{"as_of":"2026-08-08T23:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b205609e1c7962ef3ec7167c13218813e0ea9bd088b2e2e5861222392298bd13","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:48:02.562648Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.20956/citation-record","integrity":"/paper/2505.20956/integrity","json":"/paper/2505.20956/citation-record.json","paper":"/paper/2505.20956"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:09.073758Z","title":"Robust sound event detection in bioacoustic sensor networks,","venue":null,"work_id":"af504ff4-e7df-4559-96e4-cd7b49a67718","year":2019},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:59.455354Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:bd8f0205f72c3f371b3f4bfe56c71cc1467362608a9a84bd0550036567d83020","observation_id":"dc99ebe1-3e45-4403-ae23-1706b90a55ab","resolution":{"observed_at":"2026-08-07T13:48:09.154047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:08.883501Z","title":"Computational bioacoustics with deep learning: a review and roadmap,","venue":null,"work_id":"78ad923f-b27e-4540-bb12-6154bb0356b6","year":2022},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:59.508093Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:a15f877a9ba6304520342d303433d06608440b92634c0735aa35ad30a7260b98","observation_id":"a858a2e6-c71f-4323-acd2-c27f3e8c4091","resolution":{"observed_at":"2026-08-07T13:48:08.976369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:08.673803Z","title":"Deep machine learning techniques for the detection and classification of sperm whale bioacoustics,","venue":null,"work_id":"2d69d27f-34ac-4790-91bc-c74f4006b087","year":2019},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:59.671219Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:ee12fecfc22c23d3ac1d7fab19f22bf3d253cf2601c128d35d1001c6f167f625","observation_id":"39977bdf-468f-47c0-bc14-95b70fbbdd64","resolution":{"observed_at":"2026-08-07T13:48:08.775830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:47:59.764768Z","title":"BirdNET: A deep learning solution for avian diversity monitoring,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:59.764768Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:8dbbb68aef21602316250c66c00c7353822062c7c97d47f7f3ce3486bc6ac8ae","observation_id":"ebb316b5-e616-400a-a110-35c11a5d9f5c","resolution":{"observed_at":"2026-08-07T13:47:59.764768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:47:59.918859Z","title":"Bioacoustic event detection with self-supervised contrastive learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:59.918859Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:a8dc0ec021f1fe67c3030366337014afa662e288f797b8c5d77ab1935fc2db13","observation_id":"252b0ec4-56c8-4506-8db4-b7f29c3a4af6","resolution":{"observed_at":"2026-08-07T13:47:59.918859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01253","last_updated":"2026-04-14T08:49:24Z","snapshot_observed_at":"2026-07-06T18:24:21.774341Z","submitted_at":"2024-06-03T12:11:01Z","title":"animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01253","snapshot_observed_at":"2026-08-07T13:47:59.978883Z","title":"animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:59.978883Z"},"links":{"cited_paper":"/paper/2406.01253","citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:54cc58c80139c3c4ac0f5bf3471a01dbf506197e38723874513882489935219c","observation_id":"a6023612-2cbc-4d52-b969-2ff34798145e","resolution":{"observed_at":"2026-08-07T13:47:59.978883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:08.454279Z","title":"Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo- labeling,","venue":null,"work_id":"2a01b148-0d1e-43e0-aa05-1a4a5ab20bb8","year":2020},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.061160Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:c2f0fbaf4974a5bb113a189ec3dbcf43b1f1df2faea53f50084b7ce9be9a2189","observation_id":"800646a0-8a19-493c-a6f2-e64af867c9e7","resolution":{"observed_at":"2026-08-07T13:48:08.530069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:08.252879Z","title":"Transformer- based bioacoustic sound event detection on few-shot learning tasks,","venue":null,"work_id":"5ca9f526-c9a2-4df1-bb4d-ede93d8ea65d","year":2023},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.140571Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:ce1143d39d9c1fbdd25a4e6e21d42f74d291b1814aac2365cf5a48f69bab1fbb","observation_id":"f53a9db9-7e57-4dee-a30a-1a4571ebe10c","resolution":{"observed_at":"2026-08-07T13:48:08.320019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:08.016607Z","title":"Regularized Contrastive Pre- training for Few-shot Bioacoustic Sound Detection,","venue":null,"work_id":"d611ddd6-2d21-4b90-8c08-71d458ff2d44","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.220983Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:2ad78c9a3e1f29c15cfae392f3dcef80addf0b0a2504e465ac5d4743f8fd8b54","observation_id":"85f67ca1-a260-4a90-841d-07742d22c304","resolution":{"observed_at":"2026-08-07T13:48:08.103466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:07.764007Z","title":"Active learning literature survey,","venue":null,"work_id":"620dbd4c-249f-4b9d-9aa3-0e971943a8bf","year":2009},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.352756Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:ad207de8e4c6a6000b505cd2a1b3291f1f401566954da417b31ee8fc53bf0570","observation_id":"f9ad1f10-5545-435f-bd6f-47d8991b84c1","resolution":{"observed_at":"2026-08-07T13:48:07.850865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:07.484694Z","title":"Active learning for efficient audio annotation and classification with a large amount of unlabeled data,","venue":null,"work_id":"28695d05-321f-4c90-9efa-e2ecb6ed88e3","year":2019},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.484747Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:585b3008555fb0f3c5ddcc9e5594610df03a105cce6667a4e5c4d2cd81efb022","observation_id":"55e92349-c517-4784-86e8-3a7edcfc6ea0","resolution":{"observed_at":"2026-08-07T13:48:07.638871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:07.242626Z","title":"Active Learning for Sound Event Detection,","venue":null,"work_id":"5102b3b6-2d84-4db8-aa22-bf9fd03825ad","year":2020},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.592086Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:25d5f01b844d3102843dd01007eec10b68ee2c3548819d01021d0b57819db6a6","observation_id":"1c318c6d-45e7-47e1-8686-ad1072c57152","resolution":{"observed_at":"2026-08-07T13:48:07.359323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:07.058967Z","title":"Active learning for sound event classification by clustering unlabeled data,","venue":null,"work_id":"b2c73be5-183b-4c5d-8cb2-611617be13b8","year":2017},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.750249Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:b3a0bb5ad9c0bdd21e4e99722f35f892d8502485189559e5b820b7c60ef47564","observation_id":"67f60922-5adf-4f3f-a0fa-70d30350fc80","resolution":{"observed_at":"2026-08-07T13:48:07.142380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:06.823699Z","title":"An improved computational bioacoustic monitoring approach for sparse features detection,","venue":null,"work_id":"1a36b86b-39be-45c2-b8ab-d6f89864ddaa","year":2023},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.832744Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:f8d8b958839e1e7f4d8aa497dba8eac4146349604e94e3cd46a31669c82f88c3","observation_id":"c6887fba-8e07-48e1-85eb-ba00a2bfdfee","resolution":{"observed_at":"2026-08-07T13:48:06.934767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:06.348178Z","title":null,"venue":null,"work_id":"c8247562-4e11-4ea4-8339-f6a66e2dc235","year":2023},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:00.947835Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:abe91936ff2c179075e30450931428784e1bb027129fcd6efcf8fd99d3512494","observation_id":"8a3a9d8a-a99f-4214-9aee-5e869380eec6","resolution":{"observed_at":"2026-08-07T13:48:06.500351Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:06.156457Z","title":"BirdV oxDetect: Large-scale detection and classification of flight calls for bird migration monitoring,","venue":null,"work_id":"c396a4c1-17f3-4df0-bb99-ca84d6e9a9ad","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.068004Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:103a1b12d190a46d4b2fc5c8f2cbb2a88115e7037549548261bd9b0c8e9293a5","observation_id":"b93f7704-91d2-4df0-9ddf-361c5f42e653","resolution":{"observed_at":"2026-08-07T13:48:06.240473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:05.881321Z","title":"From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning,","venue":null,"work_id":"22c64b1a-d87f-4b41-afaf-ef9c9eb0c5a6","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.171521Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:48cfb3789ba648ab7b31602d4c0156baad8624ae000b4ceac3985cffdab45b86","observation_id":"289599ef-643c-4144-bc10-8931790a504f","resolution":{"observed_at":"2026-08-07T13:48:06.049550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:05.681674Z","title":"Active few-shot learning for rare bioacoustic feature annotation,","venue":null,"work_id":"369cbd6b-685e-4611-81e1-d95b9ff810ca","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.232462Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:5894abe33dcdcfb93ca50f8dfce26d3d7f57c3f269f824f28aa3ebd20f1b4635","observation_id":"0f68c8ae-3c19-421f-9e08-a8b27680211e","resolution":{"observed_at":"2026-08-07T13:48:05.775475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02719","last_updated":"2026-04-07T06:07:49Z","snapshot_observed_at":"2026-08-02T14:15:42.685513Z","submitted_at":"2023-07-06T01:57:37Z","title":"Understanding Uncertainty Sampling via Equivalent Loss","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02719","snapshot_observed_at":"2026-08-07T13:48:01.322931Z","title":"Understanding uncertainty sampling,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.322931Z"},"links":{"cited_paper":"/paper/2307.02719","citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:fbee0e62dc48655c18b0c5cc9fd27b803aeaac8cabaf52990ba00d56e6c88b43","observation_id":"582b00f0-7153-48eb-87d9-adff6ff7b8e2","resolution":{"observed_at":"2026-08-07T13:48:01.322931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:05.409926Z","title":"Margin-based sampling in high dimensions: When being active is less efficient than staying passive,","venue":null,"work_id":"a9fb70ff-9900-4aaf-ab67-3bf884b2a386","year":2023},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.400613Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:32655d0df03af8d60c460f72c85507378e1e9e3a195bca47f080a1bedf78b43a","observation_id":"f5502565-fb66-4c94-9f36-392090f6f665","resolution":{"observed_at":"2026-08-07T13:48:05.537165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:05.189360Z","title":"Active and Transfer Learn- ing for Efficient Identification of Species in Multi-Label Bioacoustic Datasets,","venue":null,"work_id":"ec26ec59-9b60-475c-8961-89be847487b9","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.485233Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:4b0f3b38333a8da2601185338294f0919656210a73a6e39d59f5fbb263f8fa97","observation_id":"17c8b682-19b6-442d-9ab8-aed7727ce6ca","resolution":{"observed_at":"2026-08-07T13:48:05.278780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01372","last_updated":"2022-10-21T23:11:15Z","snapshot_observed_at":"2026-07-06T11:44:01.939763Z","submitted_at":"2021-09-03T08:36:13Z","title":"Sample Noise Impact on Active Learning","version":2},"cited_work":{"arxiv_id":"2109.01372","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.01372","snapshot_observed_at":"2026-08-07T13:48:03.184578Z","title":"Sample Noise Impact on Active Learning","venue":"stat.ML","work_id":"8bdb26a3-60f3-4657-a5a9-4cbacc425a08","year":2021},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.572340Z"},"links":{"cited_paper":"/paper/2109.01372","citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:4bd458ead52a7d21f045459681da956beaa0ed21e6b85d8efaabec0100032c53","observation_id":"c30baf44-e3e6-4060-a4fa-3ae145aa1c97","resolution":{"observed_at":"2026-08-07T13:48:03.261511Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:04.967322Z","title":"A human-in-the-loop tool for annotating passive acoustic monitoring datasets,","venue":null,"work_id":"31a04e36-c2c2-4689-9c65-ba9d748747d5","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.694632Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:ae38b3e3e4cfc059b02a2db96324f64c7d0b0ea53d17a96716e5eb9f2116fd94","observation_id":"ac143652-610d-4283-bd90-c220b7a6680c","resolution":{"observed_at":"2026-08-07T13:48:05.074077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:04.799105Z","title":"enhancing wildlife acoustic data annotation efficiency through transfer and active learning,","venue":null,"work_id":"80945f17-bd82-4c4b-86c2-c711c3d99302","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.802195Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:be26f9fe37f899f4e0649d53697e50bced54b4974437845eef1d5953290e1ac5","observation_id":"bf9af0bf-97f6-4694-a844-4fb230a448d7","resolution":{"observed_at":"2026-08-07T13:48:04.881461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:04.617165Z","title":"Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife,","venue":null,"work_id":"0f9ab549-ebcf-4b20-9eda-2917f6f103c1","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:01.891211Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:1370b7e48f1894c16c9d059a961ddb1b64a3b8d9647f70b9878972f9cfdf083c","observation_id":"225a96c9-ecd9-4de3-ad41-c6314eb63bc5","resolution":{"observed_at":"2026-08-07T13:48:04.684351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:04.400893Z","title":"Leveraging transfer learning and active learning for sound event detec- tion in passive acoustic monitoring of wildlife,","venue":null,"work_id":"7d3b1d6d-c444-4f68-a524-586f794e9c4c","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.011369Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:5b64122dab89a076a08c914cf78cc1f24fb1a0e8348adee2e06b560d5556acdd","observation_id":"d5bbb019-3eea-458e-a487-808d689cd41e","resolution":{"observed_at":"2026-08-07T13:48:04.493385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:04.128397Z","title":"Deep Active Audio Feature Learning in Resource-Constrained Environments,","venue":null,"work_id":"0b965993-8f88-452a-82b3-8f01f1124313","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.077481Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:95e5d05f53180ceee15579d544162d188d2848d8b0569047af2cfd86a80a6deb","observation_id":"f7ab6367-da75-4fbb-909b-3a5ac48e7e6f","resolution":{"observed_at":"2026-08-07T13:48:04.252943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18621","last_updated":"2024-11-05T13:31:46Z","snapshot_observed_at":"2026-08-03T18:09:51.334031Z","submitted_at":"2024-06-26T08:43:05Z","title":"Towards Deep Active Learning in Avian Bioacoustics","version":2},"cited_work":{"arxiv_id":"2406.18621","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.18621","snapshot_observed_at":"2026-08-07T13:48:02.988718Z","title":"Towards Deep Active Learning in Avian Bioacoustics","venue":"cs.SD","work_id":"cf2e63eb-96bd-4d68-bad0-b3fb4bd314a0","year":2024},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.183855Z"},"links":{"cited_paper":"/paper/2406.18621","citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:985835424a5e96d814926a1f610d8fd4f3982fcfee396b78d32ca6c6b8125aca","observation_id":"78a7c167-4f4a-4f24-92fd-55a3d4c5fbbc","resolution":{"observed_at":"2026-08-07T13:48:03.067432Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:03.874271Z","title":"Theory of disagreement-based active learning,","venue":null,"work_id":"3d3b8e43-97e3-42dc-95f7-f2678236fed1","year":2014},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.273840Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:5fd01edb58e8b100d3b00ae1bec219aabb19da153b477ed5b232073d8afcb6ce","observation_id":"f53feab8-3214-4e4e-9049-91c1e9c9244e","resolution":{"observed_at":"2026-08-07T13:48:03.958422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:03.669077Z","title":"Few-shot bioacoustic event detection: A new task at the dcase 2021 challenge,","venue":null,"work_id":"9b01e3bf-4f71-44d8-9f68-88aaecddfac1","year":2021},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.352463Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:c29fb4b7d201ed26d7188800dd3c9d18c81c749302dc6b1db54e1849c5e73c3a","observation_id":"709c5c1e-49f1-4ae8-ad87-df252571b933","resolution":{"observed_at":"2026-08-07T13:48:03.763469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07911","last_updated":"2022-07-14T09:33:47Z","snapshot_observed_at":"2026-07-06T13:32:01.087734Z","submitted_at":"2022-07-14T09:33:47Z","title":"Few-shot bioacoustic event detection at the DCASE 2022 challenge","version":1},"cited_work":{"arxiv_id":"2207.07911","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.07911","snapshot_observed_at":"2026-08-07T13:48:02.766249Z","title":"Few-shot bioacoustic event detection at the DCASE 2022 challenge","venue":"cs.SD","work_id":"ee6b585d-2bf7-43b8-8d21-2b0745afe68f","year":2022},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.444194Z"},"links":{"cited_paper":"/paper/2207.07911","citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:c1d242a5289539571118f98be1e55c9271832105dea88b6eb54aab3bd928cdc0","observation_id":"0832e7e7-16b5-4a4e-8843-b9c21473e9cf","resolution":{"observed_at":"2026-08-07T13:48:02.827217Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:48:03.441627Z","title":"PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,","venue":null,"work_id":"330bbe5a-9b93-440a-9db8-1e7c01ef9fd6","year":2020},"citing_paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:02.562648Z"},"links":{"citing_paper":"/paper/2505.20956"},"observation_digest":"sha256:62bb29d3cbaf3f28eabf88c34482c95aa6ee2019685b12f71d84dfbe223d1f02","observation_id":"26442de2-3eb7-464c-b2a0-62f82b93a52d","resolution":{"observed_at":"2026-08-07T13:48:03.530082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20956","last_updated":"2025-05-28T20:06:51Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-07T13:40:36.472446Z","submitted_at":"2025-05-27T09:50:39Z","title":"Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":3,"verified_fuzzy":24},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.20956."}