{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2MEJVX5PASHEH7UK4HYUR23GTG","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":"46e78c995596999050f5c2b8f63f36728cbeb4a3a6369cbe83f49fd0ae822b0d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-07-23T22:16:01Z","title_canon_sha256":"c9e3fa27748dffe351c775a1e5e9bee7e294497c8a81768ea87caeb1a716f340"},"schema_version":"1.0","source":{"id":"2407.16864","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.16864","created_at":"2026-07-05T08:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"2407.16864v1","created_at":"2026-07-05T08:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.16864","created_at":"2026-07-05T08:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"2MEJVX5PASHE","created_at":"2026-07-05T08:47:57Z"},{"alias_kind":"pith_short_16","alias_value":"2MEJVX5PASHEH7UK","created_at":"2026-07-05T08:47:57Z"},{"alias_kind":"pith_short_8","alias_value":"2MEJVX5P","created_at":"2026-07-05T08:47:57Z"}],"graph_snapshots":[{"event_id":"sha256:7e52f72603e1fd75908e67dd895e7fbb81bbba7c23ee75d96558e825d3360e96","target":"graph","created_at":"2026-07-05T08:47:57Z","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/2407.16864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In situ imageomics leverages machine learning techniques to infer biological traits from images collected in the field, or in situ, to study individuals organisms, groups of wildlife, and whole ecosystems. Such datasets provide real-time social and environmental context to inferred biological traits, which can enable new, data-driven conservation and ecosystem management. The development of machine learning techniques to extract biological traits from images are impeded by the volume and quality data required to train these models. Autonomous, unmanned aerial vehicles (UAVs), are well suited t","authors_text":"Charles V. Stewart, Christopher Stewart, Jenna M. Kline, Maksim Kholiavchenko, Otto Brookes, Tanya Berger-Wolf","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-07-23T22:16:01Z","title":"Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.16864","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":"sha256:0ccf8876ffd1def6eba18a501b0dcf3b82c8ce2517cdf8c214bbf2fa71dee220","target":"record","created_at":"2026-07-05T08:47:57Z","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":"46e78c995596999050f5c2b8f63f36728cbeb4a3a6369cbe83f49fd0ae822b0d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-07-23T22:16:01Z","title_canon_sha256":"c9e3fa27748dffe351c775a1e5e9bee7e294497c8a81768ea87caeb1a716f340"},"schema_version":"1.0","source":{"id":"2407.16864","kind":"arxiv","version":1}},"canonical_sha256":"d3089adfaf048e43fe8ae1f148eb66999c97435cb18d1907a0459c71b44c1dea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3089adfaf048e43fe8ae1f148eb66999c97435cb18d1907a0459c71b44c1dea","first_computed_at":"2026-07-05T08:47:57.687384Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:57.687384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZkC0K9F25O5Lz9B92GDmb2pI67j+WEsRy0Vo88s04nOG5Esv0O3FzD9nCaOZfzFy5YlrP/Dq7q1+hDz02hfIBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:57.687829Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.16864","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ccf8876ffd1def6eba18a501b0dcf3b82c8ce2517cdf8c214bbf2fa71dee220","sha256:7e52f72603e1fd75908e67dd895e7fbb81bbba7c23ee75d96558e825d3360e96"],"state_sha256":"e7efa5c7f70126ad347aaa93ee592ce47a9ba1e2e8cb74dfc932d4afbb3cac17"}