{"as_of":"2026-08-18T01:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7185c409c73b0c054474f7596326dd6373ef46ebe6bf1855aebed2f34422b6d7","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:56:51.510589Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"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/2412.03019/citation-record","integrity":"/paper/2412.03019/integrity","json":"/paper/2412.03019/citation-record.json","paper":"/paper/2412.03019"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5555/3327144","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.993307Z","title":"Unsupervised attention-guided image-to-image translation, in: Proceedings of the 32nd International Conference on Neural Information Processing Systems, p","venue":null,"work_id":"4886510a-2249-4b22-b399-24119911aaed","year":2018},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.191473Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:08b189e9a9a7a356f7bd2b1e9196a4bec1073d15345013fd207c29e0e690d0ae","observation_id":"e939b2d4-7488-440e-b68a-69876762244c","resolution":{"observed_at":"2026-08-11T22:56:52.013754Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1007/s11263-008-0200-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.970774Z","title":"Analysisofrainandsnowinfrequencyspace","venue":null,"work_id":"981dfa19-6fa1-40f3-80bb-7e81425027de","year":2010},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.197669Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:a5f853093d5e1aee08efd74686f92a7c7965060af58c37657576e9f7438366e5","observation_id":"119011c4-8335-42b4-a19b-8e04dfe69481","resolution":{"observed_at":"2026-08-11T22:56:51.976440Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1109/cvpr.2016.185","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.948697Z","title":"Non-localimagedehazing,in:IEEEConferenceonComputerVisionandPatternRecognition,pp","venue":null,"work_id":"4dc784f4-1a0d-4d69-8d20-c40075ed13a1","year":2016},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.202689Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:f4c836658cc725365eacd56b1d1c17332dd9bdecb952225dd39b4cf6c7331ac0","observation_id":"a5895f3d-0bc1-4c93-97d1-d4d1fed7b4c6","resolution":{"observed_at":"2026-08-11T22:56:51.958111Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1007/s11263-011-0421-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.929185Z","title":"Rain or snow detection in image sequences through use of a histogram of orientation of streaks","venue":null,"work_id":"246463c4-6617-40f3-b283-890fc2115208","year":2011},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.211741Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:39d47925ca98daf0b09a264dda65f8410ea6e2b9226e47ef0c22cf17467abd87","observation_id":"594cdd76-a3f0-467e-beb7-d81c1d2778e5","resolution":{"observed_at":"2026-08-11T22:56:51.936181Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1007/978-3-540-89689-0_49","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-13T11:03:48.094449Z","title":null,"venue":"Lecture notes in computer science","work_id":"e388d165-d8b6-4047-9509-7943ba0886da","year":2008},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.222208Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:2274662d936557fb4bc319ffbf909ea2b40c548cd4b89a5c12015af1d9726a89","observation_id":"8c78edbc-98db-4016-8366-1de50b3c4dff","resolution":{"observed_at":"2026-08-11T22:56:51.913003Z","resolver_source":"doi","status":"verified_exact"},"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":"2023.33213","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:54.580005Z","title":"Unsupervisedderaining:Whereasymmetriccontrastivelearning meets self-similarity","venue":null,"work_id":"475a8d2e-0876-43e7-991b-e26665a6e5fd","year":2023},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.230222Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:f291611f45c7606b10d806017395f6487bea019b640b313dd54ed85c55e49c14","observation_id":"81a5a9a9-87ee-4ee3-a34f-e23da71245e0","resolution":{"observed_at":"2026-08-11T22:56:54.590476Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"10.1109/cvpr.2017.726","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.886226Z","title":"On the effectiveness of visible watermarks, in: IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"1ec072e3-d947-4bc7-972b-cbb514c12499","year":2017},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.237563Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:aab3ba025f060abfd83711e7400898d9e9064ec1ab02a91a7ca8bb2d87364f3f","observation_id":"ec8b6266-3587-49c9-8c8a-9d00c36057dd","resolution":{"observed_at":"2026-08-11T22:56:51.893531Z","resolver_source":"doi","status":"verified_exact"},"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":"1803.07422","last_updated":"2018-03-20T13:38:52Z","snapshot_observed_at":"2026-08-14T19:34:23.609443Z","submitted_at":"2018-03-20T13:38:52Z","title":"Patch-Based Image Inpainting with Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.07422","snapshot_observed_at":"2026-08-11T22:56:51.242062Z","title":"Patch-based image inpainting with generative adversarial networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.242062Z"},"links":{"cited_paper":"/paper/1803.07422","citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:1286ef2bc828f724d8565cba01a50ae864f633edc3e04abd469246eb64af8a99","observation_id":"bed9e40f-5ebc-4ac6-b39f-057868ea2ee6","resolution":{"observed_at":"2026-08-11T22:56:51.242062Z","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":"10.1109/iccv.2013.84","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.864456Z","title":"Restoring an image taken through a window covered with dirt or rain, in: IEEE International Conference on Computer Vision, pp","venue":null,"work_id":"5beecd62-775b-40f8-afa6-cc2d8d486090","year":2013},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.248374Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:c6623fe0934b68a6080b7d940697d41afd142ed0ef44fcd8640d9ce6a2f19059","observation_id":"490261d2-dfd1-4940-9329-4f468838882f","resolution":{"observed_at":"2026-08-11T22:56:51.874178Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1109/iccv.2013.164","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.830192Z","title":"Co-segmentation by composition, in: IEEE International Conference on Computer Vision, pp","venue":null,"work_id":"920b36d3-fab7-47ea-8961-611bf38b9149","year":2013},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.253970Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:bdeac869782a303c59363bf3a5da63e95199bac2cd0a6a2936f6f893fe1aefd8","observation_id":"27b84e2f-6c22-491f-bd27-2b74000fb005","resolution":{"observed_at":"2026-08-11T22:56:51.841505Z","resolver_source":"doi","status":"verified_exact"},"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":"2019.01128","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:54.480552Z","title":"Double-DIP","venue":null,"work_id":"aa299388-9a6e-4a04-bd38-c74893e02ca6","year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.258709Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:e49b3f087e4e09a22b1e1860678fbb3cd575cd7673869482d7d20d04959d9180","observation_id":"f77532f9-40e3-4ffc-9124-21a55616624b","resolution":{"observed_at":"2026-08-11T22:56:54.489826Z","resolver_source":"raw_fallback","status":"verified_exact"},"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":"2004.13150","last_updated":"2020-10-06T20:37:33Z","snapshot_observed_at":"2026-08-17T10:02:11.693143Z","submitted_at":"2020-04-27T20:11:50Z","title":"Octa: Omissions and Conflicts in Target-Aspect Sentiment Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.13150","snapshot_observed_at":"2026-08-11T22:56:51.263611Z","title":"Detection and removal of rain from videos, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.263611Z"},"links":{"cited_paper":"/paper/2004.13150","citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:be819ece232e8a6c94079a4e4e4b31216b00a67a9f7d04247504ee077a091f25","observation_id":"5e71113a-59dc-48ed-bec1-4f3c466638a0","resolution":{"observed_at":"2026-08-11T22:56:51.263611Z","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":"10.1109/iccv.2005.253","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.806979Z","title":"When does a camera see rain?, in: Proceedings of the IEEE International Conference on Computer Vision, pp","venue":null,"work_id":"46ccda64-61dc-40ed-bfee-44b058cb78b2","year":2005},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.277230Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:9c7097b028c9a608ae4f132c2337ffdf711882c5e2f73a79d69d671a11f123ae","observation_id":"22916b57-975c-47f5-b9d7-688ffd12d1fc","resolution":{"observed_at":"2026-08-11T22:56:51.813915Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1145/1141911","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.781531Z","title":"Photorealisticrenderingofrainstreaks","venue":null,"work_id":"ae8fda31-db5c-493d-b666-c1a4212eda08","year":2006},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.282251Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:5d19e518b5a604d94b7f62d2900da8d3a83daba72861e2b693e14d837c49b0d3","observation_id":"47ddc04a-d336-4b2d-af45-66040803c173","resolution":{"observed_at":"2026-08-11T22:56:51.791367Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1007/s11263-006-0028-6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.757028Z","title":"Vision and rain","venue":null,"work_id":"42393978-08c5-472c-98da-31e0299c73e7","year":2007},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.288301Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:e1947321a8e7d318e34c2bbd9a7444becd1e57c8a523370d5c0ab3353442444a","observation_id":"8d18517c-367b-438c-8867-f4cdf6bd023b","resolution":{"observed_at":"2026-08-11T22:56:51.762085Z","resolver_source":"doi","status":"verified_exact"},"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":"2019.00534","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:54.367767Z","title":"Learning from synthetic photorealistic raindrop for single image raindrop removal, in: IEEE International Conference on Computer Vision Workshop, pp","venue":null,"work_id":"038a7b16-98eb-493c-8587-3c27bf6a551f","year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.302265Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:183183f28c2f7d6218c2819f627f5c145ae21ac64433a5f0417d0f3dac1b4c2b","observation_id":"2ce246cf-8c03-4e1c-8d8a-02c72b6af785","resolution":{"observed_at":"2026-08-11T22:56:54.375258Z","resolver_source":"raw_fallback","status":"verified_exact"},"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":"10.1016/j.neucom.2022.07.032","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.741822Z","title":"Adherent mist and raindrop removal from a single image using attentive convolutional network","venue":null,"work_id":"9a932646-7cc9-43fb-9ed4-f1242564e152","year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.309690Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:c6f80362f7c3735e235821ecf5c5d8038dd39f0aaf4194c8fe88ff014c1ac3b1","observation_id":"567e348d-5fc1-4818-8676-9627c2e43f3a","resolution":{"observed_at":"2026-08-11T22:56:51.746896Z","resolver_source":"doi","status":"verified_exact"},"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":"2013.67381","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:54.282645Z","title":"Single-image deraining using an adaptive nonlocal means filter, in: IEEE International Conference on Image Processing, pp","venue":null,"work_id":"284da0f5-dc1f-40f0-9110-26b0073db581","year":2013},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.313734Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:ab5fc79cb9941b6e9faa7d3665491bc5d5ff13e55a4b49561444d57216b6f442","observation_id":"05536250-83c1-4b4c-9330-e350c22c3cb6","resolution":{"observed_at":"2026-08-11T22:56:54.289953Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-11T22:56:51.319841Z","title":"All in one bad weather removal using architectural search, in: IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.319841Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:1cb7935d4f04327a9d6914988c479106fc33817ef6318335f40ccf76d4629037","observation_id":"9ff11179-4d65-4e79-8ca3-defb9f178d5b","resolution":{"observed_at":"2026-08-11T22:56:51.319841Z","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":"2019.00399","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:54.055346Z","title":"Feedback network for image super-resolution, in: IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"62da41d3-7ca0-4b10-96ec-9275b55ffb57","year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.327787Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:3cf0aed6ff31721326354c11c219ce89ec6ecff77483883af48c09ae2daed376","observation_id":"7cc12dfb-0644-485a-a86f-5c98ae1761ef","resolution":{"observed_at":"2026-08-11T22:56:54.064385Z","resolver_source":"raw_fallback","status":"verified_exact"},"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":"2026-08-11T22:56:51.332802Z","title":"Weakly supervised learning for raindrop removal on a single image","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.332802Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:37d9c9dc07e0c8496593495cc04d92a18a6223210c7d86c18c72eb89ff2ae8bd","observation_id":"b1fb54bc-621f-40a0-b8e9-287894d404e3","resolution":{"observed_at":"2026-08-11T22:56:51.332802Z","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":"2026-08-11T22:56:51.337525Z","title":"Weakly-supervised action localization with background modeling, in: IEEE International Conference on Computer Vision, pp","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.337525Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:f7264930e1802cb8a0a07fb1f6119f8779749446ea8694d251099fc52bfe2899","observation_id":"e456d96d-03f8-4801-bfa9-7af2dd3f33b9","resolution":{"observed_at":"2026-08-11T22:56:51.337525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.10604","last_updated":"2019-04-24T01:59:27Z","snapshot_observed_at":"2026-08-14T16:42:22.559242Z","submitted_at":"2019-04-24T01:59:27Z","title":"A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.10604","snapshot_observed_at":"2026-08-11T22:56:51.342811Z","title":"Acomparisonstudyofcreditcardfrauddetection:Supervisedversusunsupervised","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.342811Z"},"links":{"cited_paper":"/paper/1904.10604","citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:202d078b732f915df3c3cbd210d47b04711e0d077cf2f141537448bd8c2b3d47","observation_id":"08fb355e-79fd-4e79-9866-6277251b4186","resolution":{"observed_at":"2026-08-11T22:56:51.342811Z","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":"2026-08-11T22:56:51.347386Z","title":"Restoring vision in adverse weather conditions with patch-based denoising diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.347386Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:b1d195b4953d00edea3234980b5be9cb926d146ec58b7605e4f5cfed49420ed2","observation_id":"6b52211f-34e4-4005-96b7-d8ba35cd586d","resolution":{"observed_at":"2026-08-11T22:56:51.347386Z","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":"2018.00263","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:53.523286Z","title":"Attentive generative adversarial network for raindrop removal from a single image, in: IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"b197b6b9-8931-46a6-b877-1799ff55d1f3","year":2018},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.351692Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:6c2e4872c86aed43c00bb8b412934e1275993e194da4940da4230b747db96801","observation_id":"4be1bf58-da51-4e01-ae4a-fc6026a45c59","resolution":{"observed_at":"2026-08-11T22:56:53.540018Z","resolver_source":"raw_fallback","status":"verified_exact"},"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":"2026-08-11T22:56:51.356984Z","title":"Removing raindrops and rain streaks in one go, in: IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.356984Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:68c4f4fa946aca68012b1fca5bc0c01881a694692968fadc0525cadcdeda8e0c","observation_id":"36b39b67-ae93-4904-b700-37dd3d254e17","resolution":{"observed_at":"2026-08-11T22:56:51.356984Z","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":"2019.00255","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:53.308422Z","title":"Deep learning for seeing through window with raindrops, in: IEEE International Conference on Computer Vision, pp","venue":null,"work_id":"33faa906-0f42-494d-850f-b81f9a334d12","year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.361255Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:e5ef0d70cd028b35bac3600bb912dc2ce70df6320b02d66658ba505590fff3a7","observation_id":"18049dcb-86cc-4ddf-a88b-5c68d8191f8d","resolution":{"observed_at":"2026-08-11T22:56:53.319455Z","resolver_source":"raw_fallback","status":"verified_exact"},"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":"2026-08-11T22:56:51.365545Z","title":"Video-basedraindropdetectionforimprovedimageregistration,in:IEEEInternationalConferenceonComputer Vision Workshops, pp","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.365545Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:60bfc32733d054a43f01973de1e341d7c12ac5b2bd79b4117af4aaea43c365ec","observation_id":"ce537b25-58a7-46b5-a224-4b889bc83294","resolution":{"observed_at":"2026-08-11T22:56:51.365545Z","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":"10.1007/978-3-642-22819-3_24","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-13T11:03:48.094449Z","title":"Realistic modeling of water droplets for monocular adherent raindrop recognition using bezier curves, in: Asian Conference on Computer Vision, pp","venue":"Lecture notes in computer science","work_id":"46e282df-e58b-454b-bef8-a921d564666b","year":2010},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.371100Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:905ad3af9856fa17ce312a41d5c6785d5a5d34534c17dc43bb481d23fdf1aaa6","observation_id":"d3a959c5-f40d-443e-bb20-cee8b34a1a14","resolution":{"observed_at":"2026-08-11T22:56:51.725925Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-11T22:56:51.376000Z","title":"Deep networks with internal selective attention through feedback connections, in: Proceedings of the 27th International Conference on Neural Information Processing Systems, p","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.376000Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:4ab6ddd742a8c26ed8796dfccf71f31fd0cb18cb3fd78bffd13540bb4faa6073","observation_id":"48be8e8b-79d1-47df-a8e4-d9cd19609e90","resolution":{"observed_at":"2026-08-11T22:56:51.376000Z","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":"2026-08-11T22:56:51.380691Z","title":"Attention-guided generative adversarial networks for unsupervised image-to-image translation, in: International Joint Conference on Neural Networks, IEEE","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.380691Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:cf6cf79931f1bf80a7dfbdd69510013589795313e2561a613ddc7a7c0234c5f6","observation_id":"d2489ed3-fc1b-47f4-8847-f355dbbea91c","resolution":{"observed_at":"2026-08-11T22:56:51.380691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.02610","last_updated":"2020-06-04T02:07:35Z","snapshot_observed_at":"2026-08-17T16:08:40.338458Z","submitted_at":"2020-06-04T02:07:35Z","title":"Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments","version":1},"cited_work":{"arxiv_id":"2006.02610","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.02610","snapshot_observed_at":"2026-08-11T22:56:53.030633Z","title":"Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments","venue":"cs.CV","work_id":"8c982c54-076d-4b89-a443-a6b40162aa0f","year":2020},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.385631Z"},"links":{"cited_paper":"/paper/2006.02610","citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:cbbaf4f0b9180137a4e49e61ed8426a6bacf4dd619ae05e1bffc0039f7b08193","observation_id":"9ae59cab-e08d-4fcc-bf64-bd61dd1ab65e","resolution":{"observed_at":"2026-08-11T22:56:53.037602Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-11T22:56:51.395874Z","title":"Facial feature embedded cyclegan for vis-nir translation, in: ICASSP 2020 - 2020 IEEEInternationalConferenceonAcoustics,SpeechandSignalProcessing(ICASSP),pp.1903–1907","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.395874Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:40c2fa61cd63b4bab838769bc0a27f31081ae65d62ea60ab2a76220b933cb9db","observation_id":"0f03aad3-91cf-450c-9182-192208a92299","resolution":{"observed_at":"2026-08-11T22:56:51.395874Z","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":"10.1007/s11045-023-00871-1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.693665Z","title":"Facialfeatureembeddedcycleganforvis–nirtranslation","venue":null,"work_id":"955f2f35-6c1f-4da4-8e5b-4643c3741071","year":2023},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.400036Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:bbd21e696660fd7ced847885bb2b9fbcd3f43e7b7caa774cf702ddb2295fd27d","observation_id":"1c19f729-f98b-45db-b8f5-fae4d5774798","resolution":{"observed_at":"2026-08-11T22:56:51.697623Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1007/s11760-021-02007-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.675106Z","title":"Raindropremovalfromasingleimageusingatwo-stepgenerativeadversarialnetwork","venue":null,"work_id":"984a9137-ef45-44e6-85c2-019c11176750","year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.405677Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:9f3cf727e9a58f9c3c4c45d64c3532c9da08669e6d7ee497fcca6e3b00e2e0f7","observation_id":"b0e54ace-6b68-46f2-8fdf-60189ec47996","resolution":{"observed_at":"2026-08-11T22:56:51.681841Z","resolver_source":"doi","status":"verified_exact"},"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":"10.5539/cis.v5n3p49","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.630765Z","title":"An improved guidance image based method to remove rain and snow in a single image","venue":null,"work_id":"dd142369-7d16-404a-983d-fa568c3ddbfc","year":2012},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.412659Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:92bb0d5d875d981e5c6d8550ab8b9adf4964b7b44863542201f6ee87a6da7ae2","observation_id":"91ceff2a-5a4c-480b-bc7b-4cffecd4b1c7","resolution":{"observed_at":"2026-08-11T22:56:51.637194Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-11T22:56:51.417980Z","title":"Iterative contrastive learning for single image raindrop removal, in: 2022 IEEE International Conference on Image Processing (ICIP), pp","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.417980Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:b6b7770c1bc19e19e5ba2b2a36eeb5cf78d8312c6854a59f1bbec413d22e36fe","observation_id":"9ca65f2a-c673-46b7-8a75-910747b9d305","resolution":{"observed_at":"2026-08-11T22:56:51.417980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14574","last_updated":"2022-05-29T05:42:14Z","snapshot_observed_at":"2026-08-16T16:56:55.747129Z","submitted_at":"2022-05-29T05:42:14Z","title":"Feature-Aligned Video Raindrop Removal with Temporal Constraints","version":1},"cited_work":{"arxiv_id":"2205.14574","doi":"10.48550/arxiv.2205.14574","metadata_source":"pith","pith_arxiv_id":"2205.14574","snapshot_observed_at":"2026-08-12T00:16:22.474752Z","title":"Feature-Aligned Video Raindrop Removal with Temporal Constraints","venue":"cs.CV","work_id":"c1d45597-4473-42d0-b26e-f94dd2eccf30","year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.422259Z"},"links":{"cited_paper":"/paper/2205.14574","citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:17c81b9a8f5e065c8f54e7d2dd6534fbf9c650b806b40621a9621ca797828a6b","observation_id":"43a534ac-6ba6-4c27-97ae-7a143cd1fed4","resolution":{"observed_at":"2026-08-11T22:56:51.619153Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-11T22:56:51.430531Z","title":"Raingan: Unsupervised raindrop removal via decomposition and composition, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pp","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.430531Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:10a9fb16deb60e3bbd6e309fe70f1365f6ac7ca9cfb4b738a78e3010ec49af23","observation_id":"22bf1d64-4f4f-49f6-b178-ea703410f8e4","resolution":{"observed_at":"2026-08-11T22:56:51.430531Z","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":"2026-08-11T22:56:51.436694Z","title":"Joint rain detection and removal from a single image with contextualized deep networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.436694Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:82fc37b677cd021d0f3ac15184a860fb75a8fe82cf2dc5e9d78caf4416c2cd33","observation_id":"fe098b72-4c22-4e56-b816-7d53aff05afd","resolution":{"observed_at":"2026-08-11T22:56:51.436694Z","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":"2026-08-11T22:56:51.445041Z","title":"Single image deraining: From model-based to data-driven and beyond","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.445041Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:0003b209cfee3f8cf4b62ca53a0cb8ecc39c7ae8e42b6c509811f7d10b3e5385","observation_id":"eb907298-d553-4e0e-9b8e-8e06080f5f53","resolution":{"observed_at":"2026-08-11T22:56:51.445041Z","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":"2015.24919","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:52.399067Z","title":"Adherent raindrop modeling, detectionand removal in video","venue":null,"work_id":"a7d23553-d24d-49f7-be32-b31f98251c0c","year":2015},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.460673Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:514a507b2f71828ea87e49221c45119efada4ae1a809ae406a303849890a0c24","observation_id":"db478a4c-fc96-4a76-90ca-ccea71ce0bf6","resolution":{"observed_at":"2026-08-11T22:56:52.411287Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2021.31273","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:52.298262Z","title":"Single image deraining with continuous rain density estimation","venue":null,"work_id":"e8fd0740-0aed-4249-980f-151451ac18a0","year":2023},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.465858Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:3919703b79fda41381cfd7d741d5f7a5d03af922518660fcb2a09217caf4cde9","observation_id":"c5081cc3-e1e2-4d7a-8f89-b02443de3386","resolution":{"observed_at":"2026-08-11T22:56:52.306573Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-11T22:56:51.471368Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.471368Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:7019c8604b67093cac3f489f81b01296f5a7242bb639be5233765dfcfe50adc1","observation_id":"edb6e98a-a114-4cd8-b6c8-55689556c95a","resolution":{"observed_at":"2026-08-11T22:56:51.471368Z","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":"10.1109/cvpr.2017.196","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:51.581650Z","title":"Feedback networks, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":"4c6257c2-8b3d-429f-821b-cf718cf52e88","year":2017},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.476737Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:e3cce064817be3bb18c65beab176e04cdc0b30028d907be02e4632b68ad5c4cb","observation_id":"ded55995-e9fe-4c15-b7d8-ded2098e5469","resolution":{"observed_at":"2026-08-11T22:56:51.590793Z","resolver_source":"doi","status":"verified_exact"},"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":"2006.26257","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:56:52.202090Z","title":"Rainremovalinvideobycombiningtemporalandchromaticproperties,in:Proceedings of the IEEE International Conference on Multimedia and Expo, pp","venue":null,"work_id":"be6e9918-3219-40c6-a143-dc431e0fe0b9","year":2006},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.481637Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:768379024447d90529e1b873a3d80f565f78629dbdd42659bf49ccf4e39e097c","observation_id":"1299d424-0bff-42fb-a333-67e59c5666ac","resolution":{"observed_at":"2026-08-11T22:56:52.211206Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-11T22:56:51.492698Z","title":"Unpaired image-to-image translation using cycle-consistent adversarial networks, in: IEEE International Conference on Computer Vision, pp","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.492698Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:2074654662558d54d88ce749607b2e6aad4259c9de0f299ac3600007259c7033","observation_id":"6b904622-52d5-48aa-86bd-03f3563302e4","resolution":{"observed_at":"2026-08-11T22:56:51.492698Z","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":"2026-08-11T22:56:54.603220Z","title":"Laplacianencoder-decodernetworkforraindropremoval","venue":null,"work_id":"69c39f4f-1749-4f6b-9dc4-3cd9fa401bd1","year":2022},"citing_paper":{"arxiv_id":"2412.03019","last_updated":"2024-12-04T04:10:50Z","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T22:56:51.510589Z"},"links":{"citing_paper":"/paper/2412.03019"},"observation_digest":"sha256:bc3d4bc515e434c080f00345aa456b181188895bdf2316cde83e1dbf492ef333","observation_id":"f1e1a926-522f-4a1d-997e-b2c3b10ccd3f","resolution":{"observed_at":"2026-08-11T22:56:54.609190Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2412.03019","last_updated":"2024-12-04T04:10:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T10:14:55.135683Z","submitted_at":"2024-12-04T04:10:50Z","title":"Unsupervised Network for Single Image Raindrop Removal"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":1,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":18,"verified_exact":24,"verified_fuzzy":0},"total_outbound_references":48},"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 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.03019."}