{"as_of":"2026-08-07T10:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8c84bba921d611b78bdb23db4c93eac0de6f84fbc31a2359c15282771959a3e","coverage":[{"denominator":98,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":98,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-17T21:19:43.695857Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T02:58:46.728868Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-12T03:01:18.384249Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"cited_work":{"arxiv_id":"2511.14183","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.14183","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","venue":"cs.CV","work_id":"fa927141-a157-4e96-af3d-f5ad52760d22","year":2025},"citing_paper":{"arxiv_id":"2604.06161","last_updated":"2026-04-10T00:14:18Z","snapshot_observed_at":"2026-08-02T11:38:52.346261Z","submitted_at":"2026-04-07T17:56:18Z","title":"DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models","version":2},"reference_index":108,"source":"pdf_text","source_observed_at":"2026-05-10T19:04:24.131372Z"},"links":{"cited_paper":"/paper/2511.14183","citing_paper":"/paper/2604.06161"},"observation_digest":"sha256:03b6b3b8725dcd310f4d2bb1a63a0d63b49499b4f921f24ef4510db16045ca1f","observation_id":"992e00de-9bb5-4128-a982-8e4692717685","resolution":{"observed_at":"2026-05-10T23:30:51.718684Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"cited_work":{"arxiv_id":"2511.14183","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.14183","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","venue":"cs.CV","work_id":"fa927141-a157-4e96-af3d-f5ad52760d22","year":2025},"citing_paper":{"arxiv_id":"2605.09146","last_updated":"2026-05-09T20:10:53Z","snapshot_observed_at":"2026-07-06T23:21:16.454273Z","submitted_at":"2026-05-09T20:10:53Z","title":"Beyond Thinking: Imagining in 360$^\\circ$ for Humanoid Visual Search","version":1},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-05-12T02:58:46.728868Z"},"links":{"cited_paper":"/paper/2511.14183","citing_paper":"/paper/2605.09146"},"observation_digest":"sha256:c1c9054e55630e04a8ff980c0e445a5853541af5d0190b2a3d3803bd0699c633","observation_id":"bae84b63-9c0e-43dd-96c2-c5dad3cbb104","resolution":{"observed_at":"2026-05-12T03:01:18.386074Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2511.14183/citation-record","integrity":"/paper/2511.14183/integrity","json":"/paper/2511.14183/citation-record.json","paper":"/paper/2511.14183"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"I-haze: A dehazing bench- mark with real hazy and haze-free indoor images","venue":null,"work_id":"7eb262df-4129-4b42-8de2-f7575cee1c88","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:acfa4ff165345550d54692ec39b99a3e08fb11c94b3b8f2ff89d663885c71d3d","observation_id":"575af2af-5317-45ad-84a8-cc5f9527853e","resolution":{"observed_at":"2026-05-17T21:20:17.245229Z","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":"2026-06-05T21:23:00.469572Z","title":"O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images","venue":null,"work_id":"0fe56c07-d300-4603-b297-0121cfd3dd39","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:548df0c7d9bd835e39c1b014c1e19d1c7d369607dedc5df613b6d065a8774fc9","observation_id":"eb76d0b4-a680-4632-ba2e-3b3098e79b03","resolution":{"observed_at":"2026-05-17T21:20:17.236987Z","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":"2026-06-05T21:23:00.469572Z","title":"Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images","venue":null,"work_id":"057f5858-6795-47ba-b397-8cafbb3dfb43","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:fa31d7eba308d6051a847bf48f55386bcecce6881d8ccd00486524e74ac08a30","observation_id":"ac6ffa81-da47-4100-b055-020c271ea498","resolution":{"observed_at":"2026-05-17T21:20:17.229015Z","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":"2026-06-05T21:23:00.469572Z","title":"Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images","venue":null,"work_id":"4849597d-0fb8-42b0-8aaa-50a06723db3b","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:9f3b79d6cf4fa39db8e8e6be9edcff1bc4ae63d31f86c13f0c55e094da91e859","observation_id":"15fae6b9-1903-4535-a9fa-971bef09420b","resolution":{"observed_at":"2026-05-17T21:20:17.233368Z","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":"2026-06-05T21:23:00.469572Z","title":"Ntire 2021 nonhomogeneous dehazing challenge report","venue":null,"work_id":"c49e2ef4-f233-44d5-bd23-74d3a55a08d5","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:946a60d1602dfe22a0d0caa1c784ac7956ad808d6a742a64a2b5ad170dc643f5","observation_id":"412d8aab-8acf-4bc1-8908-37822f7050b0","resolution":{"observed_at":"2026-05-17T21:20:17.241448Z","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":"2026-06-05T21:23:00.469572Z","title":"Ntire 2023 hr non- homogeneous dehazing challenge report","venue":null,"work_id":"601c02f2-bdc6-48d9-9ec8-e5db0f10c750","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:cc6a7dba50312336d69bef7fab3d8cb5a70f750aae2ba326f1e4d83c4ed1a117","observation_id":"e3f233fb-93d1-4b92-9190-b882cdda68e4","resolution":{"observed_at":"2026-05-17T21:20:17.371095Z","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":"2026-06-05T21:23:00.469572Z","title":"Ntire 2024 dense and non-homogeneous dehazing challenge report","venue":null,"work_id":"f27d8bd8-9d26-4cd1-a6f6-b9ba478bafca","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:5b6c08aa04a1e505e6c8e0ac61d2978946949090a0c53d370da3fa83933c746a","observation_id":"2eca58cb-6913-4a6d-8712-4e2c1fb1b55c","resolution":{"observed_at":"2026-05-17T21:20:17.279524Z","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":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2502.13923","doi":"10.48550/arxiv.2502.13923","metadata_source":"pith","pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2.5-VL Technical Report","venue":"cs.CV","work_id":"69dffacb-bfe8-442d-be86-48624c60426f","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:c17acea67f92be482c53b76ece7e8b52c26a1d9cecc5b46edf9c55b42439e2c7","observation_id":"e24b0113-ad70-4ab8-8f01-7ddaa6f325bb","resolution":{"observed_at":"2026-05-17T21:20:16.826342Z","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":"2026-07-12T05:19:13.082554+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"openalex_status_cache"},{"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":"2026-06-05T21:23:00.469572Z","title":"Blender—a 3d modelling and rendering package.Blender Foundation","venue":null,"work_id":"56a4c128-79a3-46c7-86c9-559bbbf3158a","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:8aa524d76115f9bce1bcb459ed276095baa3c84fba5f0e7b95f5c1e6b1be16d4","observation_id":"6f74be83-1e62-43c9-802f-f114668f5db5","resolution":{"observed_at":"2026-05-17T21:20:17.300219Z","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":"2026-06-05T21:23:00.469572Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":"273977e6-dd4b-4c1d-9f32-f13a08c04d96","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:58dd9ee42fa98adea93c4b85565256c3fd5dd7b0a287d43ada81d6b55ee8742a","observation_id":"9c79a26c-6730-4a6a-b2f8-544e6b64612f","resolution":{"observed_at":"2026-05-17T21:20:17.276157Z","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":"2026-06-05T21:23:00.469572Z","title":"Seedream-4: A large-scale text-to-image gener- ation model","venue":null,"work_id":"6eefc704-f852-4137-b5a7-34051c725205","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:4724356cf1157390bc9aa0874e8cca99987d34502d848817a386c402b6f0ea01","observation_id":"79ce24d9-8f39-43df-9104-e30793547132","resolution":{"observed_at":"2026-05-17T21:20:17.296852Z","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":"2026-06-05T21:23:00.469572Z","title":"Gated context aggregation network for image dehazing and derain- ing","venue":null,"work_id":"fd3c6320-f96b-4aac-abcf-b169c2df3553","year":2019},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:a33bfedaa911b6e5908f48f2ae798dd57c45452f8645bd79b8b53e4ee7902541","observation_id":"77193259-eb8e-48a3-a540-328fdcbf5779","resolution":{"observed_at":"2026-05-17T21:20:17.313783Z","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":"2026-06-05T21:23:00.469572Z","title":"Unirestore: Unified perceptual and task-oriented image restoration model using diffusion prior","venue":null,"work_id":"c6bd183f-2ab6-46db-9c50-a5bb1f2cf799","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:824a25b7909c6af059d99f3d00e4a70c061ff04ab9ae53ee42d7f8904c3b3c74","observation_id":"7495f7cf-2ad3-463b-971d-5d15d413ac71","resolution":{"observed_at":"2026-05-17T21:20:17.481478Z","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":"2026-06-05T21:23:00.469572Z","title":"Unireal: Universal image generation and editing via learning real-world dynamics","venue":null,"work_id":"a3067491-947a-4781-93ac-96555cfcfc06","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:fa5cac563fc4c3ea652ade31e4b3ad94527d028802d4e569ff7deeb55bfd48f5","observation_id":"d531ea71-d1fe-457d-9c6d-d4ec95bd4b56","resolution":{"observed_at":"2026-05-17T21:20:17.478814Z","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":"2026-06-05T21:23:00.469572Z","title":"Psd: Principled synthetic-to-real dehazing guided by physi- cal priors","venue":null,"work_id":"29243fcd-f840-4f81-b66e-c6a1313797eb","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:af9954401de1ffd04acdf8a62272fd74b2dc220ae9b151118e4869d81f792698","observation_id":"17774d9b-43bd-446b-89b1-33f815775ee6","resolution":{"observed_at":"2026-05-17T21:20:17.503036Z","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":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":"2507.06261","doi":"10.48550/arxiv.2503.19","metadata_source":"pith","pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-07-11T03:17:51.364436Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","venue":"cs.CL","work_id":"008df105-2fdd-45d8-857a-8e35868aecb6","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:a3824262e943b6a740399d4337e416b488aabdc5d7817d5d9af7ff3456d430b4","observation_id":"27166e61-157f-410b-ae78-79f619de9197","resolution":{"observed_at":"2026-05-17T21:20:16.782634Z","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":"2026-06-05T21:23:00.469572Z","title":"Flare7k: A phenomenological night- time flare removal dataset.Advances in Neural Information Processing Systems, 35:3926–3937","venue":null,"work_id":"30f95a49-3650-4e00-9f92-a2fa3c38638e","year":2022},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:901992a5068f5b9dd0cf5b973134f3bfa55d34bef8efe6a1e3848eff7bdb0a4e","observation_id":"83308507-fc51-4f3e-9482-23a131bd3663","resolution":{"observed_at":"2026-05-17T21:20:17.471105Z","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":"2026-06-05T21:23:00.469572Z","title":"Nighttime smartphone reflective flare re- moval using optical center symmetry prior","venue":null,"work_id":"30d21353-1e68-4a82-935b-dd3bee26a74c","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:ff079309b4526da607fa6c2d7a541c6a0c3b57f6bbf3b2aa3ed86331565fe0ae","observation_id":"51499bca-d8db-4d1b-90e4-01a75a0aff9a","resolution":{"observed_at":"2026-05-17T21:20:17.382549Z","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":"2404.19534","last_updated":"2024-05-27T12:14:34Z","snapshot_observed_at":"2026-08-03T13:47:09.360596Z","submitted_at":"2024-04-30T13:11:12Z","title":"MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results","version":2},"cited_work":{"arxiv_id":"2404.19534","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.19534","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mipi 2024 challenge on nighttime flare removal: Methods and re- sults","venue":null,"work_id":"41db323a-2d71-4abd-bb08-4fab53a76bf1","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2404.19534","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:d43e395e5838b60a60d05256c386a4ce3cb23ae61fd0f9b3c94c94a11bdba05d","observation_id":"8bb12adc-6d6e-4ed4-82bb-88ed6f762eae","resolution":{"observed_at":"2026-05-17T21:20:16.804426Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Shadowrefiner: Towards mask-free shadow removal via fast fourier transformer","venue":null,"work_id":"dfe83e88-2135-4b60-a0b7-8b544072475f","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f8c4845c747efe9131e75c573ccdcebe7acfd17ac9d5a1ed7376d1df31bc65ad","observation_id":"c0dc6d03-7f63-4867-9022-8e14dbb1f702","resolution":{"observed_at":"2026-05-17T21:20:17.265794Z","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":"2026-06-05T21:23:00.469572Z","title":"Location-aware single image reflection re- 9 moval","venue":null,"work_id":"2c807a72-07dc-4746-bf4d-2730ec37b324","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:03caa683087125db3777844c07db290f381eb14649e960bbafc55a507a4432c9","observation_id":"3247c655-5935-4890-b9d5-1c7c18f5aa46","resolution":{"observed_at":"2026-05-17T21:20:17.463735Z","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":"2026-06-05T21:23:00.469572Z","title":"Cycle- dehaze: Enhanced cyclegan for single image dehazing","venue":null,"work_id":"1691f1f8-1149-42dd-8cad-ce4d533d44ec","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:238abac887473887b214bbdb2e9b0c6fd3ab3beb7d6f9793a68533204fc7f414","observation_id":"4eec4793-98df-48bd-9aac-7ce02a2a834a","resolution":{"observed_at":"2026-05-17T21:20:17.461057Z","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":"2026-06-05T21:23:00.469572Z","title":"A generic deep architecture for single image re- flection removal and image smoothing","venue":null,"work_id":"10e0d1b0-42ae-4c98-827d-5b2dd046bf1e","year":2017},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:c783338be2e324a9974daadabef925b086eb3ef89ec8988bc2f70237801cffad","observation_id":"8e7bc7ac-ca9d-4c3c-8f98-e9e154782e21","resolution":{"observed_at":"2026-05-17T21:20:17.395480Z","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":"2026-06-05T21:23:00.469572Z","title":"Auto- exposure fusion for single-image shadow removal","venue":null,"work_id":"c9edde74-0373-493c-a761-d46c4f9c66f7","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:9f64120a153e740d6bd688ba89e86dc862bca24b6ffd909f2951d4ff65b27333","observation_id":"9b592ff4-1d34-4dad-aded-e325a0b3b57e","resolution":{"observed_at":"2026-05-17T21:20:17.290162Z","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":"2026-06-05T21:23:00.469572Z","title":"Deflare-net: Flare detection and removal network","venue":null,"work_id":"7d7384ed-12e9-4c35-8c76-897b0a5ea639","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:8d7eac482c8b7aca55a843ec1341888998cee2025753dc3355d16ab5dc9d9d2c","observation_id":"48d4c7e2-e089-434a-86f4-7ad8267cc2c2","resolution":{"observed_at":"2026-05-17T21:20:17.451599Z","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":"2026-06-05T21:23:00.469572Z","title":"Introducing gemini 2.5 flash image, our state-of- the-art image model","venue":null,"work_id":"15220a3f-caa3-4cf9-aa8d-5e119c113402","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:8c5cb3094243e8235fef411cdbd89786f46b886b3a0848db1202a92f1f7ba855","observation_id":"07e42623-f629-4c73-8076-397a47cee871","resolution":{"observed_at":"2026-05-17T21:20:17.269114Z","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":"2026-06-05T21:23:00.469572Z","title":"Shadowformer: Global context helps shadow removal","venue":null,"work_id":"39e9b8ce-70c1-4511-bdf6-974735ce60ad","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:9e0314064149d6084ab1521c283ed94a9c95591fb5f10ab3d5759f4e93e7a29f","observation_id":"b1c39454-4f42-4006-a27c-60d5485fe1b8","resolution":{"observed_at":"2026-05-17T21:20:17.444220Z","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":"2026-06-05T21:23:00.469572Z","title":"Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal","venue":null,"work_id":"af082298-1762-4ced-b70e-e9ac67e7475e","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:2bce600c4dfb0c922738993811adf9f45a28244212b34cc365819a195cd15517","observation_id":"7747a02c-93ee-46cf-8e88-995d85fb9edd","resolution":{"observed_at":"2026-05-17T21:20:17.413519Z","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":"2026-06-05T21:23:00.469572Z","title":"Single-image shadow detection and removal using paired regions","venue":null,"work_id":"f0c0463d-4e00-4894-9c79-0c8d0c71ac19","year":2011},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:44dc428599a6988a4029a398258b66eccdefbbec03ec1797e73c728a29d8f93d","observation_id":"56f87c93-22af-44a3-bae3-b5bd39da914a","resolution":{"observed_at":"2026-05-17T21:20:17.337950Z","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":"2026-07-09T03:15:58.103984Z","title":"Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353","venue":null,"work_id":"ca40f2f1-9524-437e-8bd4-de06c3ebb3c4","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:b62e5dd7912b7549ce0cdf92ea05e95e06d385f40a39d21203bf3b3f9edfcbdc","observation_id":"bcea78a1-204e-4f66-b062-38b027ddd1e0","resolution":{"observed_at":"2026-05-17T21:20:17.359469Z","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":"2026-06-05T21:23:00.469572Z","title":"Disentan- gle nighttime lens flares: self-supervised generation-based lens flare removal","venue":null,"work_id":"12e91620-1d16-4baa-a426-485b6fbc8174","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:3b6f4af3dc3c3bd3d327cfcf65f54506d5911313750fbf23232236e57e5bc5fc","observation_id":"6cb7ad65-db9c-4ac7-bee9-f580779b6381","resolution":{"observed_at":"2026-05-17T21:20:17.378939Z","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":"2208.01626","last_updated":"2022-08-02T17:55:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-02T17:55:41Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","version":1},"cited_work":{"arxiv_id":"2208.01626","doi":"10.48500/arxiv.2208.01626","metadata_source":"pith","pith_arxiv_id":"2208.01626","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","venue":"cs.CV","work_id":"196f7eef-d65a-47e4-b815-9a188f6aedcf","year":2022},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2208.01626","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:c16bacbd56fe93e041964b305596f237a97a0a7e6afa4db2da835dc1eb020528","observation_id":"7d500881-a9d8-4a7f-85b9-b275adc14277","resolution":{"observed_at":"2026-05-17T21:20:16.793975Z","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":"2026-06-05T21:23:00.469572Z","title":"Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851","venue":null,"work_id":"23abcd13-79dc-4396-bc28-766c588d79e6","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:1ae2d0428a53202f2fe801bf1de2d6d9faad0dff5522b627ea3eb63c83f24635","observation_id":"45514056-06f4-40fa-a3fa-75085a3aebb1","resolution":{"observed_at":"2026-05-17T21:20:17.402788Z","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":"2026-06-05T21:23:00.469572Z","title":"L-differ: Single image reflection re- moval with language-based diffusion model","venue":null,"work_id":"c1b75dac-f7c4-4a09-8e49-6493ce6c3018","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f9324ed74a083c2def630438105ed289dc3108dad1091e03eb846bb6d391acf4","observation_id":"d60671e5-bcfd-4b5f-a873-376a4beb1ac6","resolution":{"observed_at":"2026-05-17T21:20:17.410202Z","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":"2026-06-05T21:23:00.469572Z","title":"Trash or treasure? an interac- tive dual-stream strategy for single image reflection separa- tion.Advances in Neural Information Processing Systems, 34:24683–24694","venue":null,"work_id":"0de986f8-c3dc-4518-a669-b975dbad03b2","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:348a629a33e225c17e9bf4b6d7b1d25b9e61f9232c933883ff2316c8beec0561","observation_id":"9e490ca1-67e8-479a-9146-0d8b5af41180","resolution":{"observed_at":"2026-05-17T21:20:17.455489Z","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":"2026-06-05T21:23:00.469572Z","title":"Single image reflection sep- aration via component synergy","venue":null,"work_id":"e575200e-efa1-4698-8812-3e8bc8b5bf0b","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:dfceda2b188770fae12967191ff7321d7b9c23a642141f82db9f20d0c5523235","observation_id":"f26373c2-fd5b-4d66-941e-59da91c166f9","resolution":{"observed_at":"2026-05-17T21:20:17.316964Z","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":"2505.12641","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Single image reflection removal via inter-layer complementarity","venue":null,"work_id":"d6310f60-4afd-4b2f-bc9d-e6d52a35f7bc","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f926b199fee091865ba4920f285e232b4fa6ee1e1172f4089ae5ca7cd6913eef","observation_id":"25189980-d45f-4ead-b0fa-5e65e4979e91","resolution":{"observed_at":"2026-05-17T21:20:16.814633Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":"2410.21276","doi":"10.1177/15248380231178756","metadata_source":"pith","pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GPT-4o System Card","venue":"cs.CL","work_id":"f37bf1c7-4964-4e56-9762-d20da8d9009f","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:b57ebbe2e7bd5b6f11a5db1fe26d9d71279426108a725622452b339bf5d1af7a","observation_id":"d8f3d519-a660-4e1d-b630-a608815c0fce","resolution":{"observed_at":"2026-05-17T21:20:16.764244Z","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":"2026-06-05T21:23:00.469572Z","title":"Hazespace2m: A dataset for haze aware single image dehazing","venue":null,"work_id":"5c629bf6-645a-4ee8-8557-c9425cf20bb2","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:85d6ea04b78d265850a63b3414c08bfa6693223e17373a3f31616acb631a62f0","observation_id":"5a36d600-7f8b-4c42-8dc1-ecbeb046c6fd","resolution":{"observed_at":"2026-05-17T21:20:17.399113Z","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":"2026-06-05T21:23:00.469572Z","title":"Autodir: Automatic all-in-one image restoration with latent diffusion","venue":null,"work_id":"8add35d4-5c9d-4942-9986-0686f099668d","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:faab85261be73ddaeca4b528b0e54d0c41cd9e27f3a4ace30bcee12db01133e0","observation_id":"850c74c1-9add-4725-a002-5f4cb8a29c3d","resolution":{"observed_at":"2026-05-17T21:20:17.286633Z","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":"2026-06-05T21:23:00.469572Z","title":"Dc- shadownet: Single-image hard and soft shadow removal us- ing unsupervised domain-classifier guided network","venue":null,"work_id":"13044ca7-abf1-4b6a-a3e7-6902dcd839fd","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:8ae24b2264fa007531fa9d32c7881dc28d4980b2a58351aa3e30c593387b3ccc","observation_id":"d5353d9d-3bdd-4be3-b919-6333bff12609","resolution":{"observed_at":"2026-05-17T21:20:17.252328Z","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":"2026-06-05T21:23:00.469572Z","title":"Imagic: Text-based real image editing with diffusion models","venue":null,"work_id":"2a87b53a-a905-4083-84b9-dd3f5ebb453c","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:4bb3ec4cac1fce2df262d448ed209a27c1e88015c90c853fdeb435f65e286b15","observation_id":"c8cd7b8f-d17b-43c1-ae6a-0eacbb3f7f09","resolution":{"observed_at":"2026-05-17T21:20:17.448369Z","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":"2505.09358","last_updated":"2025-05-14T13:07:03Z","snapshot_observed_at":"2026-08-07T04:20:37.688900Z","submitted_at":"2025-05-14T13:07:03Z","title":"Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis","version":1},"cited_work":{"arxiv_id":"2505.09358","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.09358","snapshot_observed_at":"2026-07-10T02:46:42.936265Z","title":"Marigold: Affordable adaptation of diffusion- based image generators for image analysis","venue":"cs.CV","work_id":"c07f68d6-9d91-470d-9ca8-c922c371730e","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2505.09358","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:6c01c867b3f3e3c2ad55940455b1496598371b76ed2d240cf6760200f28f5075","observation_id":"0f6c9128-2474-4411-bfd5-43ef6cd26b4f","resolution":{"observed_at":"2026-05-17T21:20:16.788700Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Single image reflection removal with physically-based training images","venue":null,"work_id":"c05f7e62-0829-406f-9d51-31ef307361e9","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:ea15d3835a0c591202bdb765fbee36033beae3113428e1275bdc81f3c380804f","observation_id":"427d1584-73c2-4f61-9875-b983379833ea","resolution":{"observed_at":"2026-05-17T21:20:17.458434Z","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":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":"1312.6114","doi":"10.2139/ssrn.4269703","metadata_source":"pith","pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Auto-Encoding Variational Bayes","venue":"stat.ML","work_id":"97d95295-30e1-42b4-bbf6-85f0fa4edb44","year":2013},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:d62a43132635e3f7d27c3df82a9331da52d9731cbb3cbabed29dad82101af147","observation_id":"d2f4b5a5-f6d6-4132-9402-bae54a8bd5e6","resolution":{"observed_at":"2026-05-17T21:20:16.751102Z","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":{"arxiv_id":"2506.15742","last_updated":"2025-06-24T05:31:03Z","snapshot_observed_at":"2026-07-06T21:44:22.901650Z","submitted_at":"2025-06-17T20:18:23Z","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","version":2},"cited_work":{"arxiv_id":"2506.15742","doi":"10.48550/arxiv.2506.15742","metadata_source":"pith","pith_arxiv_id":"2506.15742","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","venue":"cs.GR","work_id":"5dfe19d5-3541-4803-8fe9-3c8b9e29b281","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2506.15742","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:62561ba430639eca5bbcd190518434c3b2fcc78a436147777f103302cffdcf8c","observation_id":"cc6703cb-2a7b-4c28-8e80-634fc64380c5","resolution":{"observed_at":"2026-05-17T21:20:16.799186Z","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":"2026-05-25T00:53:20.581238+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T00:53:20.581238+00:00","source":"openalex_status_cache"},{"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":"2026-06-05T21:23:00.469572Z","title":"Shadow removal via shadow image decomposition","venue":null,"work_id":"48e4ca08-4b28-4aff-9b7e-caf346e64756","year":2019},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:7577c983f0f9524b446e280a9e207465cde1661a180dabb75da36e30a6579f46","observation_id":"64a70f84-65d9-4a3e-9949-5957279adda6","resolution":{"observed_at":"2026-05-17T21:20:17.341490Z","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":"2026-06-05T21:23:00.469572Z","title":"Robust reflection re- moval with reflection-free flash-only cues","venue":null,"work_id":"c3e8df40-2125-4776-8fef-babf858033af","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:d1f62257add305c8e5de0521eaf5ea495473afc2f9a00f2a187275d13602ce00","observation_id":"cae2e9e0-e8a2-4626-a68a-3595fbbaec6c","resolution":{"observed_at":"2026-05-17T21:20:17.426329Z","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":"2026-06-05T21:23:00.469572Z","title":"Polarized reflection re- moval with perfect alignment in the wild","venue":null,"work_id":"aeb44b88-8d83-44c2-a7e7-25f4440a2b10","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:6076f3f7f7e2cbba524b3f3ba88c2ae626bb08822811ea1f72e13004e829b3d7","observation_id":"14dc4a7f-89b9-4816-b902-0aca62392e68","resolution":{"observed_at":"2026-05-17T21:20:17.272240Z","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":"2026-06-05T21:23:00.469572Z","title":"Aod-net: All-in-one dehazing network","venue":null,"work_id":"7272b1f6-cfb5-4e18-acb0-8dbdaa0176e9","year":2017},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:4e97b68827ebacf60a2b71f92f3c64c83a932cabc194ab2ef084918a9a8adf6b","observation_id":"e64cab80-8bf9-4cbb-9e8c-2e69ca819217","resolution":{"observed_at":"2026-05-17T21:20:17.351547Z","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":"2026-06-05T21:23:00.469572Z","title":"Benchmarking single- image dehazing and beyond.IEEE transactions on image processing, 28(1):492–505","venue":null,"work_id":"40ca79dc-8d05-44f7-80df-7bbb834cdddb","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:67af95d95c2dd7cb36dabcc35441c25d069de9d22fd89e7cb343f2dfa9b968b7","observation_id":"299b3209-d0b9-47bd-bc4d-b1f97eeee9ab","resolution":{"observed_at":"2026-05-17T21:20:17.466282Z","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":"2026-06-05T21:23:00.469572Z","title":"Single image reflection removal through cascaded refinement","venue":null,"work_id":"5555b1bb-ae12-4256-9471-8a3dfd1c252a","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:a0ea54e4c9b68f077a71e900011ccf0d5235cb8aaf32c209b6700979b3750ddf","observation_id":"b337de53-a548-4d5f-9cb3-cf82fb11d4d1","resolution":{"observed_at":"2026-05-17T21:20:17.476184Z","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":"2026-06-05T21:23:00.469572Z","title":"All in one bad weather removal using architectural search","venue":null,"work_id":"d94811fd-ee80-4e14-a369-35ef4112d0b8","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:2f20dbed1cca2b5629ae97108f69204e4f113c0eaf5d243c437b47ec38487404","observation_id":"96cc442c-a8c5-4cf1-a029-75ae6e692636","resolution":{"observed_at":"2026-05-17T21:20:17.307049Z","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":"2507.16472","last_updated":"2025-07-22T11:22:09Z","snapshot_observed_at":"2026-08-06T15:06:25.599948Z","submitted_at":"2025-07-22T11:22:09Z","title":"DenseSR: Image Shadow Removal as Dense Prediction","version":1},"cited_work":{"arxiv_id":"2507.16472","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.16472","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Densesr: Image shadow removal as dense prediction","venue":null,"work_id":"20c65315-425a-467c-8dcc-b77e652c8450","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2507.16472","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:98f41162605289ce2ca530e5e4baa7752e36ad358a979370bf7b804860d119f2","observation_id":"ce3a49a8-db6b-4495-ba75-e6ba0609dfb7","resolution":{"observed_at":"2026-05-17T21:20:16.820040Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Diff-plugin: Revitalizing details for diffusion-based low-level tasks","venue":null,"work_id":"8bc5ab87-377c-43e2-aaea-e7efdda704fd","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:61af047ad4399c98d6a05f162e136aafcf5f8d60ddbec4f3e73727b5315d3a98","observation_id":"d72edbf0-6cbc-4b6f-ba4a-c911030429b5","resolution":{"observed_at":"2026-05-17T21:20:17.429588Z","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":"2026-06-05T21:23:00.469572Z","title":"From shadow generation to shadow removal","venue":null,"work_id":"e43fec8b-8a63-4d1a-8392-44b0abf566c0","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:c898998942b3b6bfb08b723df30ffe64259436f18cc1b4c538ffbbb16138c2b4","observation_id":"a28159aa-468b-4911-b841-ad964f25f61b","resolution":{"observed_at":"2026-05-17T21:20:17.374746Z","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":"2026-06-05T21:23:00.469572Z","title":"Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32","venue":null,"work_id":"50aba4f2-cda6-43a6-b925-e53cd67ac170","year":2019},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:5ae70c246cd7bc72f193d17904781a3a583d7a6646a6ae906cc5b7964f7ff4e8","observation_id":"fcbda7f9-d68c-4997-aa39-a99252802ed8","resolution":{"observed_at":"2026-05-17T21:20:17.392167Z","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":"2026-06-05T21:23:00.469572Z","title":"Promptir: Prompting for all-in- one image restoration.Advances in Neural Information Pro- cessing Systems, 36:71275–71293","venue":null,"work_id":"6c855817-55eb-4cca-94f9-2200c7b6e899","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:15b1e744707c841e781c6a8696c2cc9f9fd386520797c8058559c92aff97ac68","observation_id":"12d474ec-5252-4036-a71b-053ad7de5b30","resolution":{"observed_at":"2026-05-17T21:20:17.327075Z","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":"2026-06-05T21:23:00.469572Z","title":"Deshadownet: A multi-context embedding deep network for shadow removal","venue":null,"work_id":"ef7ece95-99ea-4f34-b713-05e34b02ef3d","year":2017},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:ca2b3f2b7b79d674ff3cff72bb59717427b9bb6a59c97a164de8881a2e0121d2","observation_id":"fc18c315-0e75-4d34-bf57-91f7d29b2c15","resolution":{"observed_at":"2026-05-17T21:20:17.497533Z","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":"2026-06-05T21:23:00.469572Z","title":"Unsupervised single-image reflection removal","venue":null,"work_id":"a5b726f6-d45d-4e32-a4d8-898ae89891a1","year":2022},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:cebaca2a9f079423976b2c3ce91983fc0f12b918bc24493220c47cd027cb9614","observation_id":"b60f3a54-07ea-4ee5-9055-9a6a9fa7b12c","resolution":{"observed_at":"2026-05-17T21:20:17.283267Z","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":"2026-06-05T21:23:00.469572Z","title":"Awracle: All- weather image restoration using visual in-context learning","venue":null,"work_id":"5f4df45e-4e77-4117-a65a-38b82aa90de1","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:cfadb27c596ea3b0b4a975d665081f613b0eb612301368c048a09b191e996fbc","observation_id":"ecf0f9a5-0204-4a98-917b-2e1866c87df1","resolution":{"observed_at":"2026-05-17T21:20:17.385720Z","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":"2026-06-05T21:23:00.469572Z","title":"Dragdiffusion: Harnessing diffusion models for interactive point-based image editing","venue":null,"work_id":"65257479-710f-40d2-a48f-96ed44297102","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:583341933cad1ca564471d1c3139a4857250852242d67012560638f67d01b283","observation_id":"03546614-51d6-4ddf-ae44-8094ea8388c8","resolution":{"observed_at":"2026-05-17T21:20:17.334412Z","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":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":"2010.02502","doi":"10.48550/arxiv.2010.02502","metadata_source":"pith","pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Denoising Diffusion Implicit Models","venue":"cs.LG","work_id":"8fa2128b-d18c-405c-ac92-0e669cf89ac0","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:3087c1b0128137ff3e1842fcc684028b35781e258aff363ccb386da36a975dd5","observation_id":"5303ebc6-d426-49d2-a66d-08cdde75079d","resolution":{"observed_at":"2026-05-17T21:20:16.809115Z","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":"2026-07-12T13:49:41.147667+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"openalex_status_cache"},{"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":"2026-06-05T21:23:00.469572Z","title":"Vision transformers for single image dehazing.IEEE Transactions on Image Processing, 32:1927–1941","venue":null,"work_id":"fa001eb8-cf7d-459b-9dbc-f6e664d39ec1","year":1927},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:06eb1730f2e589bbf5196340634e614bcaa73deb3892b4555dd5efe4351614ac","observation_id":"0e36fdcc-d61b-4290-9108-d8dcfcf500a9","resolution":{"observed_at":"2026-05-17T21:20:17.417173Z","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":"2026-06-05T21:23:00.469572Z","title":"Resolution-robust large mask inpainting with fourier convolutions","venue":null,"work_id":"94d86bd3-4ad9-4a2e-b1e9-c00dd127f7a9","year":2022},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:3e0e0aad071f4fba5832b260b2032cf23f7851d08dde9a58023bd6bfc82a64d5","observation_id":"b3de2b88-23a2-43fc-9e40-61c96a5f9669","resolution":{"observed_at":"2026-05-17T21:20:17.330688Z","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":"2026-06-05T21:23:00.469572Z","title":"Degradation-aware feature perturbation for all- in-one image restoration","venue":null,"work_id":"0ed1da37-6e07-4711-ad02-8090ac1eaad2","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:b054ad00b44ebc498a91cf3d1a2a5e38eee4b382521c97c0f3ae88db0807d71e","observation_id":"a6ec7085-9dfc-4984-8907-1b5f655345d3","resolution":{"observed_at":"2026-05-17T21:20:17.367342Z","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":"2026-06-05T21:23:00.469572Z","title":"Sfnet-a spatial-frequency domain neural network for image lens flare removal","venue":null,"work_id":"6b9abdfc-b24b-49b4-8d22-cf258fbc085b","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:ab0645598915c3c9bfac3880036b0c96e591c9e0c84059b0862cbb22e3a62b30","observation_id":"60462e1b-f70b-4e40-8e39-1d8114cf9476","resolution":{"observed_at":"2026-05-17T21:20:17.344691Z","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":"2026-06-05T21:23:00.469572Z","title":"Wsrd: A novel benchmark for high resolution image shadow removal","venue":null,"work_id":"0ec24e9c-351c-466d-8ceb-199219881f20","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:53b4d45a9896ea22b9a9236a0142661ab84789c020e69ffe776501f0cdbea30c","observation_id":"e37cf380-63d7-428d-9fb8-d5f52578d06f","resolution":{"observed_at":"2026-05-17T21:20:17.323678Z","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":"2026-06-05T21:23:00.469572Z","title":"Benchmarking single-image reflection removal algorithms","venue":null,"work_id":"d76d27b2-7813-4cc9-8cb9-bb4e06c05a44","year":2017},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:3143f5edc1702382e191a221bb6b8cd69c562e773ee37d8477190f2cf4e17792","observation_id":"04c2ce88-5ea5-4043-87a4-d9b98e6a900b","resolution":{"observed_at":"2026-05-17T21:20:17.259003Z","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":"2026-06-05T21:23:00.469572Z","title":"Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal","venue":null,"work_id":"6db18fc7-155b-46d2-9b32-8135fa622fa1","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:2030a5230ba69f33f63e8b2bbce17d7f0f93ccd8bfeb8aacd6784d8eab0991ac","observation_id":"f7bcaf45-d357-4bb7-bfb2-5b2a68a6ece2","resolution":{"observed_at":"2026-05-17T21:20:17.436419Z","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":"2026-06-05T21:23:00.469572Z","title":"Learn- ing hazing to dehazing: Towards realistic haze generation for real-world image dehazing","venue":null,"work_id":"1b34b9cd-8837-4642-a057-09e5f25b1a75","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:3b2cda4a3cbd68111d7f78d611a26fa46aef29519ad2c537c64ebdf720f554c1","observation_id":"83d07db9-3c05-4596-881c-4458f4eaa85c","resolution":{"observed_at":"2026-05-17T21:20:17.363367Z","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":"2402.02374","last_updated":"2025-08-24T23:26:59Z","snapshot_observed_at":"2026-08-04T12:21:35.396259Z","submitted_at":"2024-02-04T07:11:10Z","title":"PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal","version":2},"cited_work":{"arxiv_id":"2402.02374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.02374","snapshot_observed_at":"2026-07-02T02:36:27.322863Z","title":"Promptrr: Diffusion models as prompt generators for single image reflection removal.arXiv preprint arXiv:2402.02374","venue":null,"work_id":"74361630-97bf-4206-b9fa-c814fcc28312","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2402.02374","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:9b10e30571af9ea48e66098f3d14791e0d2680ad450408dcb7c9b66d9fef8912","observation_id":"a574eb68-3019-4d8b-b4da-62f9767296fd","resolution":{"observed_at":"2026-05-17T21:20:16.776998Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Ucl-dehaze: Toward real-world image dehazing via un- 11 supervised contrastive learning.IEEE Transactions on Im- age Processing, 33:1361–1374","venue":null,"work_id":"6ce6289d-152b-453d-b750-e3ddc780a4a4","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:b7a27434e6306dffa8dbbf1b279f2db48a3f865774f2fc4f6c86af4e23cd015a","observation_id":"3c30804f-54b3-47f4-9929-686420a4b8ee","resolution":{"observed_at":"2026-05-17T21:20:17.406513Z","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":"2026-06-05T21:23:00.469572Z","title":"Single image reflection removal be- yond linearity","venue":null,"work_id":"b18103d1-2862-4568-9457-991a7d4c3e76","year":2019},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:707f1e8161bb6d438e10e25c657d87133f097248c4778b060256bd1dac9b01b1","observation_id":"8c9816db-9f02-4cac-a1d3-4a1d44f704d4","resolution":{"observed_at":"2026-05-17T21:20:17.310431Z","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":"2026-06-05T21:23:00.469572Z","title":"How to train neural networks for flare removal","venue":null,"work_id":"9312d7e1-eb41-4650-93ee-05cbc51bd1d1","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:5be7cc8613bf8b65fd2fd5ee4d28795e8fc9afff432423235a8bc737e4c12c17","observation_id":"54edd011-2137-4cca-b632-f6d8b163acf4","resolution":{"observed_at":"2026-05-17T21:20:17.473804Z","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":"2026-06-05T21:23:00.469572Z","title":"Detail-preserving latent diffusion for stable shadow removal","venue":null,"work_id":"001843de-2443-4f12-b793-7c6670a079f4","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f104aece75127836c18807aeeb7b6195c4a40fb5c1f35772cd829bc8d2106c35","observation_id":"3a120405-0028-43e5-8799-c99ba74115c3","resolution":{"observed_at":"2026-05-17T21:20:17.488852Z","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":"2507.17489","last_updated":"2025-07-23T13:14:59Z","snapshot_observed_at":"2026-08-06T14:44:33.774964Z","submitted_at":"2025-07-23T13:14:59Z","title":"DFDNet: Dynamic Frequency-Guided De-Flare Network","version":1},"cited_work":{"arxiv_id":"2507.17489","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.17489","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2507.17489 , year=","venue":null,"work_id":"9e9ff46c-4486-4c03-bed5-989090075d76","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2507.17489","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:40361549e177c50ab3ab953f200094660c6c3543b7b96c622e9e7012e9ad3893","observation_id":"a32c7500-f603-4f58-b3a8-4a3b71a1b5ae","resolution":{"observed_at":"2026-05-17T21:20:16.742270Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Proximal dehaze-net: A prior learning-based deep network for single image dehazing","venue":null,"work_id":"34684ed7-b7ee-4431-92fe-6629135acce0","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:5e254b3b8490e97ea3eccf2c14ad87d6735b8c3c8bb89b22ba556c8931f23759","observation_id":"230833a6-5b13-4a7e-bbf0-30140c75df15","resolution":{"observed_at":"2026-05-17T21:20:17.248903Z","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":"2026-06-05T21:23:00.469572Z","title":"See- ing deeply and bidirectionally: A deep learning approach for single image reflection removal","venue":null,"work_id":"9bf8e4c6-4ba2-411a-9cfe-cca093b2c4df","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:9a2e7f5c135c9d47c021751953930c3058b84cd3b5ab57d8f376c6c066d9c7a6","observation_id":"aaefe9ff-5416-4849-bff9-0d0a40055a06","resolution":{"observed_at":"2026-05-17T21:20:17.423409Z","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":"2026-06-05T21:23:00.469572Z","title":"Nighttime dehazing with a synthetic benchmark","venue":null,"work_id":"14cda344-6479-42e2-b74f-df374f5c42da","year":2020},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:fff4df8486c2f5f0ebd33115b38607b09a39d584991402f6f1d5fc79a026e28d","observation_id":"03046290-6436-42de-bad4-c755baeb3122","resolution":{"observed_at":"2026-05-17T21:20:17.484176Z","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":"2026-06-05T21:23:00.469572Z","title":"Shadow re- mover: Image shadow removal based on illumination recov- ering optimization.IEEE Transactions on Image Processing, 24(11):4623–4636","venue":null,"work_id":"ab148ba7-be4c-4c06-92b1-3343ac4ae586","year":2015},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:6cbf61f5c55dce4f4628758adcd282d1407f0ac4c7ba07b816f88be3802e8244","observation_id":"55344361-98a3-4824-8c78-1b16db9d502d","resolution":{"observed_at":"2026-05-17T21:20:17.354937Z","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":"2026-06-05T21:23:00.469572Z","title":"Pa-nafnet: An improved nonlinear activation free network with pyramid attention for single image reflection removal.Digital Signal Processing, page 105474","venue":null,"work_id":"4282863a-ed57-4d0f-95a5-8ce83a170ece","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f4757e4dec5e770ed35a97e0a855889e2689414bff3bc9bc0c36e7c83e85aa3d","observation_id":"c4342f71-20b8-4d4c-a614-778c02bb28c4","resolution":{"observed_at":"2026-05-17T21:20:17.262431Z","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":"2026-06-05T21:23:00.469572Z","title":"Lmhaze: intensity-aware image dehazing with a large- scale multi-intensity real haze dataset","venue":null,"work_id":"8aeccc6f-78da-46a0-8a32-ae65e49d21c7","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f88eb39fea2797d24b71a80a6b3baf79f3845f7b7759b68d926a56a06253b9c4","observation_id":"2fc8851f-b94f-45de-8ac2-58fd708f8aba","resolution":{"observed_at":"2026-05-17T21:20:17.500214Z","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":"2026-06-05T21:23:00.469572Z","title":"Blind image quality assessment via vision- language correspondence: A multitask learning perspective","venue":null,"work_id":"ff809cff-51fe-4c96-8ce0-4e9522f4f4ca","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:ec4c96517c8104af468cbfe5a85d65dfa460514286f5b010d9ba9168f0095cf5","observation_id":"a0c2043d-2b30-476a-b69e-de67218f744f","resolution":{"observed_at":"2026-05-17T21:20:17.440493Z","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":"2026-06-05T21:23:00.469572Z","title":"Single image re- flection separation with perceptual losses","venue":null,"work_id":"ca75280c-6c4e-4c7d-8911-7dd2681b1234","year":2018},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:ba32fcfa45d302e0065d72bda1f26b8a4790dfaf507d80531eb7789b9542d49d","observation_id":"7ee88480-d96d-4a42-8708-114d737d2851","resolution":{"observed_at":"2026-05-17T21:20:17.304146Z","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":"2026-06-05T21:23:00.469572Z","title":"Learning to restore hazy video: A new real-world dataset and a new method","venue":null,"work_id":"988a320a-61be-4e2c-9f9a-d36ad60ce771","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:79c8e3742fb9b6528d6a082cf24fa845236487395bbcd7969eb24625be4068b6","observation_id":"1a21b04b-aab4-47d1-9ef8-698b50d0ab68","resolution":{"observed_at":"2026-05-17T21:20:17.348310Z","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":"2203.11947","last_updated":"2022-07-21T00:59:33Z","snapshot_observed_at":"2026-08-06T15:31:53.537163Z","submitted_at":"2022-03-22T16:13:27Z","title":"CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training","version":3},"cited_work":{"arxiv_id":"2203.11947","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.11947","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cm-gan: Image inpainting with cascaded modulation gan and object-aware training","venue":null,"work_id":"ea855ac8-9f3c-4e27-96f8-b71f3cf63b66","year":2022},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2203.11947","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:6b0fdd75cf815c442615827ca74aa8e262f3ca8ce7ae32049d600ae1b77d3ee4","observation_id":"7bbcdce8-fd9b-4a15-9ff2-a058e2e2bb30","resolution":{"observed_at":"2026-05-17T21:20:16.771163Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Single image reflection removal with absorption effect","venue":null,"work_id":"a22b2893-a5d7-40cc-b55d-3d6f97030198","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:2249acad017f0e9b6d49fb8c7b29cea8beed691e5280f5ed035a0958f451e707","observation_id":"a9d13d7a-cde3-4671-b3f8-25bd473f4468","resolution":{"observed_at":"2026-05-17T21:20:17.420181Z","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":"2407.14746","last_updated":"2024-07-20T04:36:39Z","snapshot_observed_at":"2026-07-06T18:49:25.288816Z","submitted_at":"2024-07-20T04:36:39Z","title":"Difflare: Removing Image Lens Flare with Latent Diffusion Model","version":1},"cited_work":{"arxiv_id":"2407.14746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.14746","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2407.14746 , year=","venue":null,"work_id":"f7411125-abf1-4439-9222-f56fae206ad0","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"cited_paper":"/paper/2407.14746","citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f92fcce7b0471c22d6ffb89cb274699dc416a450ec40a4eb70b7ebe70696f836","observation_id":"e56e605d-134a-4ae7-aebb-82c7fbc94c68","resolution":{"observed_at":"2026-05-17T21:20:16.758135Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"Improving lens flare removal with general-purpose pipeline and multiple light sources re- covery","venue":null,"work_id":"0f9f66f8-d76d-46de-8115-169f61ef0b82","year":2023},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:e2cd496220a3b152efc27e967e53a1dd4dbe77da308d4cbca3a31b1dd821a575","observation_id":"8c6c260d-5f07-4228-b146-d05d58d23742","resolution":{"observed_at":"2026-05-17T21:20:17.432969Z","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":"2026-06-05T21:23:00.469572Z","title":"Image lens flare removal using adversarial curve learning.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence","venue":null,"work_id":"de24734c-de5c-46c7-9a2a-6dfdc0c53458","year":2025},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:eff099a5e87d8dc18973a3a24fdcd9137a513e61160d3e4ebb0e8f375b51541b","observation_id":"6579ed97-5bb0-4d33-92cb-13e08d53a91f","resolution":{"observed_at":"2026-05-17T21:20:17.388889Z","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":"2026-06-05T21:23:00.469572Z","title":"Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing.IEEE Transac- tions on Image Processing, 30:7620–7635","venue":null,"work_id":"c25a4edd-05c9-492f-a6e6-87ce67b9c591","year":2021},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:e6910f93cfc87f10e1387923fbb19a4a6ead1f61dba00a8e314058fa52a57dfc","observation_id":"70b156ab-f10f-4bea-94a1-f439028fcc6b","resolution":{"observed_at":"2026-05-17T21:20:17.468756Z","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":"2026-06-05T21:23:00.469572Z","title":"Revisiting sin- gle image reflection removal in the wild","venue":null,"work_id":"084f6f81-953e-4717-a2ed-fdb7e8badd36","year":2024},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:0075ed534ef009df5fea08de2b53b500fe25b3b8b32837c8e942b76c8c01a8d4","observation_id":"006e6d5a-3339-4207-87b3-9254c5df4cc9","resolution":{"observed_at":"2026-05-17T21:20:17.255572Z","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":"2026-06-05T21:23:00.469572Z","title":"Our data collection process aggregates established bench- marks from each domain","venue":null,"work_id":"d2a687a6-cd69-46da-90f9-7d0f53d3cb93","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:e2cb21f096d240d1a521c5e77e536250f8e3f3c80d1b36b59dadafcfc23c6484","observation_id":"08dcb492-19a7-4181-afdb-61e3afeba761","resolution":{"observed_at":"2026-05-17T21:20:17.293751Z","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":"2026-06-05T21:23:00.469572Z","title":"This pipeline was designed to overcome the limitations of existing synthetic datasets, which often lack physical realism and diversity","venue":null,"work_id":"efea1a22-95db-4293-b2f2-16a0a028671a","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:4f176526c564b3015e978518de201d89d5350c4e8735be0ec0644a7ea4ed4709","observation_id":"082abeea-8f9f-4b47-b760-5a473675272b","resolution":{"observed_at":"2026-05-17T21:20:17.491813Z","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":"2026-06-05T21:23:00.469572Z","title":"top-tier image quality assessment expert","venue":null,"work_id":"77cc365a-495c-4c97-91d9-e658710eac80","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:538a945ef518212a04e6d40cb9b8951827b283ba25b7fdf48ccd5057fa66c639","observation_id":"5756b832-7296-42b1-941f-dff6151eade0","resolution":{"observed_at":"2026-05-17T21:20:17.494748Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"90a087e2-6562-40fb-aea1-9538d4df6096","year":2000},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:1e04f84d4e11aeba57cedf388d8ccc484d23d94d1e771a8f8383b7d583e6f9bb","observation_id":"a213cf85-3ecb-4be2-88dd-ee22e66932ae","resolution":{"observed_at":"2026-05-17T21:20:17.486450Z","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":"2026-06-05T21:23:00.469572Z","title":"More Visual Results We provide more visual results in Fig","venue":null,"work_id":"eefd7b2a-ae5b-45e0-b5d0-4c05ad9c1fe0","year":null},"citing_paper":{"arxiv_id":"2511.14183","last_updated":"2026-04-28T09:22:36Z","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","version":3},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-05-17T21:19:43.695857Z"},"links":{"citing_paper":"/paper/2511.14183"},"observation_digest":"sha256:f707378c740b634d657dc4e9e0850c3fd0949d8cca1bc6549a47ce713a9566a8","observation_id":"f0940d06-4448-43e2-9818-7c64bb434849","resolution":{"observed_at":"2026-05-17T21:20:17.320220Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2511.14183","last_updated":"2026-04-28T09:22:36Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T05:43:36.394636Z","submitted_at":"2025-11-18T06:39:39Z","title":"UniSER: A Foundation Model for Unified Soft Effects Removal"},"reference_resolution":{"displayed":98,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":15,"verified_fuzzy":81},"total_outbound_references":98},"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 98 of 98 outbound references and 2 inbound Pith citation observations for arXiv:2511.14183."}