{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:QAC7AOO7ZSP7DS3W4QMIFDXYE4","short_pith_number":"pith:QAC7AOO7","schema_version":"1.0","canonical_sha256":"8005f039dfcc9ff1cb76e418828ef82713a2b351096cf558a3df8f9fddf5b36a","source":{"kind":"arxiv","id":"2508.17605","version":1},"attestation_state":"computed","paper":{"title":"HotSpotter - Patterned Species Instance Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Charles V. Stewart, Daniel I. Rubenstein, Jonathan P. Crall, Siva R. Sundaresan, Tanya Y. Berger-Wolf","submitted_at":"2025-08-25T02:18:52Z","abstract_excerpt":"We present HotSpotter, a fast, accurate algorithm for identifying individual animals against a labeled database. It is not species specific and has been applied to Grevy's and plains zebras, giraffes, leopards, and lionfish. We describe two approaches, both based on extracting and matching keypoints or \"hotspots\". The first tests each new query image sequentially against each database image, generating a score for each database image in isolation, and ranking the results. The second, building on recent techniques for instance recognition, matches the query image against the database using a fa"},"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":"2508.17605","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-25T02:18:52Z","cross_cats_sorted":[],"title_canon_sha256":"0dcc9c55a79477f2fc991c92b7f0e1f20acdb3066e5dd8ff36d8067fe07916dc","abstract_canon_sha256":"704311cd8d0de776f188e9dfbd6e583d1d33150cbc1fd69917c8e85c270ffeef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:44.416393Z","signature_b64":"Jg+u9u0j/83kz0HqLIXbgbhcXMCWfiSCK2utND438F786oLaZiRzxGLyUhrnbDY7ZU8E+YhxdFo7h8Xkgbq8Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8005f039dfcc9ff1cb76e418828ef82713a2b351096cf558a3df8f9fddf5b36a","last_reissued_at":"2026-07-05T11:58:44.415875Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:44.415875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HotSpotter - Patterned Species Instance Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Charles V. Stewart, Daniel I. Rubenstein, Jonathan P. Crall, Siva R. Sundaresan, Tanya Y. Berger-Wolf","submitted_at":"2025-08-25T02:18:52Z","abstract_excerpt":"We present HotSpotter, a fast, accurate algorithm for identifying individual animals against a labeled database. It is not species specific and has been applied to Grevy's and plains zebras, giraffes, leopards, and lionfish. We describe two approaches, both based on extracting and matching keypoints or \"hotspots\". The first tests each new query image sequentially against each database image, generating a score for each database image in isolation, and ranking the results. The second, building on recent techniques for instance recognition, matches the query image against the database using a fa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17605","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/2508.17605/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":"2508.17605","created_at":"2026-07-05T11:58:44.415943+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.17605v1","created_at":"2026-07-05T11:58:44.415943+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17605","created_at":"2026-07-05T11:58:44.415943+00:00"},{"alias_kind":"pith_short_12","alias_value":"QAC7AOO7ZSP7","created_at":"2026-07-05T11:58:44.415943+00:00"},{"alias_kind":"pith_short_16","alias_value":"QAC7AOO7ZSP7DS3W","created_at":"2026-07-05T11:58:44.415943+00:00"},{"alias_kind":"pith_short_8","alias_value":"QAC7AOO7","created_at":"2026-07-05T11:58:44.415943+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/QAC7AOO7ZSP7DS3W4QMIFDXYE4","json":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4.json","graph_json":"https://pith.science/api/pith-number/QAC7AOO7ZSP7DS3W4QMIFDXYE4/graph.json","events_json":"https://pith.science/api/pith-number/QAC7AOO7ZSP7DS3W4QMIFDXYE4/events.json","paper":"https://pith.science/paper/QAC7AOO7"},"agent_actions":{"view_html":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4","download_json":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4.json","view_paper":"https://pith.science/paper/QAC7AOO7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.17605&json=true","fetch_graph":"https://pith.science/api/pith-number/QAC7AOO7ZSP7DS3W4QMIFDXYE4/graph.json","fetch_events":"https://pith.science/api/pith-number/QAC7AOO7ZSP7DS3W4QMIFDXYE4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4/action/storage_attestation","attest_author":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4/action/author_attestation","sign_citation":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4/action/citation_signature","submit_replication":"https://pith.science/pith/QAC7AOO7ZSP7DS3W4QMIFDXYE4/action/replication_record"}},"created_at":"2026-07-05T11:58:44.415943+00:00","updated_at":"2026-07-05T11:58:44.415943+00:00"}