{"as_of":"2026-08-19T19:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1aad4756c711aa89d7cca5258b74f952519c83b3bd1a331301173aa01dc73691","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:18:39.216722Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2505.05088/citation-record","integrity":"/paper/2505.05088/integrity","json":"/paper/2505.05088/citation-record.json","paper":"/paper/2505.05088"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:18:41.300138Z","title":"Protecting publicly-available images with an invisible image watermark","venue":null,"work_id":"c5a45469-e637-4cca-a162-b68a82fe01a4","year":1997},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.473852Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:8988c062eed79c41782c1f6a4f921f590ee0d3384c8d4d824193aaff14373f3b","observation_id":"077c65fd-851d-4ac0-b22c-de66f95c31cd","resolution":{"observed_at":"2026-08-15T23:18:41.387570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:41.212279Z","title":"Tsrformer: Transformer based two-stage refinement for single image shadow removal","venue":null,"work_id":"81f5c32b-7063-4614-8808-2d4c178240ca","year":2023},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.533485Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:9d353f4043d19e19d91474b7dc28791196a865774fb9846475aa33a8bd11466a","observation_id":"d4e3e40e-a25f-44f8-bf2c-f5a50e9c7e61","resolution":{"observed_at":"2026-08-15T23:18:41.216486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:41.201135Z","title":"Simple baselines for image restoration","venue":null,"work_id":"a589d5c2-2327-48cc-9349-fa634200e27a","year":2022},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.579376Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:3361c1f86c533e24714d75fca589012a4b82da9966fe7405618838c3856da28b","observation_id":"2b4a4e7d-1913-4af7-8894-2727b02842ea","resolution":{"observed_at":"2026-08-15T23:18:41.204897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:41.190573Z","title":"Learning a sparse transformer network for effective image deraining","venue":null,"work_id":"0f02a280-d10c-44f4-9347-e6a91c5a6fa8","year":2023},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.584374Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:e5e2defc6662ce3a825e6558231d72bf690b610857a7d898ea96eef3f685f01c","observation_id":"eb1c8c96-4c30-45b4-80d4-0e75922100b9","resolution":{"observed_at":"2026-08-15T23:18:41.193840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:41.179089Z","title":"Leveraging unlabeled data for watermark removal of deep neural networks","venue":null,"work_id":"97063aa0-0a80-4d19-9fa9-53a20b776bff","year":2019},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.588102Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:39ebafc7889f8ef33cc6e2fc108f66768cf686013a21ba878e6f7ab01a812912","observation_id":"52d56ecc-003d-4fa7-b82e-5d392ebcdc08","resolution":{"observed_at":"2026-08-15T23:18:41.183811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:41.166491Z","title":"Large-scale visible watermark detection and removal with deep convolutional networks","venue":null,"work_id":"2e894161-cb83-46d8-93f0-1d27637f90d2","year":2018},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.591674Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:2cb78b4af2c64ad2e621ec824f7399e96c3aa78199ab99b2cddcd246f70e994e","observation_id":"3eb99a31-1142-4882-bc64-80f10d56e8c6","resolution":{"observed_at":"2026-08-15T23:18:41.171165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.995722Z","title":"On the effectiveness of visible watermarks","venue":null,"work_id":"3823311e-dea0-4da1-81ba-10e775a686fc","year":2017},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.595512Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:41c11f6d19329cfe07bd2f318ba7688acce7d96b2fb7d5846e0636b0abee4533","observation_id":"88cd73ea-7ab0-4c1d-a5cd-5c3d3592f848","resolution":{"observed_at":"2026-08-15T23:18:41.063450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10267","last_updated":"2019-08-28T12:01:53Z","snapshot_observed_at":"2026-08-17T22:45:09.743495Z","submitted_at":"2019-08-27T15:22:09Z","title":"DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks","version":2},"cited_work":{"arxiv_id":"1908.10267","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.10267","snapshot_observed_at":"2026-08-15T23:18:39.366953Z","title":"DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks","venue":"eess.IV","work_id":"124468fd-5979-4b84-8cf7-479a499f09ea","year":2019},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.600118Z"},"links":{"cited_paper":"/paper/1908.10267","citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:e0d04d419ce624f88d5f7b4a9833e0c03a0d54cb055336614b5cee55bf4482ee","observation_id":"4134e53b-6378-4c6b-9640-9ea435d152fe","resolution":{"observed_at":"2026-08-15T23:18:39.390099Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-15T23:18:38.604503Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.604503Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:9546bd2c83635c020d663d7ee2660f4eab1d53adff8239637da81b5c9b161471","observation_id":"d6ce4de7-8a8f-4c4c-a2f8-228df52d4c9a","resolution":{"observed_at":"2026-08-15T23:18:38.604503Z","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":"2026-08-15T23:18:38.608505Z","title":"The pascal visual object classes challenge: A retrospective","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.608505Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:38098e925767093d7209fa3c40433932c395dbd6e7806afff638bf8bd34fccee","observation_id":"35927506-6d01-4fbd-9401-e81a9dc40189","resolution":{"observed_at":"2026-08-15T23:18:38.608505Z","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":"2026-08-15T23:18:40.861062Z","title":"Real-time attacks on robust watermarking tools in the wild by cnn","venue":null,"work_id":"bbc45403-dc7d-4213-8711-8228dd73cb87","year":2020},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.612184Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:2dadf49e624615eb9c99d8ce07bbb90bbffcccc76d61c9e22c1469a290b88095","observation_id":"7752bc5b-6544-49ef-a37d-df9933384d8e","resolution":{"observed_at":"2026-08-15T23:18:40.905617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:38.655496Z","title":"Image quality metrics: Psnr vs","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.655496Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:8f7eda5fe43ba1efff307c419fcfb85d20a57d6c22277315ce6d4c65bed6d77a","observation_id":"f419b95c-7a3d-49e5-b599-1abc93b40240","resolution":{"observed_at":"2026-08-15T23:18:38.655496Z","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":"2026-08-15T23:18:40.823998Z","title":"New watermark-removal method based on eigen-image energy","venue":null,"work_id":"f4ab0f5e-c406-4ae4-a2b5-7f8613081f4d","year":2011},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.713429Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:d9411affdc22e3c54aa9da309f6b22c7a5a22767b1a463adafa312b22837fc89","observation_id":"525f52c2-32aa-404b-97d1-13ac794f6e7a","resolution":{"observed_at":"2026-08-15T23:18:40.828634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.812479Z","title":"An algorithm for removable visible watermarking","venue":null,"work_id":"b770a224-b237-4b2d-95cc-b3900586f20e","year":2005},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.766116Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:c328e4369328a7df9af4de4fd9c40a96d1da29a6b53ee72dadf0b6335e52a128","observation_id":"f4167fe9-37dc-4de7-8e9c-6b51cfdcceaf","resolution":{"observed_at":"2026-08-15T23:18:40.817042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.801725Z","title":"Attacking visible watermarking schemes","venue":null,"work_id":"3878ff60-2c28-4f4e-a48d-f884cfb4b181","year":2004},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.770726Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:44b85e604b54a937dae063fa2e2230e3aa400c978f912ec859f7b5872d4da0f4","observation_id":"195e7c5c-e41a-46c4-96eb-a59a4c0aa16d","resolution":{"observed_at":"2026-08-15T23:18:40.805793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.789065Z","title":"Noise2void-learning denoising from single noisy images","venue":null,"work_id":"b3adcedf-b2b5-4730-ab78-ddfd553ff7a6","year":2019},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.774590Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:9df6eedd1f8a73d76c5deb3e95b90adcf617c5f9fe6e99fe1b24a20e70a6b1ee","observation_id":"82c71a79-29df-4ee4-9771-d248ac0073ee","resolution":{"observed_at":"2026-08-15T23:18:40.793158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.681980Z","title":"Noise2noise: Learning image restoration without clean data","venue":null,"work_id":"030250cb-7a7f-4157-879c-448f0e27999c","year":2018},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.779239Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:20783ef87d733846a191b37ea3139b1ae9abd7f5380c1a4c82a97818171301e3","observation_id":"8e20a92f-ec47-4715-ac4b-3cdb6c07774d","resolution":{"observed_at":"2026-08-15T23:18:40.782448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.518312Z","title":"Towards photo-realistic visible watermark removal with conditional generative adversarial networks","venue":null,"work_id":"52ce68d4-9ef5-4fc5-b18b-75292891e786","year":2019},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.784922Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:4821db79060606f7cd3573c89af8a9950bf466c63fb4712e38c80be828e2f0a8","observation_id":"638321b2-6209-4a9b-ab6d-1db77532cdeb","resolution":{"observed_at":"2026-08-15T23:18:40.602800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:38.788378Z","title":"Swinir: Image restoration using swin transformer","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.788378Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:97256ff41d46a6882cbf291e469746284a75e73dcf34886c965595580b91e0d2","observation_id":"969adbe4-bb22-438c-b322-a719d05bf288","resolution":{"observed_at":"2026-08-15T23:18:38.788378Z","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":"2026-08-15T23:18:40.501015Z","title":"Self-supervised learning and adaptation for single image dehazing","venue":null,"work_id":"64289f8a-f293-4028-9b50-f35d6086ddfc","year":2022},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.792205Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:5edba75b9cbff43289536c6da7cec0dd39656378e8af87211ea0e4f1154beebc","observation_id":"4504b04d-be8c-4e06-8bc6-93929027b892","resolution":{"observed_at":"2026-08-15T23:18:40.504638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.489021Z","title":"Bitstream-corrupted jpeg images are restorable: Two-stage compensation and alignment framework for image restoration","venue":null,"work_id":"1a2f5a34-b797-4a20-b156-69998c67a111","year":2023},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.795602Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:430a82796cedbe4457aa3eec93fe71a42776215503417002663b3409f72505a3","observation_id":"150847a4-3f2f-4360-a07f-ca1631b38e81","resolution":{"observed_at":"2026-08-15T23:18:40.493545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:38.799883Z","title":"Bytenet: Rethinking multimedia file fragment classification through visual perspectives","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.799883Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:f5bc1176ef6c2640ac8a64714aa87073e5e09bf5a591da828e7aaed11bb10caa","observation_id":"2021557e-bc63-48dd-9473-7fc47947cb2b","resolution":{"observed_at":"2026-08-15T23:18:38.799883Z","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":"2026-08-15T23:18:38.857696Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.857696Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:54acf8f8856c1ee39eff194edef6f87bb5f167fbed459cf67b4df7f6b75db5e6","observation_id":"6c1816e1-1ded-46fe-ac8c-36aa47e992a3","resolution":{"observed_at":"2026-08-15T23:18:38.857696Z","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":"2026-08-15T23:18:40.309217Z","title":"A novel image recovery algorithm for visible watermarked images","venue":null,"work_id":"392badf8-c48a-44ab-a50f-6c71e58d6eb1","year":2006},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.941286Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:1dab0971284dcc07908a6c97800782d66dc8bfc73b0803358c7ab6b7aa169524","observation_id":"b29ed99c-503d-410b-a6f5-ce2af7c619dd","resolution":{"observed_at":"2026-08-15T23:18:40.399768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.296602Z","title":"A survey of digital watermarking techniques, applications and attacks","venue":null,"work_id":"1a297290-ae8a-44fd-86b1-76f71d2df2f3","year":2013},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.945528Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:06f4c22f72842485804e21d2c8ddebda5fb5d5676c5122dd8266ecbe722d4ca7","observation_id":"dc824cd7-53e0-4194-999b-2dc8770cca8b","resolution":{"observed_at":"2026-08-15T23:18:40.301149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.284010Z","title":"Vision transformers for single image dehazing","venue":null,"work_id":"62b44afc-cb7d-47a2-8ccd-5bb8228cc975","year":1927},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.948883Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:7f9760017c4f1b752faed48f22ef5cd3224a8c367c378290da2c2fc497f438d6","observation_id":"a8606fc2-c012-4464-972f-8fc92fb6144a","resolution":{"observed_at":"2026-08-15T23:18:40.288191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.150525Z","title":"A self-supervised network for image denoising and watermark removal","venue":null,"work_id":"cbf9fc93-3361-4b9e-9cb0-367a3b7f4b38","year":2024},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.953580Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:a3adc5d088209ebd22a9295f922bd44e8456a5a536a01a6452ffbae71d042ecf","observation_id":"e0e1ffee-65ed-49ac-8b21-f7f83aabfd34","resolution":{"observed_at":"2026-08-15T23:18:40.239680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.140095Z","title":"Perceptive self-supervised learning network for noisy image watermark removal","venue":null,"work_id":"9f782250-48c2-4066-8e86-7fa84f18aab2","year":2024},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.957763Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:7faf72e65bce7f2e78e9b4b7f7f5de37fd4300760b860e2e30057e13ce1bfb41","observation_id":"595e50df-1b3a-4c8e-a194-50a3ffa91516","resolution":{"observed_at":"2026-08-15T23:18:40.143349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.128727Z","title":"Transweather: Transformer-based restoration of images degraded by adverse weather conditions","venue":null,"work_id":"9a934399-5897-4cf6-b0ea-cd811b84d6dd","year":2022},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.961635Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:a7b86a85fbe60ecd016c06057ebc9542308e18d0cbc2ac37a4b906269674612e","observation_id":"29d662a9-5d64-4677-bbec-8457975e9f9c","resolution":{"observed_at":"2026-08-15T23:18:40.132769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.117722Z","title":"Crformer: A cross-region transformer for shadow removal","venue":null,"work_id":"e68ecf34-1053-41b0-8594-a2f7b60d0652","year":2024},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.966198Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:fe30d609fa37ab2c8f08685ed68d1facc97b6ed20ba37dfff9feb2445804dac7","observation_id":"ee3d6d99-d461-4a8d-a057-9c98d44eb03b","resolution":{"observed_at":"2026-08-15T23:18:40.121792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:40.038826Z","title":"Fastderainnet: A deep learning algorithm for single image deraining","venue":null,"work_id":"e193c8d5-a696-438e-8b80-2af224c16130","year":2020},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.971370Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:ed97a32d8bad4c56f1b74b356dbcb154ae40d3bca3530f8a6474701759ecc097","observation_id":"33702e24-f00a-44e3-be91-ed9097465130","resolution":{"observed_at":"2026-08-15T23:18:40.109231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:38.994482Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:38.994482Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:dcf27d4da460af0515e95375e561f3fba0da10dc8fd9317ccb6f00c5a7f48ffb","observation_id":"f61343ab-3256-4055-86ce-6f51a26aee7c","resolution":{"observed_at":"2026-08-15T23:18:38.994482Z","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":"2026-08-15T23:18:39.931891Z","title":"Image de-raining transformer","venue":null,"work_id":"0aafb3a3-189f-46d0-b4fc-85ca161a835d","year":2022},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.060880Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:2055c05ebc710dedb18a86bd3bf653eab87f3f9e9958db129eedcb33ecd3c3b6","observation_id":"2e8d0578-bfb7-484f-8244-ece556252705","resolution":{"observed_at":"2026-08-15T23:18:39.936841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:39.921328Z","title":"An automatic visible watermark removal technique using image inpainting algorithms","venue":null,"work_id":"f48e3df1-06cd-448a-820a-8dec81cebd71","year":2017},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.104412Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:0465b03516a9fa245604d0d8148a387b4164a3a50b29c9cb328a6b906c77d443","observation_id":"0df2665a-9643-4917-aa72-7d8a089edede","resolution":{"observed_at":"2026-08-15T23:18:39.925418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:39.698085Z","title":"Metaformer is actually what you need for vision","venue":null,"work_id":"026d71ab-0fc1-49f8-89aa-7d68586a2081","year":2022},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.107769Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:8ed7e3f5d0083646b881a8bf732ad62a76f5ccb3d83760912e1319a50d71efbf","observation_id":"0cea4f31-f3d7-4511-a1c5-502255c2877a","resolution":{"observed_at":"2026-08-15T23:18:39.808513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:39.112734Z","title":"Restormer: Efficient transformer for high-resolution image restoration","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.112734Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:d583628a2f9ed1a2d666d67114702511d945634daa6499ad21a4ffa95ed62533","observation_id":"dbb0a85e-0587-4094-bc02-d5a291f25469","resolution":{"observed_at":"2026-08-15T23:18:39.112734Z","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":"2026-08-15T23:18:39.117064Z","title":"Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.117064Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:ce678407778a25368e28ebbb7ac42fb2a7d18659b99ee08aa7f6ad96635ff9a4","observation_id":"617e1e83-96ca-4099-a8e4-fd8d8d7999e4","resolution":{"observed_at":"2026-08-15T23:18:39.117064Z","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":"2026-08-15T23:18:39.674116Z","title":"Learning deep cnn denoiser prior for image restoration","venue":null,"work_id":"f921e098-95ff-40bd-a2d4-3852ebf50a67","year":2017},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.120996Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:cb6d7e8c0c0b426260443a9887d2e3db9ad2072eb374461f310cef5c05299963","observation_id":"9303bcd0-788c-40ec-9696-12a7876f2a49","resolution":{"observed_at":"2026-08-15T23:18:39.677712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:39.617750Z","title":"Ffdnet: Toward a fast and flexible solution for cnn-based image denoising","venue":null,"work_id":"f63215b6-566a-4f2b-8d95-0e0e9322a41e","year":2018},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.124952Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:68fd92d85ebc2ea40a89cd83fd1e7320f744951790837dc3db59876633d139e1","observation_id":"a57663b6-7c0f-4b12-bd6c-c78ae852f9e3","resolution":{"observed_at":"2026-08-15T23:18:39.666127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:39.413433Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"9cd0fea2-7c72-4a32-9c47-f46065cdd389","year":2018},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.129459Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:17b95ee55cf7f439529e31b9d62419bbfa65befb0aed77646265724ac68c9d6a","observation_id":"fec019bd-e459-4a74-b729-ae8c5f767fd6","resolution":{"observed_at":"2026-08-15T23:18:39.472704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T23:18:39.134013Z","title":"Object detection with deep learning: A review","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.134013Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:de00ffafe29f76525e701793291a26565ee796bde5136feb0dba40bd8b3b53d1","observation_id":"4203d7dc-3826-4b5f-a77e-199ce945df7d","resolution":{"observed_at":"2026-08-15T23:18:39.134013Z","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":"2026-08-15T23:18:39.216722Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T23:18:39.216722Z"},"links":{"citing_paper":"/paper/2505.05088"},"observation_digest":"sha256:00c2b026bc8a60a0ca7e78a08dcaa966ff5759f20cc983a6df2f0725b1e862e2","observation_id":"14e5a9c7-6c73-409d-b0d9-6175f32bf7a7","resolution":{"observed_at":"2026-08-15T23:18:39.216722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.05088","last_updated":"2025-05-08T09:36:49Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-08-17T22:46:04.641341Z","submitted_at":"2025-05-08T09:36:49Z","title":"SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":30},"total_outbound_references":42},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.05088."}