{"as_of":"2026-08-18T06:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb71051d54df315d4c4bbfaac13ed1d4187ccf99d3b9997afd8252533b090426","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:21:05.416240Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.15792/citation-record","integrity":"/paper/2504.15792/integrity","json":"/paper/2504.15792/citation-record.json","paper":"/paper/2504.15792"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:21:07.110637Z","title":"von Gablenz, E","venue":null,"work_id":"dfe86dd8-a21b-4f2b-9bd9-09497d841b96","year":2017},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:04.925604Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:930d0f4b124a9be5438b9182ffabd0a6917d5e59f08e6679669932bac9bf58fd","observation_id":"fd89862f-b58e-4a47-8119-78fb802bd23a","resolution":{"observed_at":"2026-08-16T11:21:07.116856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:07.080809Z","title":"A survey on mouth modeling and analysis for sign language recognition","venue":null,"work_id":"fe48783d-b6c0-4858-a518-bd657f074ae2","year":2015},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:04.950118Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:76de603533a1267e55b947d52e03ee1220b3319fe871bf35488ff07695343074","observation_id":"681bed2c-6b19-4cc0-8868-e4ddc784469c","resolution":{"observed_at":"2026-08-16T11:21:07.092343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:07.052731Z","title":"Comparison of image transform-based features for visual speech recognition in clean and corrupted videos","venue":null,"work_id":"928ee6dc-7dfc-457e-abc7-e67e7d8b67c5","year":2008},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:04.973439Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:fe95b8473da8267951e85c760847b1155a64618a5b1dbcfd439206f81143eba6","observation_id":"c6a338da-56f0-4512-87a7-959ecc55bca1","resolution":{"observed_at":"2026-08-16T11:21:07.062210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:07.022194Z","title":"Audiovisual automatic speech recognition: Progress and challenges","venue":null,"work_id":"a7e877a1-e2ea-478d-b1d1-0e594079fdce","year":2008},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:04.990537Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:e5f0dba7147bd7608b00b67932e0a5a4a5705fc2583aace3e7499d2afdb65a19","observation_id":"f28753f4-df82-41d0-919c-1c134f3bf86a","resolution":{"observed_at":"2026-08-16T11:21:07.028295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.997336Z","title":"A review of recent advances in visual speech decoding","venue":null,"work_id":"792c78f7-6b24-4637-86fa-cbed0b9bd5bf","year":2014},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.005556Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:367c05c2534860e73cb667d77b8ce9b1f35b85d20793dfe7c73b317eea4cbe32","observation_id":"503d7f25-fa33-42da-ae5a-42a56e925ece","resolution":{"observed_at":"2026-08-16T11:21:07.003915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.961255Z","title":"https://landesdolmetscherzentrale-gebaerdensprache","venue":null,"work_id":"f90d88c2-487e-4a1d-b6bf-290c5281375e","year":2020},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.017530Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:10bb70e3e13b659cc8a80f4f434de3d9df8709c6ec0c97f0bdd8908033e41bef","observation_id":"a1e24955-7e2e-47e1-bd6f-ae57b1fd87e0","resolution":{"observed_at":"2026-08-16T11:21:06.969466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.930842Z","title":"A survey of research on lipreading technology","venue":null,"work_id":"83339c22-56fc-45d6-8289-27e2a453ed64","year":2020},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.026093Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:400b38b1c7d903eca766d021e91b9c35606a743eadd517cd03fe380281491487","observation_id":"08e6695d-02fb-4db9-8962-52b45ba0d355","resolution":{"observed_at":"2026-08-16T11:21:06.941110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01599","last_updated":"2016-12-16T16:09:34Z","snapshot_observed_at":"2026-08-14T21:31:52.086416Z","submitted_at":"2016-11-05T04:05:18Z","title":"LipNet: End-to-End Sentence-level Lipreading","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01599","snapshot_observed_at":"2026-08-16T11:21:05.035667Z","title":"Assael, Brendan Shillingford, Shimon Whiteson, and Nando de Freitas","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.035667Z"},"links":{"cited_paper":"/paper/1611.01599","citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:96c899101fba853f1dd337fb4d4f3bb16ba77ccf0d555827f1292907cdea0a18","observation_id":"f4154cff-3465-4947-93d5-0ced429abf21","resolution":{"observed_at":"2026-08-16T11:21:05.035667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.05162","last_updated":"2018-10-01T11:23:03Z","snapshot_observed_at":"2026-08-17T19:04:36.233687Z","submitted_at":"2018-07-13T16:21:34Z","title":"Large-Scale Visual Speech Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.05162","snapshot_observed_at":"2026-08-16T11:21:05.055710Z","title":"Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Ben Coppin, Ben Laurie, Andrew Senior, and Nando de Freitas","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.055710Z"},"links":{"cited_paper":"/paper/1807.05162","citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:3d0f724549c8a8ccc186deeb54b0729d1a186666337f976fc87d5e24815b36ff","observation_id":"7996bbf6-fbd5-4584-8471-706b97630e96","resolution":{"observed_at":"2026-08-16T11:21:05.055710Z","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":"2026-08-16T11:21:06.894228Z","title":"Hilder, Richard Harvey, and B","venue":null,"work_id":"f212cf64-0abc-4e22-ae5b-8f501f12ca28","year":2009},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.065377Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:688cd14495f6cbaeaec51eafa35041ad581ccdf5e9f3dbe769d75969308b5a0f","observation_id":"d0ae58bf-8209-46a5-9b23-349bad7d6d98","resolution":{"observed_at":"2026-08-16T11:21:06.910588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.862045Z","title":null,"venue":null,"work_id":"1c91a83e-58f8-4478-b0f0-44533643b890","year":2014},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.076740Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:4d3aef8bed723e2fff40dfe56c30718c9c01cc2ffd072c67eae68db39b220a3d","observation_id":"dbcd3905-0272-4a62-9285-26b8290446d7","resolution":{"observed_at":"2026-08-16T11:21:06.871854Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:05.083934Z","title":"Deep Learning","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.083934Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:56d081df09880d92fa29843d7c361cde9970128b4b3487603e2a8579bfed109e","observation_id":"af0513c3-6fcf-4efa-8b40-2be7efac6502","resolution":{"observed_at":"2026-08-16T11:21:05.083934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:21:05.094968Z","title":null,"venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.094968Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:d3079dcda04c32a5bceac472d5dde6d42e707c623257e1f7c12d1cf1b1c0e5f5","observation_id":"1d320774-8eee-4dfd-8e69-1835b4bac8ba","resolution":{"observed_at":"2026-08-16T11:21:05.094968Z","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":"2026-08-16T11:21:06.786794Z","title":"Rectified-linear-unit- based deep learning for biomedical multi-label data","venue":null,"work_id":"1ba676cc-a26b-46e5-b069-222faf012d58","year":2016},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.112651Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:02baf91ccd443691b2c029f4b2cf1278cf627aaba8d89c95fbe82e713c658dcd","observation_id":"c9f373ba-c8fe-4020-b390-dffe4f703951","resolution":{"observed_at":"2026-08-16T11:21:06.797100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.765128Z","title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","venue":null,"work_id":"9d619adb-e9bd-4677-b4c8-fd438cb8ea92","year":2007},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.131837Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:224d04e0a418927e51798a7bc006d25f2bf90dacffa604109cc778d04f54ded4","observation_id":"528e58bd-ffe3-428d-93cf-9a683cf64f38","resolution":{"observed_at":"2026-08-16T11:21:06.769726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.732964Z","title":"Lip reading using convolutional neural networks with and without pre-trained models","venue":null,"work_id":"7e4735ad-27e4-4c5a-84a5-291f3fc42894","year":2019},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.144500Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:f93f285b7ce386a2409f71ecec4e5e144788a8450121db9819a6e0361dfc9f9c","observation_id":"2d2c79ff-f3f8-417d-a3f9-0572c6091880","resolution":{"observed_at":"2026-08-16T11:21:06.743760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.705973Z","title":"LeCun, B","venue":null,"work_id":"b0284393-bd5e-4141-8608-57baa337da6b","year":1989},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.158062Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:9b58cc830e3acb78709fab6c8898de10e3f7455dc80357abbcb1d552cff4d511","observation_id":"fdeaef50-7cf9-4b2d-8f0b-22c1d8bdc029","resolution":{"observed_at":"2026-08-16T11:21:06.713938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.668652Z","title":"A 3d convolutional neural network for volumetric image semantic segmentation","venue":null,"work_id":"eb6d1f72-9449-408b-be33-2721cb010604","year":2019},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.172011Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:ee5e61a5091a0b1e693ab6de1ad08511dd4617168dc2c5d375b31e96b8cb88eb","observation_id":"6e906ff8-595e-493c-b6a7-4086f7d8681c","resolution":{"observed_at":"2026-08-16T11:21:06.675666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.622002Z","title":"Lipreading with long short-term memory","venue":null,"work_id":"65bd3c3b-ba6e-47d9-a8b2-6c7d36e82a99","year":2016},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.183180Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:f2bd7d89f4cdac0edb2852344e1322954523d8213affbf0fbdd533f956f52789","observation_id":"f3e29555-8712-4d7d-b7c4-22a5e9068e22","resolution":{"observed_at":"2026-08-16T11:21:06.637669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.535094Z","title":"Lip reading sentences in the wild","venue":null,"work_id":"005776b7-993f-4dd2-8bef-812e73f192c4","year":2017},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.189057Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:0c9b7113a1dc3d6671754ec4cfcf400ec5b06246e1f2097b4f4b906eea9380f8","observation_id":"e883bdc3-5a55-4079-bbb4-701a7ce7d5f2","resolution":{"observed_at":"2026-08-16T11:21:06.552438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.489735Z","title":"Learning phrase representations using RNN encoder–decoder for statistical machine translation","venue":null,"work_id":"51f8d4bc-2118-4936-a2c9-95c0e8576e11","year":2014},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.197942Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:46abd3daa11210e8a1116c720f83f8385a282f36e5ed8bede86292894e0cb9b4","observation_id":"62b82d17-0e51-46d7-8970-8bd4d285d56d","resolution":{"observed_at":"2026-08-16T11:21:06.500008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.443330Z","title":"Lrw-1000: A naturally-distributed large-scale benchmark for lip reading in the wild","venue":null,"work_id":"f55106ba-64dd-40ec-912f-82279420c7b1","year":2019},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.205016Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:8e385bef0d6bc520990b8ce7440bdb1b1a04f7208d750f2f08a48aa7ddfb0e50","observation_id":"442b8e03-dbd8-41cf-af24-02680b16e3a8","resolution":{"observed_at":"2026-08-16T11:21:06.462236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.394790Z","title":"3d convolutional neural networks for cross audio-visual matching recognition","venue":null,"work_id":"9435fe61-8ef8-4f40-aa06-f6f320ceca75","year":2017},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.212949Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:070d72e2a9de737d8669cf8dd6024e3233fa700f62749b396cc422dacd43c6c4","observation_id":"e38cbe43-8e8d-41c6-8e98-6c9544c36882","resolution":{"observed_at":"2026-08-16T11:21:06.405442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.348285Z","title":null,"venue":null,"work_id":"ed34d11d-c452-463c-87a7-78b6432e7401","year":2021},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.224826Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:bf595b0ae9544cc71088636cd4dfdcc1626d09d7188f0c8399d7d2be76d78dc3","observation_id":"1c10e6ee-c8b2-477e-a0b2-72aac1838396","resolution":{"observed_at":"2026-08-16T11:21:06.367047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.312728Z","title":"Gowda and Chun Yuan","venue":null,"work_id":"f69b8055-bbea-411f-883f-96407ae6ca20","year":2018},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.236845Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:c5c55ba89a7971074063992c3cdc389296af9454128ad0c8b0b5aaf16bd6b8b3","observation_id":"7a5e053c-c80f-4007-a9ce-79ca7a34b0ea","resolution":{"observed_at":"2026-08-16T11:21:06.319470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1502.03167","last_updated":"2015-03-02T20:44:12Z","snapshot_observed_at":"2026-08-12T21:01:12.961874Z","submitted_at":"2015-02-11T01:44:18Z","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.03167","snapshot_observed_at":"2026-08-16T11:21:05.245735Z","title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.245735Z"},"links":{"cited_paper":"/paper/1502.03167","citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:919096f847d11231e9d591ee7a9a905c46e79b882fe29faa3466d83320a1f8c7","observation_id":"9941125d-2983-4b7d-8cb4-6753246544dc","resolution":{"observed_at":"2026-08-16T11:21:05.245735Z","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":"2026-08-16T11:21:06.264822Z","title":"Dropout: a simple way to prevent neural networks from overfitting","venue":null,"work_id":"3783649a-501c-46c2-a50c-f6d298ee71b6","year":1929},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.254163Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:d684ac7cf5560d950dff43ae590c3970ffd4a86a9800107691ee175aea17cbbd","observation_id":"e059cbf8-69b5-4052-ac59-edd47e84603a","resolution":{"observed_at":"2026-08-16T11:21:06.278950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.215791Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"a5bf41aa-f6d0-4b55-810c-d129bec691cc","year":2015},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.265948Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:55f274879e0164b39912874005ac34b36e49ce6dbbb2465502b699584b8c71e8","observation_id":"4725dc31-e127-4d4b-85a0-7d789d3e8969","resolution":{"observed_at":"2026-08-16T11:21:06.223260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.173668Z","title":"youtube-dl","venue":null,"work_id":"d8e70143-234c-409e-a9e6-52ec4525b536","year":2021},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.274857Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:12563c4d1989aa7987f87bcd948e7530836aef5f13c08195f0db9c91a56e5cde","observation_id":"f41b42d1-0395-4a25-be51-aef7e87c6084","resolution":{"observed_at":"2026-08-16T11:21:06.186440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.115904Z","title":"Converting video formats with ffmpeg","venue":null,"work_id":"940a27e2-d04c-4d96-9f0f-e37772fb5209","year":2006},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.288310Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:a2863d3d82e6dd94543f08171dde47a26dfaf35cbec90100eb0bd05daac77a77","observation_id":"c2e9ca69-b6db-4fe1-994e-aa85f158e2ae","resolution":{"observed_at":"2026-08-16T11:21:06.135116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:06.045220Z","title":"https://github.com/Zulko/moviepy, 2021","venue":null,"work_id":"41156130-17ef-4564-9340-66992e668049","year":2021},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.295242Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:8648f4f1af91328f11007278d64b6fd44d8d2d458daba3a461b5ab1869dce4af","observation_id":"48f068bb-d55e-4829-8df3-53a2ee65f123","resolution":{"observed_at":"2026-08-16T11:21:06.065311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:05.949268Z","title":"The opencv library","venue":null,"work_id":"a775ec5d-498a-494e-9327-390ffa9f4821","year":2000},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.303082Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:7da4f0a28644439f75a8f8067f4203624b8062601601df2eb3328d532135702f","observation_id":"4cdaa92e-83c4-472b-9b29-e88e8df314e1","resolution":{"observed_at":"2026-08-16T11:21:05.975441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:05.917143Z","title":"Face recognition","venue":null,"work_id":"fa0a7212-013e-4f20-9e6d-1ea212e347d3","year":2021},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.326719Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:fe3827c762561b636781e8f31fbeadb8dc203b44072c1c9300a94a004bc5627e","observation_id":"3753be4e-a707-4e3a-a39e-fe206f829699","resolution":{"observed_at":"2026-08-16T11:21:05.923152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:05.890577Z","title":null,"venue":null,"work_id":"543d3b42-c880-4693-863b-37e40148a655","year":2009},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.331670Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:037fa34e065a1c617f5ab76d1e1ee4ad015dbd7cbbf1ae461f3c3b25f14f7c27","observation_id":"62e148df-7702-4909-b3cc-ed04a3d5645a","resolution":{"observed_at":"2026-08-16T11:21:05.900557Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:05.870073Z","title":null,"venue":null,"work_id":"4488fb27-36ef-48fe-b04b-41c38e0cff02","year":2021},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.357104Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:c3f410463acd065f63e372075093404f0c823151f72aab8d3adab9f501bc0602","observation_id":"5c75f762-827f-47fd-8f04-bdd14f292e51","resolution":{"observed_at":"2026-08-16T11:21:05.875765Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T11:21:05.798894Z","title":"Scikit-learn: Machine learning in python","venue":null,"work_id":"d294d38f-add9-4e3d-9165-402e42cdca15","year":2011},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.370745Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:50dd625aff5bda6fbefbbf24343701cd4ef0a91930ae2d568e2138bbb863cdf4","observation_id":"5453a69c-8a58-4eef-ab91-aabce92d83e3","resolution":{"observed_at":"2026-08-16T11:21:05.828809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-16T11:21:05.378653Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.378653Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:d9eb18721a1756e6c2844c9d09a1df805b771bd8535f41869ee91f69538540f4","observation_id":"a169dec5-5ef8-4817-9f8b-1be59050628b","resolution":{"observed_at":"2026-08-16T11:21:05.378653Z","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":"2026-08-16T11:21:05.714914Z","title":"Lip reading sentences using deep learning with only visual cues","venue":null,"work_id":"59add6ba-b57d-464f-8bfa-f0f8e2a0773c","year":2020},"citing_paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T11:21:05.416240Z"},"links":{"citing_paper":"/paper/2504.15792"},"observation_digest":"sha256:81cccbb6075e5dda2e9500b28321d370fbc60b17f9448bab1dcf893d37751003","observation_id":"64e366c0-b978-4e91-9af6-b41e22530cd9","resolution":{"observed_at":"2026-08-16T11:21:05.761802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.15792","last_updated":"2025-04-22T11:12:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T11:15:35.269467Z","submitted_at":"2025-04-22T11:12:00Z","title":"Development and evaluation of a deep learning algorithm for German word recognition from lip movements"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":28},"total_outbound_references":38},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2504.15792."}