{"as_of":"2026-08-23T04:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ceef9bbb193fbd220e89e17bb61d399c5c0b2c802b8f05041bf7814313a8987","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:30:32.799186Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:29:05.060221Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T21:55:02.086940Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07208","snapshot_observed_at":"2026-08-16T12:29:05.060221Z","title":"Towards understanding of frequency dependence on sound event detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12670","last_updated":"2025-04-17T06:03:43Z","snapshot_observed_at":"2026-08-16T12:23:17.817807Z","submitted_at":"2025-04-17T06:03:43Z","title":"Temporal Attention Pooling for Frequency Dynamic Convolution in Sound Event Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T12:29:05.060221Z"},"links":{"cited_paper":"/paper/2502.07208","citing_paper":"/paper/2504.12670"},"observation_digest":"sha256:dd5b9c704010dd5234478bcff1ef7a88e322200ea8dd1cb99ba7cbdcde3ce669","observation_id":"908d4601-0a86-40fe-b99e-f2823fcb5176","resolution":{"observed_at":"2026-08-16T12:29:05.060221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07208","snapshot_observed_at":"2026-08-07T00:49:01.726993Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12785","last_updated":"2025-06-15T09:32:16Z","snapshot_observed_at":"2026-08-07T00:40:07.029946Z","submitted_at":"2025-06-15T09:32:16Z","title":"Frequency Dynamic Convolutions for Sound Event Detection","version":1},"reference_index":115,"source":"pdf_text","source_observed_at":"2026-08-07T00:49:01.726993Z"},"links":{"cited_paper":"/paper/2502.07208","citing_paper":"/paper/2506.12785"},"observation_digest":"sha256:6979c73e6fb6899db813ab5293aabed1d44fd271748217e6d67a4658e578e32f","observation_id":"727c05d2-426a-4e81-88ee-ddb99ecad7b3","resolution":{"observed_at":"2026-08-07T00:49:01.726993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"cited_work":{"arxiv_id":"2502.07208","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.07208","snapshot_observed_at":"2026-08-05T21:55:02.086940Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","venue":"eess.AS","work_id":"e2e70295-dd51-4328-868c-5b31e026f5a7","year":2025},"citing_paper":{"arxiv_id":"2508.07829","last_updated":"2025-08-11T10:25:58Z","snapshot_observed_at":"2026-08-21T12:52:12.200460Z","submitted_at":"2025-08-11T10:25:58Z","title":"Auditory Intelligence: Understanding the World Through Sound","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T21:54:55.618843Z"},"links":{"cited_paper":"/paper/2502.07208","citing_paper":"/paper/2508.07829"},"observation_digest":"sha256:77185ff67958285d0e9118ec0cddea36dc968b6af6879a53c878ef848abc8613","observation_id":"9aa04b05-3827-4cbe-a996-4e467a4ee220","resolution":{"observed_at":"2026-08-05T21:55:02.185813Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.07208/citation-record","integrity":"/paper/2502.07208/integrity","json":"/paper/2502.07208/citation-record.json","paper":"/paper/2502.07208"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T13:30:33.378957Z","title":"Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection,","venue":null,"work_id":"3d9469cb-1d69-4b5b-b174-52c01fe7a2bf","year":2017},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.646141Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:479b70aeb2c812a085d24c2c28f2f7c276b52bc2c365921f5bbdb441d3372ed0","observation_id":"62d85352-0122-44d8-a1cb-8e6d7cd352f4","resolution":{"observed_at":"2026-08-08T13:30:33.382588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.371273Z","title":"Virtanen, M","venue":null,"work_id":"1a94d4f2-ab0e-4ef9-b6c8-8f02d02b77e2","year":2017},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.649463Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:989c0596dc27b3b5fb4381971265406812340af76ed4e9175194b7f3d3675f19","observation_id":"391557a6-f23e-4773-8d3a-24db6934f563","resolution":{"observed_at":"2026-08-08T13:30:33.374271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.362862Z","title":"Metrics for polyphonic sound event detection,","venue":null,"work_id":"5ef8cbf2-f678-460d-a9e8-a3361267981a","year":2016},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.652106Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:ae2822c8ca2b0dbda3d0f8a3df82f86a0812be00d2e4141793bcb1735ab4d607","observation_id":"a6902688-8549-499c-b8db-cbb095490878","resolution":{"observed_at":"2026-08-08T13:30:33.366160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.354876Z","title":"Improving Sound Event Detection Metrics: Insights from DCASE 2020,","venue":null,"work_id":"c0e23d47-0c8e-4ccb-becd-ffa8b4c1c823","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.655254Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:02bb0bf5f7353b541f4495a96c6b49c4069657569af43066e42a8bb6f06999ec","observation_id":"38779a1b-ccfe-482e-b385-18f203a6df35","resolution":{"observed_at":"2026-08-08T13:30:33.357754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.346583Z","title":"Heavily Augmented Sound Event Detection utilizing Weak Predictions,","venue":null,"work_id":"9ff7cb3a-3075-40da-924c-aeddc9ede82f","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.658083Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:f0ca9593506dcee0ee9aa4da282e1e28892e99a04ef8d42f5c1dd6c101aab515","observation_id":"3c4e8d67-691c-4486-872d-cff46f9c3338","resolution":{"observed_at":"2026-08-08T13:30:33.349764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.337880Z","title":"SEMI-SUPERVISED SOUND EVENT DETECTION SYSTEM FOR DCASE 2022 TASK 4,","venue":null,"work_id":"e6edef68-ee4a-4b45-9f12-b8dc98346b82","year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.660654Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:2a598dc12715e97aa614695892fe37d636b647e891b0c6f6a85ad98f8de89dfe","observation_id":"375cbb9a-5845-4a6b-ba7a-65edb8bce2c8","resolution":{"observed_at":"2026-08-08T13:30:33.340872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.328956Z","title":"SELF-TRAINING FOR SOUND EVENT DETECTION IN AUDIO MIXTURES,","venue":null,"work_id":"608e0519-008e-4e27-9fd9-9025d0e43b24","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.663415Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:8951ffbe024b508760bf9ffd5ccc642af7248dd616cb0a102584fc8e42175bcd","observation_id":"ee3ca374-7516-4f79-8b6c-51aaa3159eb9","resolution":{"observed_at":"2026-08-08T13:30:33.332358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.320996Z","title":"Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments,","venue":null,"work_id":"b0affa84-c3f6-49e9-82ad-91364f6dfe91","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.666462Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:1d56b7ceb3c9a12bf0a6539266844573bf4a9c45ce789572a912f8a5fd4262f1","observation_id":"c2916a86-67e4-4ec1-92cb-5f5654f0bc5b","resolution":{"observed_at":"2026-08-08T13:30:33.324245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.311982Z","title":"Sound Event Detection with Cross-Referencing Self-Training,","venue":null,"work_id":"13de7078-31ff-4618-b717-6565c1b878a7","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.669487Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:3fb8706e4dc4c0e20126aa72db05300550bea4bed1e4f3f5ae15dd5eb621e148","observation_id":"8c3df492-ae8f-42d8-bde2-2dc982344de2","resolution":{"observed_at":"2026-08-08T13:30:33.315431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.303096Z","title":"Zheng USTC Team’s Submission For DCASE2021 Task4 – Semi-Supervised Sound Event Detection,","venue":null,"work_id":"5abc20b4-7783-4bb2-8418-eaf21cfc0e2a","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.672055Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:3b6695054f6d5fabea2266828d2852b1a5861fe3a46b72321830b162bf5b5884","observation_id":"16db680c-5f6f-4f2c-8bae-80e7f63d43ca","resolution":{"observed_at":"2026-08-08T13:30:33.306436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.295393Z","title":"Conformer-Based Sound Event Detection With Semi-Supervised Learning and Data Augmentation,","venue":null,"work_id":"efdbd989-8f9c-498e-babd-dff0a2b746c7","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.675466Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:262f4c27e6eefa8eb671115588154896659e840723743d8b5fc999ca54db4d11","observation_id":"8e459b6d-244f-4118-8351-7d08f46b7464","resolution":{"observed_at":"2026-08-08T13:30:33.298422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.287607Z","title":"Convolution-Augmented Conformer For Sound Event Detection,","venue":null,"work_id":"dd35deff-136a-4dd0-8023-cd9572a35ac6","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.678703Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:e547e697a8a9ca785b750e99ff1cfa8f87adb1da44a1006c5c1005d21c491019","observation_id":"4ec14053-638d-4347-b3b2-733953a0f5cb","resolution":{"observed_at":"2026-08-08T13:30:33.290539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.278393Z","title":"Specaugment: A simple data augmentation method for automatic speech recognition,","venue":null,"work_id":"3a36ed22-8f7f-483e-b8f4-f2f538f65efe","year":2019},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.681574Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:9f2e628c95a93581e522bc94862b04eb16273ef10ad4c269316854c0f1e4406e","observation_id":"36475012-f011-400f-bea8-a4660d2d2d34","resolution":{"observed_at":"2026-08-08T13:30:33.281652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.270307Z","title":"Sound Event Detection Based On Self-Supervised Learning Of Wav2vec 2.0,","venue":null,"work_id":"fa5d7bd1-a633-4257-ae44-c452fec89fc1","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.684035Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:e59d6d897cf5c3855b786fdda99f6e0a5583aa7ff3c1ba7620ab0575aa23a971","observation_id":"7d85b105-7646-417b-9a4f-a82d938b59a0","resolution":{"observed_at":"2026-08-08T13:30:33.273497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.262455Z","title":"Conformer: Convolution-augmented transformer for speech recognition,","venue":null,"work_id":"22cddefc-0755-4100-8bd4-e1f77fd7ceb1","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.686624Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:f09eafb5171417f04eb6ff7f3d8623ec0a81a2cc6fe01822bf774ddca31a77bb","observation_id":"e36056af-85bf-4188-aaf9-357989f6ef2c","resolution":{"observed_at":"2026-08-08T13:30:33.265417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.252857Z","title":"An overview of end-to-end automatic speech recognition,","venue":null,"work_id":"8bc82c52-54ef-4b5e-86e8-32ec5f3ebe43","year":2019},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.689116Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:67c44da5e0dc221b742e7f00bf249140fc4c6d452ea5a579cd2884f62c22d834","observation_id":"fa07ce2b-d0ca-430d-a798-544fded0f8c3","resolution":{"observed_at":"2026-08-08T13:30:33.256639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.245054Z","title":"WAV2vec: Unsupervised pre-training for speech recognition,","venue":null,"work_id":"f239b366-3b35-4dd8-97a8-0834548ff414","year":2019},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.691798Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:645b66a6863817c5a8f00698c102bde444b23a80138202a3a4b288a58862da98","observation_id":"dfe74341-9420-4746-a034-8b74a74dc729","resolution":{"observed_at":"2026-08-08T13:30:33.248078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.236860Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations,","venue":null,"work_id":"7366f4df-01fb-4848-b558-2dc1ed25bba1","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.694729Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:f69a2ea1dc205b5217fe391ede53c532633f7ec56d0e1ecabc04341f0a7f51ec","observation_id":"173f591a-cf74-4ac6-8afa-48bc60be0b1f","resolution":{"observed_at":"2026-08-08T13:30:33.239857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.228892Z","title":"Adaptive Convolutional Neural Network for Text-Independent Speaker Recognition,","venue":null,"work_id":"4331446a-1a51-4703-9c5b-d3ee99c405f3","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.697370Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:df16315528e010a9d09b04feb3761f6f3325e6e3862fdbd0e674b619a2d50b4c","observation_id":"6dc286a7-4dbe-42e5-a86d-302d81550ea5","resolution":{"observed_at":"2026-08-08T13:30:33.232044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.219439Z","title":"Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemic Analysis,","venue":null,"work_id":"164a893c-66cf-4cbe-9bc5-472e62da3a2f","year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.699943Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:9bcbdbeeadc466761e650a0e1d8ccebdb2fe80ae88643bb49a8b6eba7546cc77","observation_id":"126ef078-2ff1-4d6e-aacf-028e6c0c4f4d","resolution":{"observed_at":"2026-08-08T13:30:33.222407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15277","last_updated":"2022-10-27T11:58:35Z","snapshot_observed_at":"2026-08-16T17:11:04.077364Z","submitted_at":"2022-03-29T06:46:53Z","title":"Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15277","snapshot_observed_at":"2026-08-08T13:30:32.702875Z","title":"Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.702875Z"},"links":{"cited_paper":"/paper/2203.15277","citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:ef4c201da0a88304ec69d7a98f1af651075f72706ab4dfab8ea95dd594d0f019","observation_id":"1421f43c-901d-45f7-a8b6-21684ece2236","resolution":{"observed_at":"2026-08-08T13:30:32.702875Z","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":"2026-08-08T13:30:33.210864Z","title":"Rabiner and R","venue":null,"work_id":"479e48cd-cfb5-44a0-9544-c533c688533a","year":2010},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.707063Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:66548d8799f8a3680f8504d5d9b9d246b02319dc01ce10ec88d5804127fdc222","observation_id":"c89d9b98-db25-4941-a303-40fae3e30cc8","resolution":{"observed_at":"2026-08-08T13:30:33.214080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.202798Z","title":null,"venue":null,"work_id":"7f958ab0-ed5e-4495-ba42-a57442a9fef9","year":2010},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.709750Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:824496fc58c4e65ca3696ff0f116ad9b975367fcd11695b2fb14244e6c763ac9","observation_id":"3127d195-01eb-45be-a8a2-73322fe60f6a","resolution":{"observed_at":"2026-08-08T13:30:33.205875Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.195231Z","title":null,"venue":null,"work_id":"9cae3f5d-63d1-49fe-9e7f-40d4437942c7","year":2011},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.712925Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:6dcb5a382b2d1768c352adef610ce8bace1b6608a69095eeda3ee50e3b836964","observation_id":"50d7e9cf-7401-4cd3-8746-b424c6a31d58","resolution":{"observed_at":"2026-08-08T13:30:33.197986Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.186255Z","title":"Attention is All you Need,","venue":null,"work_id":"c9a8fcf9-3125-4b97-9cf4-ac735e3c53d2","year":2017},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.715895Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:a4db52d8656509827b289c11e981a176a81e91f00cd4a3a3cf5131f6c606062c","observation_id":"65cf9345-2383-46f9-8eb0-ac1959cea050","resolution":{"observed_at":"2026-08-08T13:30:33.189377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.176855Z","title":"Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection,","venue":null,"work_id":"4601900a-40fa-4c53-89a1-124e159807aa","year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.718454Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:ca2e429d13be9b0b788d86641292087bf093fb965ee3bc5df1538e3962990986","observation_id":"13132f6b-b0a3-43f9-a864-7f6cb4a7230b","resolution":{"observed_at":"2026-08-08T13:30:33.179775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.167893Z","title":"CHT+NSYSU Sound Event Detection System With Multiscale Channel Attention And Multiple Consistency Training For DCASE 2021 Task 4,","venue":null,"work_id":"ea179d85-f2f7-4f62-8167-a853b8d69438","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.720886Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:b0b3ac6085639440a3f0114635380cbc64912ba15cea041b9fc55f7412b14966","observation_id":"50204ecb-10bb-4442-b64e-22e41be87ddb","resolution":{"observed_at":"2026-08-08T13:30:33.171227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.159092Z","title":"SEMI-SUPERVISED LEARNING-BASED SOUND EVENT DETECTION USING FREQUENCY DYNAMIC CONVOLUTION WITH LARGE KERNEL ATTENTION FOR DCASE CHALLENGE 2023 TASK 4,","venue":null,"work_id":"24489dff-f621-451e-b7eb-9acf853380a5","year":2023},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.724168Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:57d9de73bc6dc0f79afb054d6644c8a3880974e4fb6edfc3460ac978ab33441a","observation_id":"708b7f3a-eb8b-40d2-aaf8-c1f7682093e6","resolution":{"observed_at":"2026-08-08T13:30:33.162496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.150607Z","title":"Fine-Tune the Pretrained ATST Model for Sound Event Detection,","venue":null,"work_id":"64350c45-c07c-46cb-bbc0-60d68228755b","year":2024},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.727283Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:0ff68e8d94a188699b511f34eb36e37e8315adcc4b21b4ebc0421ee566ae6466","observation_id":"d1b92a84-15c7-4f4a-982e-784b202c69bf","resolution":{"observed_at":"2026-08-08T13:30:33.153534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.141785Z","title":"Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event Detection,","venue":null,"work_id":"399a9325-4863-4db1-bd94-8b10a9529a79","year":2025},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.729816Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:a5863809074c4f1448324b9b6c2986cf5e19a839f2f85addb1ade6bf12442a77","observation_id":"1c817760-b3d6-42e0-8334-25542aaed2c1","resolution":{"observed_at":"2026-08-08T13:30:33.145516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.132393Z","title":"Global Enhanced Frame Prompt Tuning for Sound Event Detection,","venue":null,"work_id":"e88893fb-0c3d-4a87-91e7-7fd2551f7a58","year":null},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.732281Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:be0c94b67e4dbba859893b4fa5ffadd759a335cf88a09da732a5d27c7e1d9e3e","observation_id":"907be62d-5427-4e47-8079-ec259fdee651","resolution":{"observed_at":"2026-08-08T13:30:33.136009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.124631Z","title":"Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding Boxes,","venue":null,"work_id":"2f9aaf0a-6c26-43c1-b040-114323d66741","year":2024},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.735607Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:fd815a66d3d8f45f210b8e60dd79e6d7b7c95ff40066c16ab4c2aad64ff6ec6f","observation_id":"2880008e-6467-4ff6-8829-7e1ecde2759c","resolution":{"observed_at":"2026-08-08T13:30:33.127630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.116288Z","title":"AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer,","venue":null,"work_id":"c436fc5c-022f-467e-b7b3-07d731170096","year":2023},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.738323Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:43d18aacf388f5f8e47da2e50d6428c6d0a9e3fd90c4ae79cf4d04a04b60b50c","observation_id":"99b29760-92d3-4a1e-b7af-7c3ca4032be1","resolution":{"observed_at":"2026-08-08T13:30:33.119574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.107148Z","title":"MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection,","venue":null,"work_id":"5cd301a9-ec54-434e-9798-f76a0d141629","year":2024},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.740934Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:f8c8666006e30780158da71eac6a69a5b35bda6c402310ce16c77c0fa6dbdb47","observation_id":"0e234907-53e3-49d4-8bb6-6249090605fd","resolution":{"observed_at":"2026-08-08T13:30:33.110672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.098509Z","title":"FilterAugment: An Acoustic Environmental Data Augmentation Method,","venue":null,"work_id":"336395f5-f15e-41c1-98a9-600ffe98ed09","year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.743521Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:28b2463b4e167a9d5eaf23c4b6d17b386198f13b5687e5fbac532b44fe8acab0","observation_id":"60554228-a166-4d38-af3d-0f1c0fead768","resolution":{"observed_at":"2026-08-08T13:30:33.101447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.090053Z","title":"Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection,","venue":null,"work_id":"92c7fc0d-3d0e-4d06-b3a5-3fde4620b1c2","year":2024},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.746280Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:9ea341bcaa1a88dcf54fca38b0c1a258c5e08020ffc9aa55ba9c15f0d7381ba1","observation_id":"375ba493-7d04-4738-989f-332a474c6e08","resolution":{"observed_at":"2026-08-08T13:30:33.093586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.080234Z","title":"Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic Convolution,","venue":null,"work_id":"8a2e3359-dfaf-4d3d-8d44-b324c58eef30","year":2024},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.748916Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:6d12b07a056e577185fcc26cce288274d561eb3b31789ee11807304ba9b4b0a2","observation_id":"0595da13-258d-4e8f-a468-d554d36380b9","resolution":{"observed_at":"2026-08-08T13:30:33.083847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:33.070195Z","title":"Convolution-Based Channel-Frequency Attention for Text-Independent Speaker Verification,","venue":null,"work_id":"69f91d5c-7b84-483e-8577-9bdb12910964","year":2023},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.751457Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:724b990e392ad10b6ff3030bdf870536f9e8918b8db1dae4dddf15ca5b050d30","observation_id":"91d1487e-5f70-43a2-8759-d5853a0583ff","resolution":{"observed_at":"2026-08-08T13:30:33.074363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.972381Z","title":"Learnable Frequency Filters for Speech Feature Extraction in Speaker Verification,","venue":null,"work_id":"13ff0738-f64a-4682-b1e5-198077a12190","year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.754260Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:19b0cea5fb7b612f91c0fef2fe9b3d584896bb0a6d695008970a9786d34b6430","observation_id":"b75d588b-022a-4dc2-8058-976e41df831a","resolution":{"observed_at":"2026-08-08T13:30:32.975378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.963935Z","title":"Integrating frequency translational invariance in TDNNs and frequency positional information in 2D ResNets to enhance speaker verification,","venue":null,"work_id":"9c7d42b4-8aec-4844-924b-cae92f524ec3","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.757632Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:a2e3d2fc946d5b20201be1bca0b4bb7ca76d979dd25ad1faba69c47a01513626","observation_id":"06c84f5b-5334-4404-b555-db39d2608d4b","resolution":{"observed_at":"2026-08-08T13:30:32.967037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.954345Z","title":"Frequency and Temporal Convolutional Attention for Text-Independent Speaker Recognition,","venue":null,"work_id":"8f385926-64de-481b-a123-3e37c997d615","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.760242Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:be3ea27330cd04090e93a2e69af731f74024c76f2a4bc4a0ed58d7a39e6d30ec","observation_id":"793e75a8-161c-4969-8aa0-0ee0885927a1","resolution":{"observed_at":"2026-08-08T13:30:32.959070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.946026Z","title":"Multi-dimensional frequency dynamic convolution with confident mean teacher for sound event detection,","venue":null,"work_id":"28a0f2ea-14d9-4016-946b-c188ec6a4e05","year":2023},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.763463Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:6b103af16f8af0cb37f2e48c9147f117cdf712a212d8e8f89cf4c8c750a17cfc","observation_id":"517ddc6f-c2c1-4b7d-bf43-a35dc9f2906d","resolution":{"observed_at":"2026-08-08T13:30:32.948888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.937797Z","title":"Deep convolutional neural networks and data augmentation for acoustic event recognition,","venue":null,"work_id":"71f88277-13b1-4619-81dc-26da484375ca","year":2016},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.766699Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:44a0188cd3bf3e98b945248121d8c8eba5e75d914351ab9d87f97cc3d73601f9","observation_id":"655dd8a4-e9bf-4e14-88a2-cf407f110a7c","resolution":{"observed_at":"2026-08-08T13:30:32.940781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.928842Z","title":"Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification,","venue":null,"work_id":"11bd5ea8-290b-4ac9-b272-2f3b055b450b","year":2017},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.769575Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:3249504ebad9286c0296ff266a0e8b5eb93f2786291498215cc8d66f5213036f","observation_id":"30de3014-dad3-445e-b8db-33b5ff1b6e73","resolution":{"observed_at":"2026-08-08T13:30:32.931955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.920029Z","title":"Deep learning based cough detection camera using enhanced features,","venue":null,"work_id":"538e2325-2f26-4268-9f2c-35ecf60698a4","year":2022},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.772006Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:3b3f3904d5f2d8601fe99457a8d135c7b5cb8fed980ab65d06462eb8f3f422cc","observation_id":"cb411835-6b1e-4a59-a66f-a1b718b3a209","resolution":{"observed_at":"2026-08-08T13:30:32.923014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.911611Z","title":null,"venue":null,"work_id":"d03108f6-157d-4109-91d8-80ae226b4a9e","year":2000},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.774801Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:3c20f5274516efbcfe286290a641785a74b2a91f6ee82ebb387e203fc78c56b4","observation_id":"f28752e5-aee3-483c-982f-1097f176e227","resolution":{"observed_at":"2026-08-08T13:30:32.914838Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.902426Z","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization,","venue":null,"work_id":"5fc56111-f808-4a49-ba28-66aed6bc6c73","year":2019},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.777449Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:153d6cffc4819600710ebf66446ceae9a7f7dd81f95bdcb006c8199fc1f099a6","observation_id":"fd2d682f-d0db-40ea-a7a0-49b12bddea40","resolution":{"observed_at":"2026-08-08T13:30:32.905529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.893597Z","title":"Polyphonic Sound Event Detection Based on Residual Convolutional Recurrent Neural Network with Semi-Supervised Loss Function,","venue":null,"work_id":"823786e0-7627-45cc-b978-ee3a84551520","year":2021},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.780376Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:887fc4aa0eac72c5e24c6d025a2aec13e69d1d70d02020fb197fdcaaef08e509","observation_id":"a2c1cd0d-d307-4bdd-ad6b-416aca8dcb95","resolution":{"observed_at":"2026-08-08T13:30:32.897137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.884735Z","title":"Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis,","venue":null,"work_id":"04bff086-9379-492e-90d7-342f463aa558","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.783154Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:3bed1cb6f65000217767bac89c9c63e870ba4ca7dd7cd2cb0aeaaac5d22a1d60","observation_id":"7783edba-8e37-470b-ba7c-236da4277390","resolution":{"observed_at":"2026-08-08T13:30:32.888123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.875891Z","title":"DCASE2021 Task4 Baseline","venue":null,"work_id":"dce54a0b-ead5-4b12-80d7-e7e734509535","year":null},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.785709Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:400f6685f34590ed333d1995cbcf1d3a44b6091bf725e793b9d17c6d554669e6","observation_id":"1ddcf448-cad2-4608-8151-46d97c3d43e6","resolution":{"observed_at":"2026-08-08T13:30:32.878650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.865597Z","title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi- supervised deep learning results,","venue":null,"work_id":"34a0df85-42de-4a8d-ace1-3aab6feeafd5","year":2017},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.788348Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:41e56c5560a685e3f7501bd573bdc816d9d80047537eb768c1af446c3b920984","observation_id":"b15bc1f6-46d9-473f-82d1-2e6ea46d6112","resolution":{"observed_at":"2026-08-08T13:30:32.869357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.857089Z","title":"Training Sound Event Detection On A Heterogeneous Dataset,","venue":null,"work_id":"ccd25bf6-2428-44c8-803f-6001ca1d0619","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.790995Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:e29acf1e068f75d9e94fc565a42c076c23a409daa76a62bb8b58c575ca5f38e3","observation_id":"d3c68ad7-be75-405d-9e1a-3bdbd408fc81","resolution":{"observed_at":"2026-08-08T13:30:32.860036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T13:30:32.848132Z","title":"MixUp: Beyond empirical risk minimization,","venue":null,"work_id":"e9d5d43a-32b3-4986-be4b-b09ad8103a38","year":2018},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.793642Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:a840883fb47fa50748173464a19c16473a4062e902f896e20913e44c42c966e6","observation_id":"e8833329-26fc-4a36-b7a2-780dfcf3ab2e","resolution":{"observed_at":"2026-08-08T13:30:32.851218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.06905","last_updated":"2018-03-05T12:30:37Z","snapshot_observed_at":"2026-08-14T20:52:34.108757Z","submitted_at":"2017-06-21T13:49:14Z","title":"Learnable pooling with Context Gating for video classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.06905","snapshot_observed_at":"2026-08-08T13:30:32.796169Z","title":"Learnable pooling with Context Gating for video classification,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.796169Z"},"links":{"cited_paper":"/paper/1706.06905","citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:2ec5a81ce49a2c76818813dc0eb87492759cd09be686c1167b86a04b12942122","observation_id":"aabe8498-1064-4168-83f8-9ecb000a3aae","resolution":{"observed_at":"2026-08-08T13:30:32.796169Z","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":"2026-08-08T13:30:32.836319Z","title":"A Framework for the robust evaluation of Sound Event Detction,","venue":null,"work_id":"cce4de8a-98fa-49b6-869b-ece3e4b0c237","year":2020},"citing_paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T13:30:32.799186Z"},"links":{"citing_paper":"/paper/2502.07208"},"observation_digest":"sha256:b5b45f4ac5434ad9841b3949af50a5946c412bfada625a6925487787898bcd9d","observation_id":"ae1c5bb9-1b38-4c66-9b5b-de1450b50b97","resolution":{"observed_at":"2026-08-08T13:30:32.841348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.07208","last_updated":"2025-08-27T08:09:06Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-17T02:40:18.869178Z","submitted_at":"2025-02-11T03:07:03Z","title":"Towards Understanding of Frequency Dependence on Sound Event Detection"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":50},"total_outbound_references":55},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2502.07208."}