{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KEWR3C5CBLMHTJZZ5OJOZRZSPQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"af589db65587fc58e4d9dc8aa738b39e388301a2dd9e537dc75cfcc94d93069b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-15T22:42:44Z","title_canon_sha256":"b5f24277fb3dccecb21ebb7d39c109f2b1563bee915c1fd631a29a427ae48d12"},"schema_version":"1.0","source":{"id":"2505.10737","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10737","created_at":"2026-07-05T11:04:04Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10737v1","created_at":"2026-07-05T11:04:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10737","created_at":"2026-07-05T11:04:04Z"},{"alias_kind":"pith_short_12","alias_value":"KEWR3C5CBLMH","created_at":"2026-07-05T11:04:04Z"},{"alias_kind":"pith_short_16","alias_value":"KEWR3C5CBLMHTJZZ","created_at":"2026-07-05T11:04:04Z"},{"alias_kind":"pith_short_8","alias_value":"KEWR3C5C","created_at":"2026-07-05T11:04:04Z"}],"graph_snapshots":[{"event_id":"sha256:2f9c025b534513536991efbe0aada55757f4d8449facc47a0aaa2a7686fdf7eb","target":"graph","created_at":"2026-07-05T11:04:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.10737/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in deep learning and aerial imaging have transformed wildlife monitoring, enabling researchers to survey wildlife populations at unprecedented scales. Unmanned Aerial Vehicles (UAVs) provide a cost-effective means of capturing high-resolution imagery, particularly for monitoring densely populated seabird colonies. In this study, we assess the performance of a general-purpose avian detection model, BirdDetector, in estimating the breeding population of Salvin's albatross (Thalassarche salvini) on the Bounty Islands, New Zealand. Using drone-derived imagery, we evaluate the m","authors_text":"Bing Xue, Isla Duporge, Johannes Fischer, Klemens P\\\"utz, Mengjie Zhang, Mitchell Rogers, Theo Thompson, Thomas Mattern","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-15T22:42:44Z","title":"Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10737","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ec7342d4de96ff9d53161d49bc7fbaa776c96d45e112bb144b9deb1fc59e3ac9","target":"record","created_at":"2026-07-05T11:04:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"af589db65587fc58e4d9dc8aa738b39e388301a2dd9e537dc75cfcc94d93069b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-15T22:42:44Z","title_canon_sha256":"b5f24277fb3dccecb21ebb7d39c109f2b1563bee915c1fd631a29a427ae48d12"},"schema_version":"1.0","source":{"id":"2505.10737","kind":"arxiv","version":1}},"canonical_sha256":"512d1d8ba20ad879a739eb92ecc7327c25255320e863c45f3dcdef8cb754f71f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"512d1d8ba20ad879a739eb92ecc7327c25255320e863c45f3dcdef8cb754f71f","first_computed_at":"2026-07-05T11:04:04.635393Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:04.635393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dc8swbaTbzVhNi4zl+d/hxADSKexqqXuFNOmwZQ1euqhkDsT0uRrMAFg2ypT38DGZjfMQIm1Od4VBJOvxcWcCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:04.635855Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.10737","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec7342d4de96ff9d53161d49bc7fbaa776c96d45e112bb144b9deb1fc59e3ac9","sha256:2f9c025b534513536991efbe0aada55757f4d8449facc47a0aaa2a7686fdf7eb"],"state_sha256":"74d900ed4bc812f06b3a083dfb9c21f5c2969df314d393c89923c41379fef63c"}