{"as_of":"2026-08-15T22:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aab0afe30b0afd8d9bef58892694635981955b261a2ca828bf0291fe7c93da24","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T05:13:04.213412Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:17:00.179023Z","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":"2026-08-06T15:17:22.889460Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.01754","snapshot_observed_at":"2026-08-10T22:17:00.179023Z","title":"Zanlorensi, Gabriel Resende Gonc ¸alves, Eduardo Todt, William Robson Schwartz, and David Menotti","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2501.02270","last_updated":"2025-01-08T13:42:02Z","snapshot_observed_at":"2026-08-15T11:40:27.814260Z","submitted_at":"2025-01-04T12:15:58Z","title":"Efficient Video-Based ALPR System Using YOLO and Visual Rhythm","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:00.179023Z"},"links":{"cited_paper":"/paper/1909.01754","citing_paper":"/paper/2501.02270"},"observation_digest":"sha256:60ddc9c0440efc1141ed92929c4753455235f339d2bbc7d71081a0e75b5b3fcf","observation_id":"8ca70560-029c-4abe-8171-665c1c8907c0","resolution":{"observed_at":"2026-08-10T22:17:00.179023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"cited_work":{"arxiv_id":"1909.01754","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.01754","snapshot_observed_at":"2026-08-06T15:17:22.889460Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","venue":"cs.CV","work_id":"ff3c0e06-037c-4b5a-8cfa-be9989ed2e22","year":2019},"citing_paper":{"arxiv_id":"2507.16362","last_updated":"2026-05-29T08:56:05Z","snapshot_observed_at":"2026-08-12T03:43:48.450934Z","submitted_at":"2025-07-22T08:54:32Z","title":"LPTR-AFLNet: Lightweight Integrated Chinese License Plate Rectification and Recognition Network","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:22.706084Z"},"links":{"cited_paper":"/paper/1909.01754","citing_paper":"/paper/2507.16362"},"observation_digest":"sha256:db3fe5c6e6fe06e26090bc912a2b8dc0ca71b13fbbdc34af727c305cc5083df8","observation_id":"fd90dac6-1937-4d79-8077-43bb482e9fad","resolution":{"observed_at":"2026-08-06T15:17:22.941482Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1909.01754/citation-record","integrity":"/paper/1909.01754/integrity","json":"/paper/1909.01754/citation-record.json","paper":"/paper/1909.01754"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:13:05.464908Z","title":"Automatic number-plate recog- nition,","venue":null,"work_id":"c5ac72c0-3bba-4414-a078-c47abd9e58c7","year":1990},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.821013Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:2b1b613dfa5f53ef32b58ae3e00a6ddc20bff577a12643caf7f562f667947a38","observation_id":"cd1df994-51f0-4a99-8012-3c4fbd60d0c7","resolution":{"observed_at":"2026-08-14T05:13:05.469832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.449067Z","title":"Development of vehicle-license number recognition system using real-time image processing and its application to travel-time measurement,","venue":null,"work_id":"d3226f3f-dd48-4a94-8588-39d9c63e592c","year":1991},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.826826Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:efdad494959481a1cb3977708d13eb06ac86ee2a93603705847f8be2f3c1739e","observation_id":"67a1d0c4-1a86-4feb-9eb3-5848160bfa98","resolution":{"observed_at":"2026-08-14T05:13:05.454298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.433694Z","title":"License plate recognition from still images and video sequences: A survey,","venue":null,"work_id":"0c85650d-4f29-4da1-9d87-8f6a0bc84884","year":2008},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.831974Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:534ff1592d30292fa4d840a93ac9b5fd701bfcf5f5c7d19779fe96092dde8a8b","observation_id":"6c563a2c-dff8-48eb-b6c5-ec5cbe351c68","resolution":{"observed_at":"2026-08-14T05:13:05.438877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.418127Z","title":"Automatic license plate recog- nition (ALPR): A state-of-the-art review,","venue":null,"work_id":"2401d2a4-a4f8-4e77-86ca-5fbe2439134a","year":2013},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.837263Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:5c2624b2605c3e5bc9d430beb2e284e2a9919544a3e296c77c1661f4a0f9b208","observation_id":"54051d61-0a2e-42a9-8c6c-ac81e4c13af7","resolution":{"observed_at":"2026-08-14T05:13:05.423088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.401868Z","title":"License plate recognition based on temporal redundancy,","venue":null,"work_id":"f2ca05dd-caf4-4868-8d78-5981bae4cc81","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.842968Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:b2ba63f54933f550a301bd56c99332e6f794b1b976aa787bbeec7f864a8e5f6f","observation_id":"7d942c7e-4145-4f0a-9e3d-5ed882288b1a","resolution":{"observed_at":"2026-08-14T05:13:05.406960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.386169Z","title":"Real-time brazilian license plate detection and recog- nition using deep convolutional neural networks,","venue":null,"work_id":"f9467847-f6f2-4e37-a3ec-77830561c136","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.848216Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:2c59aff6be4c9df2ff2586bfce6f1b852e1c63f7d0b4dc62c42c57386330d7ac","observation_id":"47d93032-8cfb-418d-9d88-3dfb31ff4b3e","resolution":{"observed_at":"2026-08-14T05:13:05.391255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.369221Z","title":"License plate detection and recognition in uncon- strained scenarios,","venue":null,"work_id":"961c3f3c-4cde-4c7f-bfab-26088ae0821e","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.854157Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:96e06b4e29fb0b91a6b8da4003620b343bed58eed196e5f9f4dbeade8c0be8d2","observation_id":"c5a09693-0828-4205-b2ee-21885371c4e9","resolution":{"observed_at":"2026-08-14T05:13:05.374724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.352029Z","title":"Real- time automatic license plate recognition through deep multi-task networks,","venue":null,"work_id":"80361c8e-6b7f-4185-b691-c04fccd8b75e","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.859949Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:3b28bf9e21a2b546bfaaf34902130a3eb2bf15a885058ba82f3321133f8ee152","observation_id":"f9612a11-8efa-49e6-9d37-0a6d02270904","resolution":{"observed_at":"2026-08-14T05:13:05.356707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.336148Z","title":"Segmentation- and annotation- free license plate recognition with deep localization and failure identification,","venue":null,"work_id":"eeadeee4-0cda-4cea-9baa-b8cdb6f11455","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.864425Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:0712508b3d87d212970e7ccb08ccc5cfa2155272648a7d29479b2ce3b7703096","observation_id":"a7557f27-0508-4eef-ae6d-31f0a6988b48","resolution":{"observed_at":"2026-08-14T05:13:05.340991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.320619Z","title":"Holistic recognition of low quality license plates by CNN using track annotated data,","venue":null,"work_id":"fe013ef8-f81c-4cb8-a327-e4bc863d5e14","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.870172Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:7b6eb2499ec4f03b7292ffd30cb49afbe2df29c1bd0d3d40c9a5dc71ab628e5e","observation_id":"7d2ce3d4-b35c-4983-8918-293b064519de","resolution":{"observed_at":"2026-08-14T05:13:05.325818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.304495Z","title":"Multi-task learning for low-resolution license plate recognition,","venue":null,"work_id":"541a6a5b-0cfd-4b03-ac91-04d2e0056694","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.875238Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:fde3c3e6f4a2bc4f5d9fe4eabcfb1482eeab759156e67cbe987040d717e551af","observation_id":"97357021-2ddb-45d1-be69-d2863adea917","resolution":{"observed_at":"2026-08-14T05:13:05.310041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.287734Z","title":"Reading car license plates using deep neural networks,","venue":null,"work_id":"e0607486-4088-4fa8-80d4-a1991a9cfcbc","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.880693Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:9f2a264bb0984e5466fd4ca70da4dc31d27d45a384239eafc24ab57e737fd9cf","observation_id":"74124d9f-43b5-465c-809c-796b77332e90","resolution":{"observed_at":"2026-08-14T05:13:05.292916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:03.885975Z","title":"Deep learning,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.885975Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:0a95dd8956a87af3cc2e360c0a785d070bbe49e891eef98009831cbcf41728be","observation_id":"ae6ec427-8b57-4dc0-bda2-7ded1d7557a3","resolution":{"observed_at":"2026-08-14T05:13:03.885975Z","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":"2026-08-14T05:13:05.261570Z","title":"A CNN-based approach for automatic license plate recognition in the wild,","venue":null,"work_id":"0cc97248-29af-4b5b-ba52-c573796a5b70","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.891616Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:810f6b1ca7084ba2d999b59d782f5cedf0a36a50d4d579ae29a6afa831519edb","observation_id":"c9898171-4390-4280-8229-a5d86fa0da1f","resolution":{"observed_at":"2026-08-14T05:13:05.266633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.246938Z","title":"Toward end-to-end car license plate detection and recognition with deep neural networks,","venue":null,"work_id":"4390d5a0-d9a2-4906-914d-5bf85a49086d","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.896551Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:0ff5e8aedfd144bb68b27a7671aa2480b24d60c898b3a09c363974b8ed4743d3","observation_id":"0b40522c-8fbd-4cb3-8a8d-0b88fe93aebe","resolution":{"observed_at":"2026-08-14T05:13:05.251830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.231894Z","title":"You only look once: Unified, real-time object detection,","venue":null,"work_id":"f37b7ed6-c2b6-4315-9b4c-5074b0fbb5b5","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.901362Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a992450651f52d0c4936f3a945d85ebae3e7dd832dac07d8576ea1dfe7fb090b","observation_id":"71066479-ff3f-433a-bdc9-399c4ce135a3","resolution":{"observed_at":"2026-08-14T05:13:05.236876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.217010Z","title":"A robust real-time automatic license plate recogni- tion based on the YOLO detector,","venue":null,"work_id":"ada5e0d4-7743-4d3f-af48-269368cf28cd","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.906567Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:dc98b308f5d6d27b5f7ab46db4e3f08f8508ed2d162e6679c5b10fd4b7be1867","observation_id":"35d2794c-6dbd-4f30-810d-feb28b67f6cd","resolution":{"observed_at":"2026-08-14T05:13:05.222093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.202218Z","title":"A two-stage deep neural network for multi-norm license plate detection and recognition,","venue":null,"work_id":"5ce7a992-c152-4798-92a8-a61ea84d26bb","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.911580Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:b4bed1d9ac9c5035a975f5627ba22b0873283a0a1a1280beb6b8564806b8f4f1","observation_id":"05614bb6-3e1c-41a8-98f3-fa4dfbd55d7c","resolution":{"observed_at":"2026-08-14T05:13:05.207228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.186534Z","title":"A two-stage character segmenta- tion method for chinese license plate,","venue":null,"work_id":"18e4d6bc-c572-45aa-9c1c-a5960abe0147","year":2015},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.916445Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:48650efcb195540ab1ccfaade1f93de7f91306619416546da7c62b25c1603f85","observation_id":"e86687b1-6f7b-4c57-b4a0-5210c58c1489","resolution":{"observed_at":"2026-08-14T05:13:05.191549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.170978Z","title":"Vehicle license plate recognition based on extremal regions and restricted boltzmann machines,","venue":null,"work_id":"a6f6f2b2-3e9f-4b68-b829-9d61ce704e66","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.921910Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:5418d184f6e91c214f64c9298529c0416eddb3c364fd6cda3e14136e6f2f70ad","observation_id":"f88fef5c-20ec-47c3-910e-6e5362ae94c9","resolution":{"observed_at":"2026-08-14T05:13:05.175791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.155695Z","title":"A robust and efficient approach to license plate detection,","venue":null,"work_id":"3027297e-a16f-44e9-b19d-4e92044bd1d4","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.927739Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:2e9c211a54640d9555c95c2fac897a9599c15749d2938285aa68d05edcc41a19","observation_id":"83195b8c-657f-42bb-bc9c-e46adc832bc6","resolution":{"observed_at":"2026-08-14T05:13:05.160479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.141120Z","title":"A survey of advances in vision-based vehicle re- identification,","venue":null,"work_id":"81cd6c0c-650a-418c-871f-8752646ac84c","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.932712Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:dca6766d6d4ae03586138412967902f469c799e4c654d3dcf757420fe82e97ac","observation_id":"fcf5bc23-62e7-47f1-8e4f-e8e7391ab973","resolution":{"observed_at":"2026-08-14T05:13:05.145986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.123838Z","title":"PROVID: Progressive and multimodal ve- hicle reidentification for large-scale urban surveillance,","venue":null,"work_id":"69ba17c5-9f31-47e2-aa75-d5d172e367ef","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.938751Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:004694d0ce4fbdecf006d5aa0d25c6f1abbb179c8dd35c1889db0529afe1bb2a","observation_id":"da86f9a4-d3c4-4d8b-aca2-6a83cf15d26c","resolution":{"observed_at":"2026-08-14T05:13:05.130094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05541","last_updated":"2021-07-25T11:39:59Z","snapshot_observed_at":"2026-08-08T22:08:19.938048Z","submitted_at":"2019-11-13T15:23:04Z","title":"Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks","version":3},"cited_work":{"arxiv_id":"1911.05541","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.05541","snapshot_observed_at":"2026-08-14T05:13:04.269465Z","title":"Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks","venue":"cs.CV","work_id":"6ef1d28f-8561-4a85-82db-d233fcf2c8e3","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.943808Z"},"links":{"cited_paper":"/paper/1911.05541","citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:bf41df44ecb2a72b696eca05a3b84f9407c82430173cf45d54685c8ccb1fcb87","observation_id":"bc80a17c-94f0-4853-bc4e-60a82cb53fb2","resolution":{"observed_at":"2026-08-14T05:13:04.276666Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.108024Z","title":"Part-regularized near-duplicate vehicle re- identification,","venue":null,"work_id":"29d33164-4dba-4241-a3f4-6eaece6341aa","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.950000Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:543e416f328221d388ddc17b8267f4d0b71d86efa37dd870f495c0c58a26a4f3","observation_id":"d89982be-1562-40dc-8be3-751164b87840","resolution":{"observed_at":"2026-08-14T05:13:05.113423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.091697Z","title":"Deep quadruplet appearance learning for vehicle re-identification,","venue":null,"work_id":"8c96dab1-0d97-4553-9d3b-503a48a00d47","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.954699Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:564079ae918e61c0c7263ca8ae09bee1c430a3fa6094e29bc10ab99d3b7cdf1e","observation_id":"414c4142-900d-4863-9bd4-45d5af7965f0","resolution":{"observed_at":"2026-08-14T05:13:05.097663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.076392Z","title":"YOLO9000: Better, faster, stronger,","venue":null,"work_id":"87f0b44e-2670-4263-9914-8d0598592b5c","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.959795Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:d64afa6ea92a554dd2fe61e2b0e700da221f8a03239bfe57fad5499bcc58aef7","observation_id":"c36c3276-4f8c-4e6e-881c-0a8fe72b4a7b","resolution":{"observed_at":"2026-08-14T05:13:05.081372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.02767","last_updated":"2018-04-08T22:27:57Z","snapshot_observed_at":"2026-08-15T16:54:48.034047Z","submitted_at":"2018-04-08T22:27:57Z","title":"YOLOv3: An Incremental Improvement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.02767","snapshot_observed_at":"2026-08-14T05:13:03.965300Z","title":"YOLOv3: An incremental improvement,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.965300Z"},"links":{"cited_paper":"/paper/1804.02767","citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:f24ecae7609b9f443507e48f8f586ec3f783421588968d61e8b1dfbbe0149623","observation_id":"b5255936-1c91-4068-af3e-0a1efa60662d","resolution":{"observed_at":"2026-08-14T05:13:03.965300Z","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":"2026-08-14T05:13:05.061383Z","title":"The pascal visual object classes (VOC) challenge,","venue":null,"work_id":"45cf9efe-d1f3-4f92-812a-3500c0f4b3a4","year":2010},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.971312Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:843c3adef21fdbb9633ab8bb4b787d6c0efb4cfec6287f627d857155f896f297","observation_id":"b06b3a5f-f25a-497e-8611-049b57dadc60","resolution":{"observed_at":"2026-08-14T05:13:05.066122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.045879Z","title":"Microsoft COCO: Common objects in context,","venue":null,"work_id":"fc80a4be-851f-42a3-9dcf-833d18063156","year":2014},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.976324Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a13bd7d474276ce376dbb366cb4de079d5a69059505aa78d8459f92084048470","observation_id":"140992d1-18d4-4cb5-b98a-b337b98360f7","resolution":{"observed_at":"2026-08-14T05:13:05.051193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.030023Z","title":"Principal visual word discovery for automatic license plate detection,","venue":null,"work_id":"a282697c-c45d-4570-bbee-452c50b5cf29","year":2012},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.981248Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:1292f115f6e7618f5631d7384e3b9b6a905abeafc2cc0eda6aefaf212af8c2dd","observation_id":"e84c79f4-c365-424f-8173-bc76d0769766","resolution":{"observed_at":"2026-08-14T05:13:05.035125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:05.008491Z","title":"OpenALPR-EU dataset,","venue":null,"work_id":"07c03fb0-ef92-4d72-9a31-159e7ba9c8b8","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.987172Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:5a967bf4fb9b7653199549c064c8a157acece155aebdbe48fb751a272baae373","observation_id":"18503d96-ca61-487a-922c-bbb31a001832","resolution":{"observed_at":"2026-08-14T05:13:05.018385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.990288Z","title":"Benchmark for license plate character segmentation,","venue":null,"work_id":"d02d1d79-0e59-46b1-afa2-4fac47d8d09a","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.992231Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:c29f58a7fe7e0a4e97df09c1cc73a2a04e67a75bc71d0d340c27470c27bd3032","observation_id":"d558dc62-58ed-4a27-a3de-68f98a913eee","resolution":{"observed_at":"2026-08-14T05:13:04.996161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.972688Z","title":"Robust license plate detection in the wild,","venue":null,"work_id":"7ca48612-2aff-4789-a89a-36fa2be69e79","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:03.997579Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:6552b6bd12c46b5894c6caa6968a42adff653a13f4c1241a77ada5613699d22a","observation_id":"86986a4a-2ed8-4fd6-98a5-18228f5d89cf","resolution":{"observed_at":"2026-08-14T05:13:04.977936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.956106Z","title":"Convolutional neural networks for license plate detection in images,","venue":null,"work_id":"34938e42-679d-4883-ac67-b3a2ec5ca626","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.003410Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:13b00a02bc43900f10f00ec0cf18d7caf4f9afedcd8abc0ad31d2ce7f660276b","observation_id":"270e348b-01b7-4e4a-a4a1-0b4a63c159d5","resolution":{"observed_at":"2026-08-14T05:13:04.961604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.939882Z","title":"A new CNN-based method for multi-directional car license plate detection,","venue":null,"work_id":"5fe67e2a-b173-4343-8446-feb57e19307f","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.009273Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a51e8979b7bb2bf863252a504b33c1f621bea7dc989ab7773a1aee19cd3349ee","observation_id":"a4daa7e4-ff7a-4e0b-9dd3-e3ddeff09f84","resolution":{"observed_at":"2026-08-14T05:13:04.945145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.923999Z","title":"Real-time license plate detection and recognition using deep convolutional neural networks,","venue":null,"work_id":"017eb01f-2597-409d-853c-9ee482287d63","year":2020},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.014635Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:c78fcaade3b547e86e7ef43654f70101e54851c1e09acf595d0248070930f053","observation_id":"04239014-a653-4cf3-8c39-f986f425e9f5","resolution":{"observed_at":"2026-08-14T05:13:04.928866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.907059Z","title":"Towards human-level license plate recognition,","venue":null,"work_id":"2049ba69-8159-40de-a7e9-566b705d9a33","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.019626Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:e291d9215a11082fba89ba868c6a919d98254af660672bd3fe8595e3a88fd2ec","observation_id":"53dd1e21-b809-4c73-8d4b-d5cd76d0b6e2","resolution":{"observed_at":"2026-08-14T05:13:04.912743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.890360Z","title":"Robust blur kernel estimation for license plate images from fast moving vehicles,","venue":null,"work_id":"e9c17574-5777-4499-8d57-4d9430cb3b0c","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.025697Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a6acc9840cff172f996110c98ab1446a2e5d0e5184e7f2e269e71f0c7ea9315c","observation_id":"77820d74-a58e-4157-9b84-5f3773880f98","resolution":{"observed_at":"2026-08-14T05:13:04.895579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.874596Z","title":"CNN for license plate motion deblurring,","venue":null,"work_id":"6ca0ce42-8aef-4493-9b84-459553e23cc8","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.030820Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:69db351cf4ca2c6602e8558a72faf18099075a9d69b49d78f2d98afab5ab5a2f","observation_id":"d969991c-6130-4a2b-aca1-c8670515bbfd","resolution":{"observed_at":"2026-08-14T05:13:04.879725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.858887Z","title":"Improved license plate localisation algorithm based on mor- phological operations,","venue":null,"work_id":"e082d2d6-d46d-4d21-b451-0e12d5e2793d","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.036506Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:655367e32800b48185864186d1f808950bbc108a2a3f204103f255c8873ef780","observation_id":"7ff50008-4c32-48a3-ac8a-97b5dda2c523","resolution":{"observed_at":"2026-08-14T05:13:04.863737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.842143Z","title":"Vehicle license plate recognition with random convolutional networks,","venue":null,"work_id":"e1647af4-19c2-419a-b55a-8c362856e70f","year":2014},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.042679Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:29a613f41bc65df91f912dbe29b6a512ae378bf2a534fe1d7d4f5a5c93c54748","observation_id":"eac28cf5-48e5-43e6-940b-ea15b0587404","resolution":{"observed_at":"2026-08-14T05:13:04.847212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.826419Z","title":"Chinese vehicle license plate recognition using kernel-based extreme learning machine with deep convolutional features,","venue":null,"work_id":"bb1f1bf1-a8fb-45ef-90d6-2bbb7e1fe47a","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.047492Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:94fbd7b648dbb37c2ab49b383fd024f0f2bde77aa0fd5b62f98ca4b152517990","observation_id":"b0cc2b90-0a8a-4d09-a15e-3a7e0f7961df","resolution":{"observed_at":"2026-08-14T05:13:04.831822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.809818Z","title":"A comparison study on real-time tracking motorcycle license plates,","venue":null,"work_id":"57e69151-d395-4510-ae93-dc82ad0a04ca","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.052627Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:3f1d02c9fa9a9c8cdfc828b0b0fe0e10b59f92d003c40381cea04fa20d177de4","observation_id":"759100ab-63d4-4977-a24b-3df4572c862f","resolution":{"observed_at":"2026-08-14T05:13:04.815673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.792435Z","title":"License plate segmentation and recogni- tion system using deep learning and openvino,","venue":null,"work_id":"1e5eec5b-6f30-4690-baae-0c3c7fc18846","year":2020},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.058044Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:b2c507961d3edaeb684fb9d8ec6018c2ec749db4fec38b43025ec248a93465c2","observation_id":"ea8b9866-53ed-4782-89f0-0821dbfb1889","resolution":{"observed_at":"2026-08-14T05:13:04.798552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.776303Z","title":"SSD: Single shot multibox detector,","venue":null,"work_id":"d6037a04-3bf5-4eac-968c-926645e1ee17","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.062893Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:71e48fef644dec2191c2daea51cdb9ff575142f433d94b63d5cc5f47073dade9","observation_id":"848ca150-720c-4cd5-b5c1-95223de1449f","resolution":{"observed_at":"2026-08-14T05:13:04.781270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.759942Z","title":"Focal loss for dense object detection,","venue":null,"work_id":"ab753c3c-6cbd-4c66-8861-0dfadb9bec35","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.068235Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:be9f15a732ddeb5d2169c5545c92717cec266207552d73c639ca33aeaf72fa15","observation_id":"829f5301-f738-4188-ad3c-70d36949bcf5","resolution":{"observed_at":"2026-08-14T05:13:04.764752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.744393Z","title":"Driver activity recog- nition for intelligent vehicles: A deep learning approach,","venue":null,"work_id":"04554f8e-b1bb-4edd-8062-4be6c8295510","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.073376Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:f64e489bff0d6670a814f315b0b7a13ab38982858bc3c43a904c54dca8e4dac5","observation_id":"46baa6d2-2bb2-4d37-9f03-274ae88ff407","resolution":{"observed_at":"2026-08-14T05:13:04.749276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.726967Z","title":"Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images,","venue":null,"work_id":"c009e6fb-7bbf-44cd-b90a-773d28b942d6","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.079230Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:de152346626a8cfdfce93a9aaef4413d7489fbeb6532c31065e81576efc6a4c4","observation_id":"cba675e4-c5e4-43fb-ba05-07f5b9f09159","resolution":{"observed_at":"2026-08-14T05:13:04.732422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.710092Z","title":"Deep learning for generic object detection: A survey,","venue":null,"work_id":"be7413ea-fffa-4836-8da8-2f87af36213e","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.083912Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:60c414101d99df309f04e0426d75f3ac70765d9a6cb47d940174a0de98641028","observation_id":"68f90951-e9be-4e24-bdbb-e8a7be4c83c6","resolution":{"observed_at":"2026-08-14T05:13:04.715908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.694444Z","title":"Mercosur finally agrees: unified number plates for new cars beginning 2016,","venue":null,"work_id":"515cecf6-f3ea-46f7-8eaa-8b971ae168d1","year":2016},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.088950Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:bbe880fb5278f4700455c1ee491e3945cd1aa1f0263498581da51a8b8fb1d7ea","observation_id":"8f3cf39c-0498-4e61-8528-bc088529fb95","resolution":{"observed_at":"2026-08-14T05:13:04.699669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.675494Z","title":"Mercosur vehicle plates should cost R$138.24, says S ˜ao Paulo’s traffic department,","venue":null,"work_id":"99f09cd3-9353-4f0b-a3c5-c341ac9ab7b7","year":null},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.093859Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:c4f82b672585279e26303b0934c022392722ba58ae09a948c421ce6d87a42a7b","observation_id":"1c4074d5-53af-4d60-b7cf-4e01f8517f9d","resolution":{"observed_at":"2026-08-14T05:13:04.683814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.658059Z","title":"Mercosur licence plate model is postponed to 2020,","venue":null,"work_id":"eb2dc21b-87d3-4575-ab2d-140cfd54ceee","year":2020},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.099080Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:ef49ae1169476882d7435a09bdbd05579be4653656256ff6eb86a2e698853d9f","observation_id":"63c4b977-8227-404c-b4d4-e537fea2b1eb","resolution":{"observed_at":"2026-08-14T05:13:04.664072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.641981Z","title":"Spatially supervised recurrent convolutional neural networks for visual object tracking,","venue":null,"work_id":"eb693359-87ca-4533-8f8e-82b5b0a8fd1d","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.103918Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:bd8a3ceb2bc43a927eab9ded45310980d4efbb75f2d9e1dc157f4bf44f6b36ae","observation_id":"05e15f8c-ca97-40d9-b8d7-354be9517f7f","resolution":{"observed_at":"2026-08-14T05:13:04.647800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.625746Z","title":"SqueezeDet: Unified, small, low power fully convolutional neural networks for real-time object detection for au- tonomous driving,","venue":null,"work_id":"66d73802-7182-4e43-9c89-10494d525998","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.108928Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a0f5312ec9024559b57b4775e038b9ff9fe5911ce621b79a534903b51c351391","observation_id":"e65c8107-294b-4943-83d5-cc03aa4bddda","resolution":{"observed_at":"2026-08-14T05:13:04.630896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.609997Z","title":"LCDet: Low- complexity fully-convolutional neural networks for object detection in embedded systems,","venue":null,"work_id":"c0b95137-83af-44ae-9ac8-8d47aef6caf3","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.113761Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:547b9dcb7e61acc80999b996a8e67d2d1e398ec0e783387d6e8cdfc5f9b17a48","observation_id":"bcac5e28-862c-4b0e-a8d9-edd6d0b83893","resolution":{"observed_at":"2026-08-14T05:13:04.614859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.592897Z","title":"A benchmark for iris location and a deep learning detector evaluation,","venue":null,"work_id":"b74ee902-97f6-487d-97c9-f2e4b2383e99","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.118882Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:69576ecda0325b8d12dafd345b7ca923979226cf449870be323c823adab6706e","observation_id":"19edd33a-1e28-486f-95a4-c2263c6b203f","resolution":{"observed_at":"2026-08-14T05:13:04.598271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.576178Z","title":"Accurate detection and recognition of dirty vehi- cle plate numbers for high-speed applications,","venue":null,"work_id":"6efc14eb-c204-4aaf-8d68-de4505f01bf6","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.123380Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:85a35f805fb7fc775c0fd8698b7d5e02cb7a54f0807652d5283920cd61d6dce2","observation_id":"920bb0b2-4f92-4984-be48-559d5aefaeda","resolution":{"observed_at":"2026-08-14T05:13:04.581284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.559523Z","title":"Caltech Cars dataset,","venue":null,"work_id":"5944fd73-931a-4295-a608-7375ba07b802","year":1999},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.128254Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:c80bcabee31c52ddac6cafb46e1dd026e5ca020f59e76ab47835fd1f54fc63ae","observation_id":"99aaa2b8-afea-4137-bcc2-9d0559b15f82","resolution":{"observed_at":"2026-08-14T05:13:04.564576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.543779Z","title":"EnglishLP database,","venue":null,"work_id":"08011db4-87c1-43dc-877c-2e3c00ab2b5e","year":2003},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.133805Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:c3371bbb1a6f137334b064f3a4c34d9f0ac59bf6bd889952e397a46ca1831457","observation_id":"102e7e9f-21c8-4a56-bc2f-a626abe2eb5f","resolution":{"observed_at":"2026-08-14T05:13:04.549175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.527791Z","title":"UCSD dataset,","venue":null,"work_id":"5a2b9cbf-afbf-41cf-a989-fa5c69b19fb3","year":2005},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.139125Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:5a948a03d0bc2f3aea6305b0be07334d87a82a58e80828e713f3f02a3e92f4b9","observation_id":"080ae2e8-f150-4de8-824e-1ccdb02e4a5e","resolution":{"observed_at":"2026-08-14T05:13:04.533085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.512305Z","title":"Application-oriented license plate recog- nition,","venue":null,"work_id":"36c109d1-e14f-418a-9324-520eb4106321","year":2013},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.143844Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:45ab3edf03683faa518456a424e890f33e326331b2ac7113ba062a3781fb83b7","observation_id":"93a487ae-ca21-4b9e-a378-4dbe2f322d13","resolution":{"observed_at":"2026-08-14T05:13:04.517629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.497046Z","title":"Convolutional neural networks for automatic meter reading,","venue":null,"work_id":"f15fbacf-e7d8-4eca-aa5e-324ed34776d4","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.149280Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:de8557c45eb7c5fe6d5199e9cd1f434c9a23c5cbe1a48dd22b95543475f7c255","observation_id":"c6e4d9f3-94a3-441e-8c5f-2a6e065c84e8","resolution":{"observed_at":"2026-08-14T05:13:04.502059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.481484Z","title":"Convolutional neural networks-based intelligent recognition of Chinese license plates,","venue":null,"work_id":"12caf392-59a7-4489-8c9c-f09d06d7e4d2","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.153827Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:1afa8ca48d6cc60fecab294e58a200530f4fb329cc278195d2d30276272715ad","observation_id":"7f7ecb69-e3f1-4d68-8e6d-53597fab823e","resolution":{"observed_at":"2026-08-14T05:13:04.486668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.465104Z","title":"Darknet: Open source neural networks in C,","venue":null,"work_id":"54fe74c2-7044-4c5c-ab86-f6d8eb2a0053","year":2013},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.159393Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:d418628441f7ec51d27f7fb5b6c94154cd8216e41e1166d7c72aca6c961cef42","observation_id":"6b7b69f7-34ed-4353-9378-fb0ebefb353f","resolution":{"observed_at":"2026-08-14T05:13:04.470262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.449689Z","title":"YOLOv4, v3 and v2 for Windows and Linux,","venue":null,"work_id":"246cff8f-c445-46ee-9c39-7f35281137d5","year":2021},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.164219Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:cc63cf7b3ab8d4cc12d2108c13cf0c48772d973bc2745afe45ce99e2a61bfab8","observation_id":"2b2a49e4-85ed-45a8-942b-c15687fc6d6d","resolution":{"observed_at":"2026-08-14T05:13:04.454421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.434002Z","title":"Towards end-to-end license plate detection and recognition: A large dataset and baseline,","venue":null,"work_id":"90c90609-5e36-4e8d-b348-46bc37f6dd0d","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.168997Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:03229e469b9f98525444a4ac917180d13df87f9767b68b74852cb7057e6f0625","observation_id":"7d4097c1-81e5-450f-9c30-3a7588483145","resolution":{"observed_at":"2026-08-14T05:13:04.438909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.417854Z","title":"License plate detection based on fully convolutional networks,","venue":null,"work_id":"d20d14f9-3634-432f-bb32-a352b69cad3c","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.173922Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:c4bdf9ba60b754c9cf28a6be2ade0e6973f8999c053af66e4a3f108490f6616f","observation_id":"921f12c9-2e88-4409-ac07-aa978575e5d3","resolution":{"observed_at":"2026-08-14T05:13:04.423343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.402448Z","title":"Lightweight fully convolu- tional network for license plate detection,","venue":null,"work_id":"48ca6b8b-eb95-48d7-9b5c-473aa52b4d08","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.178889Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:6b6297b42ee3df991a2398e645b78a476f8b9461e8f7506b5d18cee3c01afa75","observation_id":"7b799997-83c1-4203-bdd4-64ddee51793b","resolution":{"observed_at":"2026-08-14T05:13:04.407796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.386405Z","title":"Vehicle license plate detection and recogni- tion using deep neural networks and generative adversarial networks,","venue":null,"work_id":"dae38b9f-b893-4ea6-ad91-ffdf873ba977","year":2018},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.184736Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:ab3bc9b66ca1bd6c41eec74704eb5a9cac3584ebce9e7cac45d30f8ad81172a2","observation_id":"3ac34c0d-e2b1-4615-b919-77e7c43092a3","resolution":{"observed_at":"2026-08-14T05:13:04.391697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.371310Z","title":"Robust chinese traffic sign detection and recognition with deep convolutional neural network,","venue":null,"work_id":"e10fe13e-1e1c-44c6-97b6-b35e1e6bb338","year":2015},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.189368Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:3eeb705e29bca520bff6c4daa4875868521afd8f07c0dd90fac028c067cfe190","observation_id":"a156cd2a-2816-441b-b451-22f0c647400b","resolution":{"observed_at":"2026-08-14T05:13:04.376224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.353984Z","title":"License plate detection in an open environ- ment by density-based boundary clustering,","venue":null,"work_id":"4804520f-740d-40f9-888b-5da60c3ae22d","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.193902Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a87a00319158a2b8963429119d33539fe301886cf7903b646a3736954611a581","observation_id":"1e01f759-909a-46fe-a8d4-7f0a61a0ba3c","resolution":{"observed_at":"2026-08-14T05:13:04.359614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.338342Z","title":"License plate detection and recognition using deeply learned convolutional neural networks,","venue":null,"work_id":"55979818-b1b7-4307-b7e7-770688567f4d","year":2017},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.198359Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:24463d7b8df606076b066958073843f148d139f1fb5be78bfa9ed4854989f623","observation_id":"ed60d723-ebf5-48f0-8176-2e5faf938a87","resolution":{"observed_at":"2026-08-14T05:13:04.343195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.322208Z","title":"A comparison study on motorcycle license plate detection,","venue":null,"work_id":"3aa63643-a8e1-45dc-b342-3ca7965a4349","year":2015},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.202914Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:d729c10aaf983942937cc875ea86dd96b400a0cb6eb15bb53f6f3d6177d3855b","observation_id":"3c7bbeae-adf0-4e64-a8e1-fe2b2f707f6a","resolution":{"observed_at":"2026-08-14T05:13:04.327506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.304574Z","title":null,"venue":null,"work_id":"3e1ef99e-40f3-4228-ae4e-3a3c209400b3","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.208065Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:5e722b23d733aedd71cedd2750f15ced212ce6403a86f55be601dc0abcf1100f","observation_id":"db2252cc-320d-4eb4-a549-021e7f25882a","resolution":{"observed_at":"2026-08-14T05:13:04.309659Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T05:13:04.288023Z","title":"Privacy protection in street-view panoramas using depth and multi-view imagery,","venue":null,"work_id":"a780083b-6427-42ef-b1d0-fb21e9b64be3","year":2019},"citing_paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","version":4},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-14T05:13:04.213412Z"},"links":{"citing_paper":"/paper/1909.01754"},"observation_digest":"sha256:a4f80d2359d8ae2dc2a03ee9658ad4d1497a3b82248a9c19e08e1308995b0ed2","observation_id":"98adcd4b-81a0-45eb-94c2-8e1e772c64a0","resolution":{"observed_at":"2026-08-14T05:13:04.293883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1909.01754","last_updated":"2021-03-09T15:36:30Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T19:00:12.140893Z","submitted_at":"2019-09-04T12:51:51Z","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":72},"total_outbound_references":76},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:1909.01754."}