{"as_of":"2026-08-21T13:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0106a5a12be1684493e692311eee7cd2fb0259332230bef0c9f8a1e7e1836107","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":"2026-08-06T20:52:00.094337Z","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":"2026-08-21T06:32:19.484+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/2507.01563/citation-record","integrity":"/paper/2507.01563/integrity","json":"/paper/2507.01563/citation-record.json","paper":"/paper/2507.01563"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.912559Z","title":"A safety- oriented framework for sound event detection in driving scenarios,","venue":null,"work_id":"a4fd15bb-4b13-4b90-9546-c327df5e1cb4","year":2024},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.027049Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:af8662e84b1db4e52c255986c0f6fedbe6cfbb2fdef9c993fad4db3e03c3f556","observation_id":"0bfed099-3dae-4b31-9257-653126c63692","resolution":{"observed_at":"2026-08-06T20:52:00.914644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.905597Z","title":"A siren identification system using deep learning to aid hearing-impaired people,","venue":null,"work_id":"6e5f774a-d000-4a60-ad33-600e300892af","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.029738Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:e11d99b58c69e0b8d12a4c3f993122805ba60a09a73a3c106e97735d42eb9b34","observation_id":"9da93264-14fa-47a3-91ca-7909fa131efc","resolution":{"observed_at":"2026-08-06T20:52:00.908364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.893801Z","title":"A comprehensive review of smart emergency vehicle detection and response systems,","venue":null,"work_id":"c1d13e0a-9984-4610-a512-4a7039b25a4f","year":2025},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.034523Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:81bab91e863fc08e6b4660f25b9bcf5700f80344fae5e6a70944e4001db232ef","observation_id":"e3b4f980-fc8e-4a5a-a314-92fa438cc428","resolution":{"observed_at":"2026-08-06T20:52:00.895932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.888695Z","title":"Acoustic Based Emergency Vehicle Detection Using Ensemble of deep Learning Models,","venue":null,"work_id":"5c4edfb8-1627-42d1-a849-9317497a584c","year":2023},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.036705Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:4041884f9a341eb5ec76d5d184089f1ffb4a397c010fd5871d410ca5a5d6ce77","observation_id":"ede21f63-7f51-47ed-a35c-4903e821c0ee","resolution":{"observed_at":"2026-08-06T20:52:00.890627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.882326Z","title":"Ambulance Siren Detector using FFT on dsPIC,","venue":null,"work_id":"08afcd28-73f8-4556-8764-4e9168558623","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.038822Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:b46745e320f63c7d5c7c85e4487f753092ba1761ab859f5d2a206be83c4b68fd","observation_id":"82db8ff5-894c-4b93-9685-928c48277dec","resolution":{"observed_at":"2026-08-06T20:52:00.884844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.866124Z","title":"A real- time siren detector to improve safety of guide in traffic environment,","venue":null,"work_id":"54cc76c2-a7c9-49a9-b0c1-86715302563a","year":2008},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.045690Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:0605c1957c389cbc2b7eb6890ef7e35f51ae95c5d3aaa933a64e4aacfbad38b5","observation_id":"dfba8b0f-c9f4-4146-89b7-d05b9d958d7b","resolution":{"observed_at":"2026-08-06T20:52:00.868154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23437","last_updated":"2025-06-30T00:21:07Z","snapshot_observed_at":"2026-08-17T21:16:09.510719Z","submitted_at":"2025-06-30T00:21:07Z","title":"From Large-scale Audio Tagging to Real-Time Explainable Emergency Vehicle Sirens Detection","version":1},"cited_work":{"arxiv_id":"2506.23437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.23437","snapshot_observed_at":"2026-08-06T20:52:00.809171Z","title":"From Large-scale Audio Tagging to Real-Time Explainable Emergency Vehicle Sirens Detection","venue":"cs.SD","work_id":"048f4487-1d3d-4e55-8b22-f04a4d652f30","year":2025},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.048590Z"},"links":{"cited_paper":"/paper/2506.23437","citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:e517272e67565fd8074976cc2f7c47c45b84a4bc9f7e0ecbc8caf3e799c778a0","observation_id":"a786030a-1672-44ad-9057-23e129e8709d","resolution":{"observed_at":"2026-08-06T20:52:00.811873Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18665","last_updated":"2023-05-30T00:08:55Z","snapshot_observed_at":"2026-08-18T19:19:53.079147Z","submitted_at":"2023-05-30T00:08:55Z","title":"E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks","version":1},"cited_work":{"arxiv_id":"2305.18665","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.18665","snapshot_observed_at":"2026-08-06T20:52:00.798945Z","title":"E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks","venue":"cs.SD","work_id":"d2ba931a-c65e-44eb-a59f-0e2dc5709ed6","year":2023},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.050930Z"},"links":{"cited_paper":"/paper/2305.18665","citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:0f5cce44e070478e3303215de25b1b32dc2be667a1341776355866099ccc8c33","observation_id":"ae29d64b-daed-4810-bc1f-0dc33f92e003","resolution":{"observed_at":"2026-08-06T20:52:00.801075Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/9229505","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.790083Z","title":"PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition,","venue":null,"work_id":"de460e81-dd48-4594-a5f1-1c512e644f86","year":2020},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.053627Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:e03ac33b2a6799e81db2e03a86d9911f8001c3d92f9caa07bd915dbd25027c76","observation_id":"14d4ed53-b0cf-4dc0-b872-3fd7cbc0fc98","resolution":{"observed_at":"2026-08-06T20:52:00.793844Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/7952261","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.727219Z","title":"Audio Set: An ontology and human-labeled dataset for audio events,","venue":null,"work_id":"ed307c6e-d3f3-489a-a946-2772b71545a9","year":2017},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.055757Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:d997a0444c9d9dd17c04fe7eb6b2926b35ecda97d5e851379f1df8e2b1216b9f","observation_id":"777feb7f-2a6e-4487-986a-9440ad5205a2","resolution":{"observed_at":"2026-08-06T20:52:00.732151Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.860474Z","title":"AudioSet- tools: A python framework for taxonomy-aware AudioSet curation and reproducible audio research,","venue":null,"work_id":"f698f189-ae6b-49c5-ac97-84fdb723ffa2","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.057555Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:2ebd8c1cebe9f1246d7f0030c083e1666ecff43a39cfa732fdf7b60e5201ebd6","observation_id":"2de4389f-db41-472a-b65b-a11cf4affd08","resolution":{"observed_at":"2026-08-06T20:52:00.862521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/9524590","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.645154Z","title":"Sound Event Detection: A tutorial,","venue":null,"work_id":"879c84d5-8ee2-4607-9775-7488b95bb06a","year":2021},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.059518Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:db6b6988e6b84468c06365a70d6a0016c604d3d830ba1da4e61898079f880051","observation_id":"253ea173-cc31-4fd2-a475-019fc7fce175","resolution":{"observed_at":"2026-08-06T20:52:00.649394Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.854914Z","title":"Acoustic data detection in large-scale emergency vehicle sirens and road noise dataset,","venue":null,"work_id":"bd462f4a-e75f-4284-ac74-c0dc5ef103a6","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.061104Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:ab3b23665469c0e378822c5eb44c19465ba4c4fb293c133a3b88fd49ca0ae901","observation_id":"4dabeaeb-a8db-4a90-ae74-1029cca0f33e","resolution":{"observed_at":"2026-08-06T20:52:00.856922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/4041054","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.577600Z","title":"An Automatic Emergency Signal Recognition System for the Hearing Impaired,","venue":null,"work_id":"0206a0e1-bf86-4fef-b04b-b3344363e250","year":2006},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.064932Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:028aaae958ecfbde1ed1904029d8020bad0a2559f87a9313261f132d2286c3fa","observation_id":"806ca13e-d572-483f-bff8-ec6f5b1d1ff1","resolution":{"observed_at":"2026-08-06T20:52:00.582510Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.067358Z","title":"ESC: Dataset for Environmental Sound Classification,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.067358Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:17800d9bdf1d138b1422c7702283075da3c0287ca04601aae9bfb7fa4e418d2c","observation_id":"a7efd293-c048-4032-97f4-8db901c23732","resolution":{"observed_at":"2026-08-06T20:52:00.067358Z","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":"document/9747644","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.374232Z","title":"Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding,","venue":null,"work_id":"63a57df2-06b5-4cba-928d-c45e43f03691","year":2022},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.069780Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:dc700dcdb90f73f2592c5941cde531b69d16c8445b92da11730b32bc0ddfbbfa","observation_id":"9dde949c-f282-4b20-8f65-67f541234b52","resolution":{"observed_at":"2026-08-06T20:52:00.378787Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00475","last_updated":"2022-04-23T20:12:00Z","snapshot_observed_at":"2026-08-16T19:16:33.203758Z","submitted_at":"2020-10-01T15:07:25Z","title":"FSD50K: An Open Dataset of Human-Labeled Sound Events","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.00475","snapshot_observed_at":"2026-08-06T20:52:00.071485Z","title":"FSD50K: An Open Dataset of Human-Labeled Sound Events,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.071485Z"},"links":{"cited_paper":"/paper/2010.00475","citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:2b383fcf9e58e614f0e08a00c5fa3d57a713bc21bdf723e6d5603e9eac91360b","observation_id":"4b3b02fd-e68b-480c-b3a2-1847fad0a99a","resolution":{"observed_at":"2026-08-06T20:52:00.071485Z","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":"2026-08-06T20:52:00.842150Z","title":"sireNNet-Emergency Vehicle Siren Classification Dataset For Urban Applications,","venue":null,"work_id":"b99f8172-7fa6-4a8a-a3d3-bd527c77f154","year":2023},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.073515Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:24ad77c0809fa9becbf7b9c68ac851c4c9537e1937513bdc152cc592327a6334","observation_id":"c1a5a5e6-982a-467a-8123-d451ff928147","resolution":{"observed_at":"2026-08-06T20:52:00.844202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"noises/1929147","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:52:00.253663Z","title":"Large-Scale Audio Dataset for Emergency Vehicle Sirens and Road Noises,","venue":null,"work_id":"2e469b2c-cb41-4515-93c9-02116d493961","year":2022},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.075192Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:a5dc3763bd5e508fa91c4da6e7b0a180899daada736977d75fb72839319103fb","observation_id":"3bd72b15-fd4a-461b-9b78-cc8bb1aa0770","resolution":{"observed_at":"2026-08-06T20:52:00.259286Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-981-99-4626-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:03:45.533247Z","title":"Audio Classification of Emergency Vehicle Sirens Using Recurrent Neural Network Architectures,","venue":"Algorithms for intelligent systems","work_id":"ed7c486e-f0d2-4b9d-8878-21dcba2a318a","year":2023},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.077373Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:843cd5361dbf5d403956b9ab93326e7c5b4a263fb6ea4f1576fed7fa50f9907d","observation_id":"7e77d14a-90f5-4d99-82b5-f166ea09f3e5","resolution":{"observed_at":"2026-08-06T20:52:00.118874Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.836446Z","title":"Large-scale audio dataset for emergency vehicle sirens and road noises,","venue":null,"work_id":"bcdf396f-0c44-4077-b96a-aa3f9c6ee2cd","year":2022},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.079349Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:fa34a01952e93d35648c58a05c93725bdec7a95ce9ebffd094927063a61d3165","observation_id":"3f8d61d5-dc2b-43aa-9801-ec91b574724c","resolution":{"observed_at":"2026-08-06T20:52:00.838707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.081145Z","title":"A Dataset and Taxonomy for Urban Sound Research,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.081145Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:daab7573970c76775c6f666bb2e796eb34b99140ff57a74db429342acb28653e","observation_id":"30685338-9d11-47cd-9413-00e677fa45d9","resolution":{"observed_at":"2026-08-06T20:52:00.081145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1677","last_updated":"2014-06-06T13:12:19Z","snapshot_observed_at":"2026-08-14T23:31:18.636593Z","submitted_at":"2014-06-06T13:12:19Z","title":"Modified Binary Search Algorithm","version":1},"cited_work":{"arxiv_id":"1406.1677","doi":null,"metadata_source":"pith","pith_arxiv_id":"1406.1677","snapshot_observed_at":"2026-08-06T20:52:00.124735Z","title":"Modified Binary Search Algorithm","venue":"cs.DS","work_id":"44c31161-b7b1-46b9-b71c-6c1767de5126","year":2014},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.082885Z"},"links":{"cited_paper":"/paper/1406.1677","citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:f952907ab19244172943adae932a686632ddee01c8db9bbfbbb5f6d72df56a2d","observation_id":"06e2a31d-8bca-4e1c-9115-783420e713bf","resolution":{"observed_at":"2026-08-06T20:52:00.128127Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.830944Z","title":"The benefit of temporally-strong labels in audio event classification,","venue":null,"work_id":"aa00db2f-c89f-423e-a339-60f0118b4ffa","year":2021},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.085466Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:ec4079cc7dd6153d86e71b61d9f21fc2a61eec033f2123fa1d0fb70832fd6c74","observation_id":"5f6ed941-c6c1-4668-952c-6bb140d158bc","resolution":{"observed_at":"2026-08-06T20:52:00.832818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.089629Z","title":"TorchMetrics - Measuring Reproducibility in PyTorch,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.089629Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:4949c5bdcfd0520267e7fa6f7be63032edbb6e5710db2f794c0144c5ec422ca0","observation_id":"4c68dcd8-35a3-4458-ad67-78c6a67e078a","resolution":{"observed_at":"2026-08-06T20:52:00.089629Z","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":"2026-08-06T20:52:00.819111Z","title":"Acoustic scene classification: An overview of dcase 2017 challenge entries,","venue":null,"work_id":"50765970-bb9e-4e55-a3a1-0514040be25f","year":2017},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.092321Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:ce09c4980d770674611a34baaafe3c25d7005659c04052a057dbde497de9ba11","observation_id":"fb82f664-365f-4ebe-a2ff-63af13017bda","resolution":{"observed_at":"2026-08-06T20:52:00.821240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.094337Z","title":"Convolutional recurrent neural networks for polyphonic sound event detection,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.094337Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:68a1090b50bfd3318569782b79c58ae283e66e061ae869bfe77d6b73eb55672d","observation_id":"d4d9e43a-759c-449d-a155-7c778dc8e560","resolution":{"observed_at":"2026-08-06T20:52:00.094337Z","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":"2026-08-06T20:52:00.871727Z","title":"Available: https://www2.ia-engineers.org/conference/ index.php/icisip/icisip2013/paper/view/247","venue":null,"work_id":"6bd53b44-4980-4744-aad9-3ba35fe0db59","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":269,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.043417Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:227b836ddccd666aa8d3860f5811187c1fd2d9b0dc554dd22163a0c3cfb9c896","observation_id":"f9489554-c17a-4ffb-97fa-2cdeb41a4fc4","resolution":{"observed_at":"2026-08-06T20:52:00.873563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.876985Z","title":null,"venue":null,"work_id":"9b146385-349d-4a40-a2dc-7c0184cb991b","year":2013},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.040712Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:a5c8750bd2f09866e6df13b5b59fafd7ad68ca41e5406f2761b262465bb3619e","observation_id":"bf5985eb-acf6-4e58-bce4-5c03d528683d","resolution":{"observed_at":"2026-08-06T20:52:00.878888Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.825245Z","title":"Available: https://api.semanticscholar.org/CorpusID: 234742594","venue":null,"work_id":"0ab9d261-113e-447f-a93b-d01ca1e41755","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.087695Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:428413665469b1b49e6f555d4f1b331cf1e9550d98b60009c3507bf281078815","observation_id":"013a0192-3517-4739-a22f-9c2f2602db98","resolution":{"observed_at":"2026-08-06T20:52:00.827445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.899623Z","title":"Available: https://linkinghub.elsevier.com/retrieve/pii/ S0952197622001890","venue":null,"work_id":"8136ec93-c729-4e9c-b3bd-3c34ae6945f5","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.032529Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:ff7b12ee352bcce95ec76444e26fa9083f19c5a631534a881d186f85de948227","observation_id":"dce62d2b-bb59-4ebd-815e-e7843832c02b","resolution":{"observed_at":"2026-08-06T20:52:00.901590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T20:52:00.849179Z","title":"Available: https://linkinghub.elsevier.com/retrieve/pii/ S0957417424004731","venue":null,"work_id":"6e3e8e82-272c-4c7f-a305-ab7650cbae6a","year":null},"citing_paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T20:52:00.062916Z"},"links":{"citing_paper":"/paper/2507.01563"},"observation_digest":"sha256:63e3f909dac76d30400b5d7b36f8f9e5adc902ac1a65bedef1d34773801d6f39","observation_id":"dc22fe5f-1155-4b51-9a05-908f4f17c05a","resolution":{"observed_at":"2026-08-06T20:52:00.851289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01563","last_updated":"2025-07-02T10:27:41Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-18T23:52:16.818118Z","submitted_at":"2025-07-02T10:27:41Z","title":"Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":10,"verified_fuzzy":16},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.01563."}