camera-trap videos with ecologically-motivated splits that withhold whole individuals and camera installations. We benchmark spatial ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.17395","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.17395/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":"2607.17395","created_at":"2026-07-21T01:21:30.966131+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.17395v1","created_at":"2026-07-21T01:21:30.966131+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.17395","created_at":"2026-07-21T01:21:30.966131+00:00"},{"alias_kind":"pith_short_12","alias_value":"VVLZN2MBRFUA","created_at":"2026-07-21T01:21:30.966131+00:00"},{"alias_kind":"pith_short_16","alias_value":"VVLZN2MBRFUACRH4","created_at":"2026-07-21T01:21:30.966131+00:00"},{"alias_kind":"pith_short_8","alias_value":"VVLZN2MB","created_at":"2026-07-21T01:21:30.966131+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/VVLZN2MBRFUACRH4VMYNCBAGEG","json":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG.json","graph_json":"https://pith.science/api/pith-number/VVLZN2MBRFUACRH4VMYNCBAGEG/graph.json","events_json":"https://pith.science/api/pith-number/VVLZN2MBRFUACRH4VMYNCBAGEG/events.json","paper":"https://pith.science/paper/VVLZN2MB"},"agent_actions":{"view_html":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG","download_json":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG.json","view_paper":"https://pith.science/paper/VVLZN2MB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.17395&json=true","fetch_graph":"https://pith.science/api/pith-number/VVLZN2MBRFUACRH4VMYNCBAGEG/graph.json","fetch_events":"https://pith.science/api/pith-number/VVLZN2MBRFUACRH4VMYNCBAGEG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG/action/storage_attestation","attest_author":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG/action/author_attestation","sign_citation":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG/action/citation_signature","submit_replication":"https://pith.science/pith/VVLZN2MBRFUACRH4VMYNCBAGEG/action/replication_record"}},"created_at":"2026-07-21T01:21:30.966131+00:00","updated_at":"2026-07-21T01:21:30.966131+00:00"}