{"as_of":"2026-08-07T12:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:75d0115694140bd6722475a36cd185eeebe63e41fab04c80a0cd3285467332f2","coverage":[{"denominator":86,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":86,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:57:57.815805Z","state":"measured"},{"denominator":86,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":86,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.15524/citation-record","integrity":"/paper/2506.15524/integrity","json":"/paper/2506.15524/citation-record.json","paper":"/paper/2506.15524"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:57:57.573310Z","title":"Kolmogorov-arnold networks in transformer attention for low-light image en- hancement","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.573310Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b4c42d54eae2d45081334016c548c62dfd2f208392b8f1b060d472e78683fd44","observation_id":"de77af84-c88d-4535-a265-6be8fe6af44a","resolution":{"observed_at":"2026-08-06T23:57:57.573310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15204","last_updated":"2025-09-10T12:44:42Z","snapshot_observed_at":"2026-07-06T17:21:10.236126Z","submitted_at":"2024-01-26T21:02:44Z","title":"LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement","version":7},"cited_work":{"arxiv_id":"2401.15204","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.15204","snapshot_observed_at":"2026-08-06T23:57:57.948367Z","title":"LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement","venue":"cs.CV","work_id":"2a76172f-1f13-40d3-906d-b4f7b40f5424","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.576887Z"},"links":{"cited_paper":"/paper/2401.15204","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:e5176462f868d6558bd1a1fee9e19387cb3beba36c220b2dd46e1d424b785bfd","observation_id":"aea50e0d-1d75-4221-879a-d8b3bcdbf95b","resolution":{"observed_at":"2026-08-06T23:57:57.952307Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.580330Z","title":"Enhancing low-light images with kolmogorov–arnold networks in transformer attention","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.580330Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:7b032eb61cfdedd2eb7ffe38e5ed478e174cf923effc9b415bff6453e9df04f1","observation_id":"c6ec1086-efae-4de1-b257-73eeed79282b","resolution":{"observed_at":"2026-08-06T23:57:57.580330Z","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":"2026-08-06T23:57:57.583337Z","title":"Retinexformer: One-stage retinex- based transformer for low-light image enhancement","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.583337Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:7f02fc3cfe2d80eef2df7863c51080f15ec95036a89b33792fc9b354316279f0","observation_id":"07a9d234-c057-413d-8c5e-229c8cd110ec","resolution":{"observed_at":"2026-08-06T23:57:57.583337Z","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":"2026-08-06T23:57:57.586193Z","title":"Transunet: Rethinking the u-net archi- tecture design for medical image segmentation through the lens of transformers.Medical Image Analysis, page 103280,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.586193Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:a04987a444d5f08d5a0891399f37f9641db6585f0b1d06e0e6f1dea600b02114","observation_id":"94bb2766-2adb-4e83-bc2e-4a901c540f53","resolution":{"observed_at":"2026-08-06T23:57:57.586193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.04676","last_updated":"2022-08-01T19:47:35Z","snapshot_observed_at":"2026-08-04T06:37:19.113085Z","submitted_at":"2022-04-10T12:48:38Z","title":"Simple Baselines for Image Restoration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.04676","snapshot_observed_at":"2026-08-06T23:57:57.588913Z","title":"Simple baselines for image restoration.arXiv preprint arXiv:2204.04676, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.588913Z"},"links":{"cited_paper":"/paper/2204.04676","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:021758fd30e4192efaefb0a3be33e94d1160933354f154763753cb34f787bf68","observation_id":"97cf1920-19b1-4847-872b-af751f5b43c1","resolution":{"observed_at":"2026-08-06T23:57:57.588913Z","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":"2026-08-06T23:57:57.592106Z","title":"Frequency-aware feature fusion for dense image prediction.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 46(12):10763–10780, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.592106Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:0646976c8e53c925f90a0fa75f7e94ab473f24678cb5aadfa772066fd51a968a","observation_id":"ecbc3dce-1772-47e6-b112-032675bb8ebf","resolution":{"observed_at":"2026-08-06T23:57:57.592106Z","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":"2026-08-06T23:57:57.595292Z","title":"NTIRE 2025 challenge on image super-resolution (×4): Methods and results","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.595292Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:d8ef0f7170192e67a36ef4bc0ef38359b13a4802808f3f4298fa35531137a8a0","observation_id":"d6120be4-1019-4d5c-a2a2-67d6fa92bb80","resolution":{"observed_at":"2026-08-06T23:57:57.595292Z","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":"2026-08-06T23:57:58.677240Z","title":"NTIRE 2025 challenge on real-world face restoration: Methods and results","venue":null,"work_id":"fc9c3197-2ded-43e0-bef5-3e89e854dfee","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.597915Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:5f9b983e5d064c3db2dbba7f4691ede4d21e43c0c56c00db259e7974ddef9af8","observation_id":"efe8bbd0-29d2-4516-9a0f-f53e0f013124","resolution":{"observed_at":"2026-08-06T23:57:58.680281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.668216Z","title":"NTIRE 2025 challenge on raw image restoration and super-resolution","venue":null,"work_id":"1ce2bea4-97f5-4a96-844c-01fb4391fe75","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.600498Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:769b588fdb39a9b5626be9254f364267cd2b36753b171958c6aaee7249f72a24","observation_id":"f4f348af-1708-4c6d-8f91-d37f920a4cca","resolution":{"observed_at":"2026-08-06T23:57:58.671353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.658778Z","title":"Raw image reconstruc- tion from RGB on smartphones","venue":null,"work_id":"fb46344c-4b8c-4720-adf9-c30ec2ddde6f","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.603694Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b6d7384469e78d44c0bc1ab8d491048673cace162b188cc3ece55a8850c66ca3","observation_id":"26b05cd7-4470-4cfa-9f2f-6a9717bae7f0","resolution":{"observed_at":"2026-08-06T23:57:58.662256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.649629Z","title":"Diffusion schr¨odinger bridge with applications to score-based generative modeling.Advances in Neural In- formation Processing Systems, 34:17695–17709, 2021","venue":null,"work_id":"897e87f9-eda2-41fa-bc70-f8700badc33a","year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.606461Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:1f50c4e89cd0d6ed6ab2714c36eb32b14b207d770cf68205d608908a9c0ec1bb","observation_id":"8ff901c2-2cec-4f24-827e-8e5719054f11","resolution":{"observed_at":"2026-08-06T23:57:58.652794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.609384Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.609384Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:303468db94834b7b95a3531aec7feb286514f124307894405afecd0f001cfd8d","observation_id":"cdc3ef20-5dcb-46c1-999e-463560ef4572","resolution":{"observed_at":"2026-08-06T23:57:57.609384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00976","last_updated":"2020-07-02T09:22:23Z","snapshot_observed_at":"2026-07-06T09:34:43.244912Z","submitted_at":"2020-07-02T09:22:23Z","title":"Optimal Transport losses and Sinkhorn algorithm with general convex regularization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.00976","snapshot_observed_at":"2026-08-06T23:57:57.612044Z","title":"Optimal transport losses and sinkhorn algorithm with general convex regular- ization.arXiv preprint arXiv:2007.00976, 2020","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.612044Z"},"links":{"cited_paper":"/paper/2007.00976","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:831e659fb03b43627e5c6093d477eb735794e911bb52b6920f2bb25e1f9a0b14","observation_id":"694b3c7c-6f5d-482d-8004-a875d5c9d834","resolution":{"observed_at":"2026-08-06T23:57:57.612044Z","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":"2026-08-06T23:57:58.634738Z","title":"Argan: Attentive recurrent generative adversarial network for shadow detection and removal","venue":null,"work_id":"39ace66c-8e32-4e08-8e96-8bbc9855bfd3","year":2019},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.615469Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:fef1d5f237f9ee84ae5d63602b4c93820afed6992918cfb1a089d52c0525e5ee","observation_id":"cbd5be75-94de-48b9-9b21-ae9613af94f5","resolution":{"observed_at":"2026-08-06T23:57:58.637751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.626291Z","title":"ShadowRefiner: Towards mask-free shadow removal via fast fourier transformer","venue":null,"work_id":"eafc2756-4c6c-4d61-8695-5f46b9b57e7a","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.618309Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:ea6260e96e1aacd2f5922b56fd04a2303472c88e2c7fb7c5833445c6a49c2ca3","observation_id":"41b59160-5e49-42ae-851f-b6185c36fd3f","resolution":{"observed_at":"2026-08-06T23:57:58.629242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.617229Z","title":null,"venue":null,"work_id":"9078925f-8d3a-4993-b114-5040a605ded4","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.621445Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:04b7d5fed086fadb889b407e742d6144e8dd2e178ec10b685529a7739630dcfa","observation_id":"dc90ac3c-02d4-439f-8a71-1bd1b32f6c55","resolution":{"observed_at":"2026-08-06T23:57:58.620475Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.608161Z","title":"NTIRE 2025 challenge on night photography rendering","venue":null,"work_id":"ec099d36-7a20-4368-8d29-c202c69de841","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.624200Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:ab2000cedc1b328f3a190af6e9209888143e107f1c8680722f351eaa1857b510","observation_id":"f653ad13-ec48-45ba-a2b5-06dcaf6c5f9b","resolution":{"observed_at":"2026-08-06T23:57:58.611429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.599253Z","title":"Entropy minimization for shadow removal.International Journal of Computer Vision, 85(1):35–57, 2009","venue":null,"work_id":"e18d7a2e-de0f-44a1-878a-8dd70a782664","year":2009},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.627248Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:2045bc8f62c7777806dd267fbd0175bdd2a326d456a8b8c5923849043e214727","observation_id":"71e26e42-84eb-4394-995d-aa78e411c3c8","resolution":{"observed_at":"2026-08-06T23:57:58.602182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.590643Z","title":"Removing shadows from images","venue":null,"work_id":"1a7d123e-a456-4417-b8f8-84e0b3692ee3","year":2002},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.630168Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b885d5c57a49334487f533aaa12aad94b7317c087e4784f33401e0aa4101164d","observation_id":"9317266d-3801-4fd6-8d1a-1fd2fe3721af","resolution":{"observed_at":"2026-08-06T23:57:58.593726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.581181Z","title":"Dw-gan: A discrete wavelet transform gan for nonho- mogeneous dehazing","venue":null,"work_id":"b3a80e61-e029-4975-9375-edb1b4e29fbd","year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.633039Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:bb8936b186aea3df0306612bae3006af25c303e3c54b29f11111ca35262d203c","observation_id":"2b1b86f6-0a9c-4d32-9af0-a44dff0f2add","resolution":{"observed_at":"2026-08-06T23:57:58.584596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.572132Z","title":"NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results","venue":null,"work_id":"a0050fae-9bdb-473e-9b91-766feaa78e7a","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.635736Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:f92f4c0961f88fc38c39559e8b6225408cd4f9991f16915138dac018baed6347","observation_id":"46dffca1-5a53-4a9e-9b2f-22402b7ee031","resolution":{"observed_at":"2026-08-06T23:57:58.575092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.562577Z","title":null,"venue":null,"work_id":"ed09dc56-2926-4ea7-a066-8d3454a1959a","year":null},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.638328Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:40feaa912fa9708d54b7b25e0fb353b14b257195526a143818eca3bdeee15d09","observation_id":"0f00f95d-67e4-4833-97b0-2c01bac6e5be","resolution":{"observed_at":"2026-08-06T23:57:58.565747Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01650","last_updated":"2023-02-03T10:54:52Z","snapshot_observed_at":"2026-08-06T00:08:48.461019Z","submitted_at":"2023-02-03T10:54:52Z","title":"ShadowFormer: Global Context Helps Image Shadow Removal","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01650","snapshot_observed_at":"2026-08-06T23:57:57.641155Z","title":"Shadowformer: Global context helps image shadow removal.arXiv preprint arXiv:2302.01650, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.641155Z"},"links":{"cited_paper":"/paper/2302.01650","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:21dd761bce0d23dcf4bf2692bb46a2a0682926a5a54913396c10414a6c78d863","observation_id":"1f7abff1-50c1-4724-ad98-8e3d45b9ec03","resolution":{"observed_at":"2026-08-06T23:57:57.641155Z","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":"2026-08-06T23:57:58.553505Z","title":"Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal","venue":null,"work_id":"c34e52c6-6fec-4b72-9edd-0e05c21a4b19","year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.644350Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:395e24796b617d8a348ff9338a51bc1d5071ab94c8be4671795d0547c5cc2808","observation_id":"c633bb82-8384-46df-82c0-eed524498fbf","resolution":{"observed_at":"2026-08-06T23:57:58.556672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.544754Z","title":"NTIRE 2025 challenge on text to image generation model quality assess- ment","venue":null,"work_id":"bd6d27f2-b59b-41a4-bd08-b39cc66e93e1","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.646835Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:ccf474d1924e181339a22575416c87596d177a152a82d76615dd625b72d72969","observation_id":"300af6b2-d4ee-40c2-80a6-ea33978f5d17","resolution":{"observed_at":"2026-08-06T23:57:58.547734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.535840Z","title":"Masked autoencoders are scalable vision learners, 2021","venue":null,"work_id":"00aa4049-72ea-44d1-b09e-e1c558c7069a","year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.649555Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:3308ec27ee585d466f31dd0436049ae98e7ab553b353bd991ebbee30e473b755","observation_id":"293f6dc2-e5b4-47a1-8786-5224a9a0aff3","resolution":{"observed_at":"2026-08-06T23:57:58.538603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.652693Z","title":"Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.652693Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:40f3b2eb0e2ac766e1387f0d73e84234f3487fb02cb4750d733696fa8f752d00","observation_id":"c7f1e237-9b43-40e0-ac38-4297cecdaedf","resolution":{"observed_at":"2026-08-06T23:57:57.652693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02545","last_updated":"2025-03-28T13:23:12Z","snapshot_observed_at":"2026-07-06T20:01:01.384985Z","submitted_at":"2024-12-03T16:37:23Z","title":"ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer","version":3},"cited_work":{"arxiv_id":"2412.02545","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.02545","snapshot_observed_at":"2026-08-06T23:57:57.907841Z","title":"ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer","venue":"cs.CV","work_id":"2532fd77-fc24-4f9c-8018-785865794ac3","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.655637Z"},"links":{"cited_paper":"/paper/2412.02545","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:7ee9e437084b63bda6432f757f3cd6422f041f84811f2b2cd54b5bdcbf00439a","observation_id":"478b3e20-4a32-4c60-96ad-4b941dc1db9d","resolution":{"observed_at":"2026-08-06T23:57:57.911058Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.520571Z","title":"Mask-ShadowGAN: Learning to remove shadows from unpaired data","venue":null,"work_id":"ea651ebf-a0a2-45fb-8613-09930523a2f3","year":2019},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.659239Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:5fd06dcc2164b9a6b7cb6d6de5abe111adb6df91d5b906066635fe667f1b9c49","observation_id":"f5e0527d-9062-4fa8-85ec-1d5206fdaeed","resolution":{"observed_at":"2026-08-06T23:57:58.523983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.662362Z","title":"Image-to-image translation with conditional adver- sarial networks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.662362Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:9f36c2a21c7651ceaab2f99e6cec1d945c232f2729b53a297642751dbe07f2bc","observation_id":"11220d01-3189-40ac-bce9-371eff9c03c4","resolution":{"observed_at":"2026-08-06T23:57:57.662362Z","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":"2026-08-06T23:57:58.505044Z","title":"NTIRE 2025 challenge on video quality enhancement for video con- ferencing: Datasets, methods and results","venue":null,"work_id":"1cccf10c-4bc4-422d-8d6d-5af82342c4c0","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.665271Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:485878ac32b8d126a3e1d110399c137fa2900a5fe1daaee3a5c209311836c292","observation_id":"b29f44be-4d9a-4b69-a311-65139ecd0883","resolution":{"observed_at":"2026-08-06T23:57:58.508115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.495713Z","title":"Dc- shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network","venue":null,"work_id":"6e507041-498f-4a6a-91bc-7293a691127b","year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.668052Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:7617b1fbf9713a4d456f13550dc16235ad6786b5c91b355bc29c8fefa979e907","observation_id":"2b4e3705-a597-41c7-a9c9-188f72368305","resolution":{"observed_at":"2026-08-06T23:57:58.498726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.486929Z","title":"Des3: Adaptive attention-driven self and soft shadow removal using vit similarity","venue":null,"work_id":"2c62afc6-1699-47e1-8b20-94a5c623d5a2","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.670841Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:df8a05aa92128c8011bda97996957be4bcd37712ffa90f2d0c2ee5401165b2cd","observation_id":"58e9432d-5a35-4454-8ace-59bfd7306913","resolution":{"observed_at":"2026-08-06T23:57:58.489776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.478700Z","title":null,"venue":null,"work_id":"26fe8bb3-c8c1-4059-96f7-270fd2d22a7b","year":2017},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.674258Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:6283971b7ac78dceb8ba5857b4dfd7efba6412594e77842307fc8c7a4f991869","observation_id":"4a25d382-7b78-474f-9f18-5d1e01459d73","resolution":{"observed_at":"2026-08-06T23:57:58.481276Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.469075Z","title":"The retinex theory of color vision.Scientific american, 237(6):108–129, 1977","venue":null,"work_id":"f00dd7e3-394f-41a3-9feb-1bf2c94c0dcd","year":1977},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.677055Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:e85268a8a07d4500963167d40524d92d00b1d6bf5e687b5bc3f2a900c729e17c","observation_id":"76851946-79fb-4a74-a3e2-0d4f53f4d4fa","resolution":{"observed_at":"2026-08-06T23:57:58.472407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.458924Z","title":"Shadow removal via shadow image decomposition","venue":null,"work_id":"bb1b9c0d-c47f-45de-b3c3-d0263c92cf54","year":2019},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.679993Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:1102f61973daa486a675c024365d3e310ab33be477f8d08bc45f84a6d68304eb","observation_id":"6c857422-b3b2-4ffb-bd44-f56377a074f1","resolution":{"observed_at":"2026-08-06T23:57:58.462083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.449300Z","title":"From shadow segmentation to shadow removal","venue":null,"work_id":"4ab55061-f3c3-4f9c-8019-5299b14a43f7","year":2020},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.683039Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:902d4ab4976ef6891a9013dfce334c6d2e5e56462e0abc306869938e6460d38b","observation_id":"9620b5f6-35de-428f-ab6f-d88ab9bc0187","resolution":{"observed_at":"2026-08-06T23:57:58.452621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.439138Z","title":"Physics-based shadow im- age decomposition for shadow removal.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):9088– 9101, 2021","venue":null,"work_id":"ca67419c-26df-4749-b5fa-a72edcb9064f","year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.685828Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b8dea9d54c7697cf2f4dc9b022ad968ba8af0d5cdbe39541add96f0ec3e00340","observation_id":"7ff5d7c1-2212-4c72-8089-e5245736266a","resolution":{"observed_at":"2026-08-06T23:57:58.442714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.429200Z","title":"NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results","venue":null,"work_id":"abbfce4b-c863-41e5-be33-3e5e6e224614","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.688831Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:923dbee6e0abda2b679dec7676ba81fe43b1c46c472fc10e5f1c2663a70c4e60","observation_id":"2bcd771f-a8ec-42b1-85c7-ca6c55620886","resolution":{"observed_at":"2026-08-06T23:57:58.432598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.418244Z","title":"NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results","venue":null,"work_id":"9d2294ff-ed0b-4737-9436-d369a38e619f","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.691668Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:1a92b843e866e1a91636aa0aecae60b71d0956191665958169e2ddd72e3b2e00","observation_id":"4e8a2dd9-a673-4164-9c62-5a2b7fb66f27","resolution":{"observed_at":"2026-08-06T23:57:58.421660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.694526Z","title":"NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.694526Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:beb74070ecd6b855cd6d54c6e6f926161ca36e8a34643536b503292bdac40bdc","observation_id":"1247480f-8f53-462d-930e-a4813ac259a0","resolution":{"observed_at":"2026-08-06T23:57:57.694526Z","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":"2026-08-06T23:57:58.401080Z","title":"NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results","venue":null,"work_id":"ddf5dca5-a385-412c-9baf-9cb87e1c5aa7","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.697499Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:ce6e891217e4bc92ec39da9b41a46feb6f4c182417c4b70005c5bda8b24efea5","observation_id":"01b01e24-5be3-4e51-a334-98e8dd25ffcf","resolution":{"observed_at":"2026-08-06T23:57:58.404600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.391550Z","title":"NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge","venue":null,"work_id":"9d7ecf45-5890-4554-8253-b3aec3d16d23","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.700041Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:fce676b39dbe9c42d21f2fbcabf41bb64d3be2968595e3b22aaaf01803c946ef","observation_id":"4977e55b-e164-486d-86ac-05892593fe3a","resolution":{"observed_at":"2026-08-06T23:57:58.394646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.381706Z","title":"NTIRE 2025 XGC quality assessment chal- lenge: Methods and results","venue":null,"work_id":"b299291a-a858-40d2-88eb-03940de790b5","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.702600Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:9403ae6ce544c06fc8e7ac7cfb96d612b109cfaa5c5c727f42e8bbf1b1785506","observation_id":"d3729303-bef8-43c8-8e4d-d74dbb3c7123","resolution":{"observed_at":"2026-08-06T23:57:58.385111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.372035Z","title":"NTIRE 2024 challenge on low light im- age enhancement: Methods and results","venue":null,"work_id":"d66ff507-4716-47ee-b00a-97e7d0dc3131","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.705397Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:0645f9a9484777ed2a4194e6b9140a4f1073fe8054b1fb03f0c157017454ada8","observation_id":"6ad88110-48d7-45c7-9b94-8041ebb63ae0","resolution":{"observed_at":"2026-08-06T23:57:58.375506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.362576Z","title":"NTIRE 2025 challenge on low light image enhancement: Methods and results","venue":null,"work_id":"85149227-7937-4dd7-a8b5-6bde733b0655","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.708250Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:81f5933ac01d7e9d771845279b429ba9ae90800340f4a34bd68cb9c18c19e34a","observation_id":"22e6bfc8-42be-4760-8651-be450a0dbb66","resolution":{"observed_at":"2026-08-06T23:57:58.365697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.710957Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.710957Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:fe8be36d90beb96d16fce7863f64e0fe3155d4291d12f6fdf340bd4c10917be7","observation_id":"bfaced45-c6a5-4fcf-aaaf-41ab3efa6e33","resolution":{"observed_at":"2026-08-06T23:57:57.710957Z","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":"2026-08-06T23:57:58.348233Z","title":"A convnet for the 2020s","venue":null,"work_id":"cb660bda-5fa2-45cd-91a6-f2d762bbdaef","year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.713770Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:dca3c19f9a839901505b781eb00755833b9a55ecd3034db71027a57666d32d95","observation_id":"4a88e110-b494-499b-a9ee-19e33b4d7edd","resolution":{"observed_at":"2026-08-06T23:57:58.350956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.339878Z","title":"Codalab competitions: An open source platform to organize scientific challenges.Technical report, 2022","venue":null,"work_id":"9efbb0d5-fda5-4ee9-907d-3af0540eb472","year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.716341Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:8275720919084c5345a22c21c14a0bb2ec6ee4967cc21025e7e33fcfcc729123","observation_id":"5290fe33-2648-4f6e-a429-64c39c6f89fd","resolution":{"observed_at":"2026-08-06T23:57:58.342754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.330757Z","title":"Film: Visual reasoning with a general conditioning layer","venue":null,"work_id":"42d0fb0c-480b-4635-b921-8e3b88fa7871","year":2018},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.719511Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:c8b1298addb57c422fd2edc0c45e8805efdc03921aa0c28bd7e261126d4a84f6","observation_id":"e1600391-fcfa-413c-8178-764fe16a305d","resolution":{"observed_at":"2026-08-06T23:57:58.333879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.322565Z","title":null,"venue":null,"work_id":"a7a76156-40e9-4fa0-a406-1793b456e44c","year":2017},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.722421Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:afce1971dceddf7636e8a2d44f4f7b951b925bba8b823ce3c9e434c3c1455811","observation_id":"7825cd6a-3d8e-4b10-a065-7985d6f7a1a3","resolution":{"observed_at":"2026-08-06T23:57:58.325273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-06T23:57:57.725134Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.725134Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:d959936bed37ffe2f9a56dd444f557600e2c7617155a9eee48738dd7795139dc","observation_id":"dbdf9c3d-1490-44f2-90d3-70ab0ac58a26","resolution":{"observed_at":"2026-08-06T23:57:57.725134Z","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":"2026-08-06T23:57:58.314214Z","title":"The tenth NTIRE 2025 efficient super- resolution challenge report","venue":null,"work_id":"7d758748-1834-4f53-a37f-980431bed308","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.728198Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:3dbe15dce220ca15649b75206b2dc370375c5f9c93a4d8b37c2c75f81000af9c","observation_id":"90ec8df5-676d-4be5-aa29-2b38f230d547","resolution":{"observed_at":"2026-08-06T23:57:58.317080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.305625Z","title":"U- net: Convolutional networks for biomedical image segmen- tation","venue":null,"work_id":"88b9d344-7ad0-41c4-9713-85633f16d8d6","year":2015},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.730810Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:dde14d49214c5b70060ca9e99ed6d3f61513a65929bf01b0d63b49fbc135f9ec","observation_id":"42b4f7ec-d144-4cf2-982f-a310739b1422","resolution":{"observed_at":"2026-08-06T23:57:58.308441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.297220Z","title":"NTIRE 2025 challenge on UGC video enhancement: Meth- ods and results","venue":null,"work_id":"003b06d8-7c4e-40e3-829f-71fba2b95b20","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.733406Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:7d56071c92467aa21f5eaac2b7af3db80b8c4398d5ad99795ea46cf737970c0c","observation_id":"33200981-7511-4315-8fa6-d65722c1ecd6","resolution":{"observed_at":"2026-08-06T23:57:58.300132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.183066Z","title":"The shadow meets the mask: Pyramid-based shadow removal.Computer Graphics Forum, 27(2):577–586, Apr","venue":null,"work_id":"1e2d9701-2d8e-4d15-bb14-f5998b3e4c41","year":2008},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.736042Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:51558876cb38ca7ffbacf91ac3901edd980335278b537ddd09abe02fc3164be6","observation_id":"34eed530-f77c-4d3f-98e1-802042c1b0ca","resolution":{"observed_at":"2026-08-06T23:57:58.185988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.173816Z","title":"NTIRE 2025 challenge on event-based image deblurring: Methods and results","venue":null,"work_id":"8a9fe2da-d1c4-43b2-a060-00a5be7f7a18","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.738658Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:32dcd25ae5292bec2049f96afebfb900bb84a89c4c0e40a9ed2d891104c38dbb","observation_id":"a12d617e-7f60-4182-9dda-05e080ba5f37","resolution":{"observed_at":"2026-08-06T23:57:58.176953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.164273Z","title":"The tenth ntire 2025 image denoising challenge report","venue":null,"work_id":"280b564e-7e58-4b41-91e3-d2bbd56c6abc","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.741686Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:c3e52e46764a1685b420618bdc5776384c0ec9ade361f9e36bca058a6176b2c7","observation_id":"565ce777-0f6e-4673-9eae-c71248344ef7","resolution":{"observed_at":"2026-08-06T23:57:58.167585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.155373Z","title":"Restoring images in adverse weather condi- tions via histogram transformer","venue":null,"work_id":"a427646f-7aa3-41d3-b2e3-772938639525","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.744353Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:86dcded2774171268d3da533ac7ecff33e9ff11eadecc2d8c2b680b2055df637","observation_id":"61f07310-56bd-473b-aabb-156c3502ac1a","resolution":{"observed_at":"2026-08-06T23:57:58.158354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.146734Z","title":"Shadow removal with paired and un- paired learning","venue":null,"work_id":"2d5ad397-5b68-46db-b650-bbee7c767668","year":2021},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.747141Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:51c6d55e9771f81c82a80e56b4422b3484887f908b7c715fb06746da8ca5e883","observation_id":"3e06298a-630d-44ff-97a5-02b78ba3340d","resolution":{"observed_at":"2026-08-06T23:57:58.149638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.137133Z","title":"Wsrd: A novel benchmark for high resolution image shadow removal","venue":null,"work_id":"89bbf3bc-7978-4dbc-a3b5-3d63b0d45524","year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.750068Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:7832c1f161c61dfa4a58e4adbb93e354f08b4cacb307d5183316e5efda6f1147","observation_id":"0a873ff0-ae6e-4dd2-b9b9-73447522a9e4","resolution":{"observed_at":"2026-08-06T23:57:58.140930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.126629Z","title":"Ntire 2023 im- age shadow removal challenge report","venue":null,"work_id":"5995ff50-3c5d-4923-993f-93386dda5ce5","year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.752748Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:ed3bae809a76ddc0daad011cd50f7f05f22bf52cb847614f30aa7b255ab6883a","observation_id":"02e8d750-5336-4a19-ac03-ab4b53891d44","resolution":{"observed_at":"2026-08-06T23:57:58.130799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18730","last_updated":"2024-03-27T16:20:55Z","snapshot_observed_at":"2026-08-06T21:12:32.868019Z","submitted_at":"2024-03-27T16:20:55Z","title":"Towards Image Ambient Lighting Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18730","snapshot_observed_at":"2026-08-06T23:57:57.755430Z","title":"Towards image ambient lighting normalization.arXiv preprint arXiv:2403.18730,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.755430Z"},"links":{"cited_paper":"/paper/2403.18730","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:4ec17b1fc53aa24923770fec03ac4a882939ff803cd915bb3608df58c617fbe7","observation_id":"4dbbbd63-7160-4a41-9a2e-3aad6f7488d8","resolution":{"observed_at":"2026-08-06T23:57:57.755430Z","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":"2026-08-06T23:57:58.117230Z","title":null,"venue":null,"work_id":"1064c9b1-aeee-4c16-b274-9d863be90019","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.758589Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:1140110357954ed8d63f7d3443925db4ee4d6e0320c5ff61aa4e5ebdbbae4c26","observation_id":"7d3aa891-6702-4ab3-97fc-7be2f5a062c5","resolution":{"observed_at":"2026-08-06T23:57:58.120120Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.107824Z","title":"NTIRE 2025 ambi- ent lighting normalization challenge","venue":null,"work_id":"acca47f0-40a9-476d-aeb7-9ca8efe20c4d","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.761354Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:08418ef20d72edcced7aa5a7590dfc9fed8ee203e4ab0517529d90265cbed1dc","observation_id":"9d3ea23d-7d7c-4ac0-b9fd-1c3d4cfe4883","resolution":{"observed_at":"2026-08-06T23:57:58.110782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.099270Z","title":null,"venue":null,"work_id":"ffea60a2-b7c2-4f1f-a2ce-1d8751027b56","year":2018},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.764380Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:88a9b18400729563b65a82a366ecd73acea0b01f6dfbc040055948ada1d3e652","observation_id":"9f7f0d9e-9b7f-484e-a24e-e6b522526b35","resolution":{"observed_at":"2026-08-06T23:57:58.101976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.090517Z","title":"Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal","venue":null,"work_id":"d4276d00-208a-4da0-bd43-a37d55c898c8","year":2018},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.767072Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:10c2832bb9f9d620a5cb3ecf8a965b9e152ac96eb240be4389fe4b9e9543134a","observation_id":"5bbbca06-8811-494e-8ff4-8e2536c0a7e6","resolution":{"observed_at":"2026-08-06T23:57:58.093416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.081534Z","title":"NTIRE 2025 challenge on light field image super-resolution: Methods and results","venue":null,"work_id":"920da937-9f49-483e-977d-1f0db64003e3","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.769576Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:20b6a0739fbc9bd554667acadeff5845d2db74aea1dd23be66686ffba27a49b6","observation_id":"c4e3de68-2309-414c-baec-bf3764fa3008","resolution":{"observed_at":"2026-08-06T23:57:58.084470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.772501Z","title":"Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.772501Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:3816e9366f974bd22fa65e9a691c8114446dd20a48df764a8b8d2ed0d583d03b","observation_id":"cfeee3f1-e757-4f99-af91-7b62d3a021cb","resolution":{"observed_at":"2026-08-06T23:57:57.772501Z","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":"2026-08-06T23:57:58.065939Z","title":"Brown, and Heung-Yeung Shum","venue":null,"work_id":"21ca9596-f8ed-46a9-b6d3-10073445e1f9","year":2007},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.775133Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:a938ff570f516843304dfdbc0476a087a97f36ff85e3a414b447d142d1d9bb84","observation_id":"f1fac4d9-45f5-4c74-af31-5b26bb4a1fd1","resolution":{"observed_at":"2026-08-06T23:57:58.069388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01719","last_updated":"2025-02-10T19:14:36Z","snapshot_observed_at":"2026-07-06T19:26:22.646942Z","submitted_at":"2024-10-02T16:30:10Z","title":"OmniSR: Shadow Removal under Direct and Indirect Lighting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01719","snapshot_observed_at":"2026-08-06T23:57:57.777724Z","title":"Omnisr: Shadow re- moval under direct and indirect lighting.arXiv preprint arXiv:2410.01719, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.777724Z"},"links":{"cited_paper":"/paper/2410.01719","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:57b71f669ade1bfc84fc60f585437159e006e273af41b9c70119b2a8108bbf49","observation_id":"90a52f7a-baff-4f5b-90de-50cc2849fa53","resolution":{"observed_at":"2026-08-06T23:57:57.777724Z","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":"2026-08-06T23:57:58.056638Z","title":"NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results","venue":null,"work_id":"2e2f6405-94ac-4ec4-904b-950411b17e0a","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.780444Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:d9af014dfbf547beb8fdf1c74918fe489057fb7fba8cf4b495cd8a45d9e5842c","observation_id":"1fa7d870-a86e-4e5e-b21a-c34db90269bb","resolution":{"observed_at":"2026-08-06T23:57:58.059822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.048109Z","title":"Towards efficient and scale-robust ultra- high-definition image demoir ´eing","venue":null,"work_id":"e2d18f8c-d6f1-4cf8-b8f1-b658518b865c","year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.783004Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:3f278ca9fe65fa5d08cbcfabfe628afc64c0e5922e549cc810c9bf48960ca597","observation_id":"eea48fce-7f35-4000-b5a2-aed3a0959e28","resolution":{"observed_at":"2026-08-06T23:57:58.050987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.039244Z","title":"NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces","venue":null,"work_id":"365c82f8-e5f4-430d-8762-69cc06332194","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.785655Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b47f6bc1ff2ee9dc07d8165ce97f59bab5464abf700ea311d665c20f77450563","observation_id":"366e42a0-724e-460c-92f1-10330546d8bd","resolution":{"observed_at":"2026-08-06T23:57:58.042159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.030636Z","title":"Restormer: Efficient transformer for high-resolution image restoration","venue":null,"work_id":"b3126928-925d-4908-84b7-77b4ff24020c","year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.788087Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:2dc388d00ed0db04ed414bc6d45f3c05896a749a04840ef1c0920c273260856b","observation_id":"692f3efc-831d-4b5a-8249-1c576257d382","resolution":{"observed_at":"2026-08-06T23:57:58.033524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:58.021549Z","title":"Rgb ↔x: Image decomposition and syn- thesis using material- and lighting-aware diffusion mod- els","venue":null,"work_id":"eadbed23-8223-492d-a057-41ceac9150f2","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.790654Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b08ced9d7cf1b7a4fe1b5483e4e8dc222540e4812e5f5701b0764bae604c9ed7","observation_id":"b792882d-35b4-4529-9480-e72226375416","resolution":{"observed_at":"2026-08-06T23:57:58.024871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.793287Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.793287Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:b99b49e8584c4035ece4d1d4b66e0ff1e072b29f67c48144f4e4830674029e05","observation_id":"47a5f10a-950b-4a45-8f08-299a1c06268a","resolution":{"observed_at":"2026-08-06T23:57:57.793287Z","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":"2026-08-06T23:57:58.005881Z","title":"Spa- former: Transformer image shadow detection and removal via spatial attention.arXiv e-prints, pages arXiv–2206, 2022","venue":null,"work_id":"20846fd1-1658-49c5-8100-2df688ad3c1d","year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.795894Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:742b8ec551f525431f13cb3b0bae641984527759b00975f4d5f2f288c6e89081","observation_id":"b49753a0-2ae0-41b6-acf0-d4c4e329cc84","resolution":{"observed_at":"2026-08-06T23:57:58.008970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.00219","last_updated":"2025-03-31T20:44:39Z","snapshot_observed_at":"2026-07-06T21:01:59.107101Z","submitted_at":"2025-03-31T20:44:39Z","title":"LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors","version":1},"cited_work":{"arxiv_id":"2504.00219","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.00219","snapshot_observed_at":"2026-08-06T23:57:57.864793Z","title":"LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors","venue":"cs.CV","work_id":"02fb3a5f-beb9-47e2-bc07-ce209e72a01c","year":2025},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.798371Z"},"links":{"cited_paper":"/paper/2504.00219","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:8f3ef552f6341dd342fd971d665f1f3d3c0ad482bbb79a0b86abc44f9fe3d0e1","observation_id":"e9b154b6-0c5d-4458-beac-bb2bf0853157","resolution":{"observed_at":"2026-08-06T23:57:57.868476Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.996244Z","title":"Glare: Low light image enhancement via generative latent feature based codebook retrieval","venue":null,"work_id":"7be50c3f-f1f8-472e-b008-47c4cbe3d17a","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.801156Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:9266c15402ae7ce4fbe6c90c3ca068749a0addf12cd06f3e3c394bf4eea7ac5d","observation_id":"76e06a23-8f0d-49ec-8118-32543dc427fd","resolution":{"observed_at":"2026-08-06T23:57:57.999699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20916","last_updated":"2024-12-30T12:51:52Z","snapshot_observed_at":"2026-07-06T20:14:40.579474Z","submitted_at":"2024-12-30T12:51:52Z","title":"Low-Light Image Enhancement via Generative Perceptual Priors","version":1},"cited_work":{"arxiv_id":"2412.20916","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.20916","snapshot_observed_at":"2026-08-06T23:57:57.847675Z","title":"Low-Light Image Enhancement via Generative Perceptual Priors","venue":"cs.CV","work_id":"575dc66b-17c5-477d-8f33-015037c34935","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.803731Z"},"links":{"cited_paper":"/paper/2412.20916","citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:59edca2587ee0353ff7357630c94ee7f1730c44a1e119f7992ae57799bbfdceb","observation_id":"5ac009eb-fa5e-414f-bb97-858080a1125a","resolution":{"observed_at":"2026-08-06T23:57:57.853519Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.987491Z","title":"Breaking through the haze: An advanced non-homogeneous dehazing method based on fast fourier convolution and convnext","venue":null,"work_id":"c7093977-835a-48f7-9971-097822b08990","year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.806800Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:2814c806d183ec9099cd14e20122091d6b565a0353541eab82c8afc817df5ac3","observation_id":"e01907a9-40d1-40bb-a898-e1238766bb79","resolution":{"observed_at":"2026-08-06T23:57:57.990402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.978357Z","title":"Srformer: Permuted self-attention for single image super-resolution","venue":null,"work_id":"1bbf0dd8-c48d-46a5-bb53-993543a441f1","year":2023},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.809576Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:f565d40010a1f9093295f1f1cc7d68e16a2aa7abd8186180ed303c48660a31ec","observation_id":"0588cb76-b900-499b-a4b3-135bbebc9d5f","resolution":{"observed_at":"2026-08-06T23:57:57.981651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.968775Z","title":"Hue guidance network for single image reflection removal.IEEE Transactions on Neural Net- works and Learning Systems, 35(10):13701–13712, 2024","venue":null,"work_id":"17078bc7-1084-4478-997a-b1ec808ae928","year":2024},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.812535Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:ac97280f4c76bb73d2d982f18bd9231735c4756c4f0adc85c98f7bf22f6cb29b","observation_id":"379b6f88-a704-447a-8d69-ed8e648d23bb","resolution":{"observed_at":"2026-08-06T23:57:57.972131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:57:57.959238Z","title":"En- hanced coarse-to-fine network for image restoration from under-display cameras","venue":null,"work_id":"f235cc44-fa08-47c1-80a6-1bf5ef385e5d","year":2022},"citing_paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:57.815805Z"},"links":{"citing_paper":"/paper/2506.15524"},"observation_digest":"sha256:4fe20cd544970e553ad344f8118330f40552d1eab5bb32dd70397a10f77a1f1e","observation_id":"5f2dd838-3121-48af-8da6-b7b8c15935a5","resolution":{"observed_at":"2026-08-06T23:57:57.962813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.15524","last_updated":"2025-06-18T14:58:49Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T23:51:31.146998Z","submitted_at":"2025-06-18T14:58:49Z","title":"NTIRE 2025 Image Shadow Removal Challenge Report"},"reference_resolution":{"displayed":86,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":4,"verified_fuzzy":57},"total_outbound_references":86},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2506.15524."}