{"as_of":"2026-08-20T13:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a91b4ec93a500aef96bff6b2c81123c5332e44f838f4a2c1650f6a1de6d86c0","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T21:17:27.380334Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T18:25:02.179719Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19129","snapshot_observed_at":"2026-08-04T18:25:02.179719Z","title":"RGB-Event ISP: The Dataset and Benchmark","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09971","last_updated":"2025-09-12T05:16:54Z","snapshot_observed_at":"2026-08-20T07:08:37.480233Z","submitted_at":"2025-09-12T05:16:54Z","title":"Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey","version":1},"reference_index":134,"source":"pdf_text","source_observed_at":"2026-08-04T18:25:02.179719Z"},"links":{"cited_paper":"/paper/2501.19129","citing_paper":"/paper/2509.09971"},"observation_digest":"sha256:baf99d47f62045d22220a4967acc45585b10bb11ae790463683dc3ae77c1a2c5","observation_id":"768c3cf5-1c9f-4aea-8375-3d8a226bf71d","resolution":{"observed_at":"2026-08-04T18:25:02.179719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.19129/citation-record","integrity":"/paper/2501.19129/integrity","json":"/paper/2501.19129/citation-record.json","paper":"/paper/2501.19129"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.149582Z","title":"A high-quality denoising dataset for smartphone cameras","venue":null,"work_id":"628bf2f1-b641-4311-9c16-6235548f477d","year":2018},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.122612Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:683ad97139756aab6030de250504d353374062718e30c8f5f90b6b7484c19abe","observation_id":"677481d3-879d-4ff4-b580-389a8c9d8707","resolution":{"observed_at":"2026-08-09T21:17:28.152924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.139479Z","title":"Alpix-eiger product overview: https://alpsentek.com/product, 2024","venue":null,"work_id":"69925c23-e8f4-460c-b667-10a68325ff40","year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.126454Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:5e4d93fa865e8dcb2815fb4108b2bba407342eacc7a10955efe281deaa08dd92","observation_id":"977c7639-f49b-48e9-ba17-786b3060884c","resolution":{"observed_at":"2026-08-09T21:17:28.143679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.129384Z","title":"Proposal for a standard default color space for the internet—srgb","venue":null,"work_id":"324e7577-5d94-4642-a610-ab88d9f598e5","year":1996},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.129715Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:1f5f07131a3eff8f4b472ca8e7ace8f35c1c09682818b196016c309cf73b9411","observation_id":"12c51bcc-205b-4f08-bec4-01cd97aab5ae","resolution":{"observed_at":"2026-08-09T21:17:28.132966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.119892Z","title":"Depth-aware video frame interpolation","venue":null,"work_id":"4e6fa389-cfb1-4439-84f5-9fad4e3c2c0f","year":2019},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.133605Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:42c137244122f6c4d91c73d7d59d9a75594fc2ac701a0b1e71e1fc5615dfd744","observation_id":"1ad6f687-be7a-400b-a089-b3bf172b8e58","resolution":{"observed_at":"2026-08-09T21:17:28.123276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.110270Z","title":"On the mathematical properties of the structural similarity index","venue":null,"work_id":"2ab4bf76-ff25-432d-9536-2b01c71ab22f","year":2011},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.137741Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:6ebe5a1f1e913cdb76da3cb1c0c59f713acdd04fad7e30b88c00eb69ca9f1f22","observation_id":"180b752c-65c4-41c9-b27d-acdde1313c99","resolution":{"observed_at":"2026-08-09T21:17:28.114034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.101441Z","title":"Real-world single image super-resolution: A brief review","venue":null,"work_id":"50432f12-f49e-4350-885e-4596f157462f","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.141138Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8dafde45746331dbe9b3a8c01443c0578458ddae499c2353fdf5eb201f9fa455","observation_id":"f55c779e-a598-48a5-acc6-e618be311741","resolution":{"observed_at":"2026-08-09T21:17:28.104610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11994","last_updated":"2023-05-23T12:17:39Z","snapshot_observed_at":"2026-08-16T15:31:34.761852Z","submitted_at":"2023-05-19T20:37:27Z","title":"ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing","version":2},"cited_work":{"arxiv_id":"2305.11994","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.11994","snapshot_observed_at":"2026-08-09T21:17:27.473227Z","title":"ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing","venue":"cs.LG","work_id":"99707f49-5b2e-4bf6-b2a0-3e1fb5d1153d","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.148355Z"},"links":{"cited_paper":"/paper/2305.11994","citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:e819e4b12f9298f64a890e915665bd49d8ead63068e9f8cd258ac96cf97f4432","observation_id":"7b521fa4-d6b8-482d-a8d7-fc85612b1014","resolution":{"observed_at":"2026-08-09T21:17:27.476847Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.091938Z","title":"Bm3d image denoising with shape-adaptive principal component analysis","venue":null,"work_id":"bd966bf0-3db8-4de4-8426-bd86c9cc2934","year":2009},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.151596Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:7e8887a9e2cd42e9b587c175997a99911f19a0b9d58fb7b040d8efdbfe55f537","observation_id":"33bfcb10-e35d-403c-a622-79c908d6db92","resolution":{"observed_at":"2026-08-09T21:17:28.095317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.082651Z","title":"Awnet: Attentive wavelet network for image isp","venue":null,"work_id":"60fd8b90-78f2-461d-9917-ea6d98c174d7","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.154659Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:719664963adccd6107f25f05a786a7c0f8a2c76e4d024e55612096914aa0a604","observation_id":"7684b190-346a-41ab-acb3-1f9c5d321062","resolution":{"observed_at":"2026-08-09T21:17:28.085907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.073039Z","title":"Mobile computational photography: A tour","venue":null,"work_id":"5f2fc1af-6648-4fb9-a63a-226ecde9dede","year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.157873Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:b2efb3d5d0ad350b328b8faab531926ad1f30989087cae9a3f17060e095d96bc","observation_id":"fb377801-cd36-4f89-a592-3b7f429f5f49","resolution":{"observed_at":"2026-08-09T21:17:28.076463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.063718Z","title":"Color correction using root-polynomial regression","venue":null,"work_id":"454a516e-88cc-46b4-9da8-c0ec746d0513","year":2015},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.161403Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:f08d6d017e9c607ebbac8ff789912a8a48f5f9b837c955c62ece808962e26724","observation_id":"9efedae3-7ede-493c-9be8-601eb43438d2","resolution":{"observed_at":"2026-08-09T21:17:28.067061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.054216Z","title":"u ck, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J Davison, J \\","venue":null,"work_id":"ececd6a5-5468-4807-9e56-8d659553cfef","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.164495Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:73b141779fc3718d558452afa9411bbf0d0965d4a6a5f09a9cee41ea68f2435e","observation_id":"0ca7dd10-7fec-4764-84cf-98795c7a3bc6","resolution":{"observed_at":"2026-08-09T21:17:28.057623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.043866Z","title":"Computer-synthesis of an interference color chart of human tear lipid layer, by a colorimetric approach","venue":null,"work_id":"bdeb9c1a-fa4c-4e19-8948-0475ea54779e","year":2003},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.167515Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:eeae3b6f52638b53a812e4ef85d598d711683ab37ce42d669b09732c9bf61351","observation_id":"a2595c24-d244-413c-b682-6f297de1ba44","resolution":{"observed_at":"2026-08-09T21:17:28.047237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.033908Z","title":"Joint demosaicing and denoising","venue":null,"work_id":"295086ae-703c-4296-a52b-c037d0b7383e","year":2006},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.170925Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:87de7ae48fe38d715c5bdcc414e7a53a3c370b0875cb99dcd02e4a816b3035da","observation_id":"1474e3db-f663-4e1a-af75-90984cfea79c","resolution":{"observed_at":"2026-08-09T21:17:28.037546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.023351Z","title":"Image quality metrics: Psnr vs","venue":null,"work_id":"33971f10-3f89-4dec-b07a-5a07104402e4","year":2010},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.174068Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:cbfa9c9b2abaacaf721e0b0c34944cc69a31eaa322f083fde305ca1245a319d1","observation_id":"1154b03b-0058-4078-9a4c-16d471b1d34b","resolution":{"observed_at":"2026-08-09T21:17:28.027011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.013244Z","title":"6-dof vr videos with a single 360-camera","venue":null,"work_id":"e03ae9d8-d08a-4ac8-b36c-21066530ad59","year":2017},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.177346Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:a2f5ac28e2b2100692cd51ed235d76f8a261652d3a22559baf7dde5376fa0671","observation_id":"8b4d71fb-0731-46d5-bea7-69beef72a5ce","resolution":{"observed_at":"2026-08-09T21:17:28.016920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:28.003189Z","title":"Aim 2020 challenge on learned image signal processing pipeline","venue":null,"work_id":"bb334367-0e4e-4d2d-bfb4-b92b407c514c","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.180542Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:82074263c99d166708e880c6900d3fc958a1665a3323263e09ce84433910d502","observation_id":"ed3081c7-7593-4bc9-a233-87887cbb4e62","resolution":{"observed_at":"2026-08-09T21:17:28.006407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.993599Z","title":"Replacing mobile camera isp with a single deep learning model","venue":null,"work_id":"6c05a5a3-b7dd-4458-b238-e46f0a162cbb","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.183734Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:59108d789c1aae440d72f27bcf38d522332014f57ee7b2ab7e6322b6658f187a","observation_id":"d125f5f2-0688-4cd3-a894-0dc1f13e3f07","resolution":{"observed_at":"2026-08-09T21:17:27.997023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.984366Z","title":"Tesla autopilot: semi autonomous driving, an uptick for future autonomy","venue":null,"work_id":"35fd6124-adba-40ca-a9b9-9cd2072435cd","year":2016},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.187033Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:d3441a143367154985b333180fc8fb46650933530d3f41b288e076f121954e23","observation_id":"a5b8f835-b7dd-4833-9921-86a1baa75159","resolution":{"observed_at":"2026-08-09T21:17:27.987616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.974754Z","title":"Learning event-based motion deblurring","venue":null,"work_id":"d07f5a56-0ff4-4d3f-862a-4aefec35774a","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.190351Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:c0eb72dbd1efa27c57221a5b05aa2b03aea1c04c365e4a2085c4c8f19efd7393","observation_id":"8bf5f1ca-281d-4715-9892-8e81e640f934","resolution":{"observed_at":"2026-08-09T21:17:27.978218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.965216Z","title":"Turning frequency to resolution: Video super-resolution via event cameras","venue":null,"work_id":"b9de9230-48b4-4616-add0-96616aeeb8de","year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.193516Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:804884544976b0407a3fa2cacbd0f531b5ba9a73644ebcee285433e104dd48e8","observation_id":"1eef953d-7937-4d0b-b212-db582d7e23ab","resolution":{"observed_at":"2026-08-09T21:17:27.968686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.955377Z","title":"Pynet-ca: enhanced pynet with channel attention for end-to-end mobile image signal processing","venue":null,"work_id":"a5cf8204-8b1e-42d5-b715-81e2a31f0039","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.196774Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:7e6efa5f8449827bd8da467179bec000929d38bed16bd0fb0b47b2d2c5c8ab6d","observation_id":"188b8d28-c7d3-4b56-8898-99716afe5a3d","resolution":{"observed_at":"2026-08-09T21:17:27.959091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.945344Z","title":"Theory and applications of smart cameras","venue":null,"work_id":"e1f6e585-1b17-4d0c-9cdd-6ce68fe3df59","year":2016},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.199916Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:11089be0b50dc13cbc5832ed2c9f073388792d81e52beda43c1125bc3cabd9d3","observation_id":"c60e1445-2f51-4562-9185-1d37fc5364c3","resolution":{"observed_at":"2026-08-09T21:17:27.949081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.934820Z","title":"Comparison of cie lab, ciede 2000, and din 99 color differences between various shades of resin composites","venue":null,"work_id":"e5ee4d22-a5c1-4bc2-a14a-bc4fe6362b1b","year":2000},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.203337Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:96f478c7e441828c96a276390ecae9316b6935a9258dd70a490093543a1206bd","observation_id":"f3cc1627-4536-4c0f-a5c9-da98376f8c68","resolution":{"observed_at":"2026-08-09T21:17:27.938860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.924078Z","title":"Design of black level calibration system for cmos image sensor","venue":null,"work_id":"dd7e7236-4aa8-46e8-8fe8-95430856e4a4","year":2010},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.206628Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:df1fb74a6c19ab41442daa70ab0982d08ede9750d57d3dc4f676d0085cab6704","observation_id":"c66d1cd3-552e-471c-b158-53564c70d3b5","resolution":{"observed_at":"2026-08-09T21:17:27.927932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00834","last_updated":"2024-04-01T00:18:17Z","snapshot_observed_at":"2026-08-18T08:23:25.948661Z","submitted_at":"2024-04-01T00:18:17Z","title":"Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach","version":1},"cited_work":{"arxiv_id":"2404.00834","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.00834","snapshot_observed_at":"2026-08-09T21:17:27.459520Z","title":"Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach","venue":"cs.CV","work_id":"a1aa3538-0e59-47d1-b21a-bb0813c435ca","year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.209786Z"},"links":{"cited_paper":"/paper/2404.00834","citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:91666192d784cc0c0e4466535d183112290a883ebd1053efd63811a9d22642e8","observation_id":"bf3fdebd-055c-4646-98da-20754bbce365","resolution":{"observed_at":"2026-08-09T21:17:27.463413Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.913245Z","title":"Coherent event guided low-light video enhancement","venue":null,"work_id":"45dde295-ff27-48c2-92f4-c1196bc023f7","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.216252Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:9b39d89195a70a28a8f52a370e07f110da3d6d982f730d6beb3ad7ec7220f4ea","observation_id":"00d3dcd1-bad4-458a-95ce-0aaf33f4078c","resolution":{"observed_at":"2026-08-09T21:17:27.916897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.903034Z","title":"Cameranet: A two-stage framework for effective camera isp learning","venue":null,"work_id":"cd568870-6a70-4c07-862b-f96ea27cf2b3","year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.220074Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:97e2f0a45ea6f1329f2e085193d60e3fc5f030bd2d3e228bb13a69fbddfbc26a","observation_id":"504a7e4a-0e09-46eb-9d2e-a40f32405f00","resolution":{"observed_at":"2026-08-09T21:17:27.906656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.892692Z","title":"Active pixel sensor (aps) based star tracker","venue":null,"work_id":"5cd02e68-bbe3-4f60-a419-c595998e83ce","year":1998},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.223244Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:fb386c66e73db42ff2852ad4a8fe56173e2f409b0bc2c3aba6a18a2980dd60ee","observation_id":"e3364021-32ea-4aa0-b914-9651cebf8278","resolution":{"observed_at":"2026-08-09T21:17:27.896146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.881974Z","title":"Learning event-driven video deblurring and interpolation","venue":null,"work_id":"967a8de1-6967-494e-bb40-088bac3d418d","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.226771Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:7d0be43bf5bd9d2026e738a65cf09a14e9fa388ec4170a97ea6bd9a8bce28543","observation_id":"b5b5253f-741d-43f6-bddd-4757eecc33e4","resolution":{"observed_at":"2026-08-09T21:17:27.885574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.871419Z","title":"Voxel-based multi-scale transformer network for event stream processing","venue":null,"work_id":"b9632fae-ba31-4a27-b6d9-b0b31cb71b98","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.230047Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:896857eb5e63aa825980b8e3fae8fb4ed80a3e2a89b8c0a24081e6912f83ea04","observation_id":"5d807e01-cbe0-4add-a1e0-b799436d296d","resolution":{"observed_at":"2026-08-09T21:17:27.875048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.233234Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.233234Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:712feeb59d279875a7264a24839ff612fcf001a79a8e7348c3b407cbdc4d73e6","observation_id":"1ca6b39b-17be-4d8f-a156-3870848e3764","resolution":{"observed_at":"2026-08-09T21:17:27.233234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15507","last_updated":"2025-06-03T11:47:29Z","snapshot_observed_at":"2026-08-19T03:01:49.884504Z","submitted_at":"2023-06-27T14:30:25Z","title":"Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames","version":2},"cited_work":{"arxiv_id":"2306.15507","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.15507","snapshot_observed_at":"2026-08-09T21:17:27.445980Z","title":"Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames","venue":"cs.CV","work_id":"842c9ee4-acbb-4eac-9801-3125e447d8cf","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.236360Z"},"links":{"cited_paper":"/paper/2306.15507","citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:15cf87617e07cfe29ec2a83e1d17605705b05094f6553192b71d13561b5fae8d","observation_id":"81381a32-0808-4802-b413-a97e89fff27f","resolution":{"observed_at":"2026-08-09T21:17:27.449762Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.855408Z","title":"Learning spatial-temporal implicit neural representations for event-guided video super-resolution","venue":null,"work_id":"26748254-4b34-46ff-b2a3-93b904f2bee2","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.239715Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:19a0ded8bcebc6cf98eebb1c65018a286aafcd8c50c2cfed17f6bc2325196885","observation_id":"7045d3ab-dd17-4336-92b1-883316fbde90","resolution":{"observed_at":"2026-08-09T21:17:27.858869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02731","last_updated":"2024-04-03T13:30:56Z","snapshot_observed_at":"2026-08-19T02:15:47.796531Z","submitted_at":"2024-04-03T13:30:56Z","title":"Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss","version":1},"cited_work":{"arxiv_id":"2404.02731","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.02731","snapshot_observed_at":"2026-08-09T21:17:27.430033Z","title":"Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss","venue":"eess.IV","work_id":"1927d892-4755-42f2-b833-6002f2015de4","year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.243062Z"},"links":{"cited_paper":"/paper/2404.02731","citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:9c656ca7beb9898fa7f2d096339573df1af1c28c653476208326b58175a630eb","observation_id":"2e39abff-3320-44e8-bfba-362773a2a919","resolution":{"observed_at":"2026-08-09T21:17:27.435570Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.845447Z","title":"The development of the cie 2000 colour-difference formula: Ciede2000","venue":null,"work_id":"5eefcfc9-1986-48e8-a597-6688bbad0be9","year":2000},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.246566Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:f822376df25a696880d9715ed32e671325aee38cd355773c438cf4e979e10629","observation_id":"7f135fc1-0d30-4ecd-8b17-044ce8a48988","resolution":{"observed_at":"2026-08-09T21:17:27.848856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.835058Z","title":"Evaluation of uniform color spaces developed after the adoption of cielab and cieluv","venue":null,"work_id":"95ab4e4e-f136-4c32-bb83-92aea73453fe","year":1994},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.249822Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8bcbf271d8f921cf82371fabfed8886e9edbfb125e95ec6288172d80082b90a7","observation_id":"403dff64-ae8f-4305-ba25-d46790d5133a","resolution":{"observed_at":"2026-08-09T21:17:27.838818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.823900Z","title":"Camera color correction using two-dimensional transforms","venue":null,"work_id":"1d0b79e4-5b9e-4336-8e80-0da6b47023d6","year":2013},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.253141Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:11f022bf8bc5c5f450c3cce904f8bd7b41d4b2644d1896d9a0b50be2aa0ef026","observation_id":"776e16af-efbe-420d-bac1-be56b8312893","resolution":{"observed_at":"2026-08-09T21:17:27.828435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.813581Z","title":"Multi-bracket high dynamic range imaging with event cameras","venue":null,"work_id":"25007bff-b803-4c74-9b62-53d636ef4b95","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.256226Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:1bea4fa9ea1c6d1c10007bcbe5e1719e500531ecf324326d7f9ae46fadef2c65","observation_id":"181bf676-aed0-4c7b-9dfb-7e2aeb0f4c1e","resolution":{"observed_at":"2026-08-09T21:17:27.817115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.803448Z","title":"Mobile intelligent photography and imaging workshop 2024","venue":null,"work_id":"ba80b31b-d3b5-4ebc-9022-5a88be13a7fd","year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.259307Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:2d550739a155605145f9cd52023a5ccb0c4da2f3de1f073ac9c7ee652dec22bd","observation_id":"fd7731f4-3c6d-43a6-b5df-4b0e98b2506f","resolution":{"observed_at":"2026-08-09T21:17:27.806992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.792686Z","title":"Video frame interpolation via adaptive separable convolution","venue":null,"work_id":"47a9e2eb-a437-4120-9d58-0f665ef01d41","year":2017},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.262400Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:129ad1a99209e0b1e9033481c5cdf0610bddf72e1ecacf8fe8526507f457faf0","observation_id":"3e618b01-a0df-4ee4-bbb9-6ff1bce6df64","resolution":{"observed_at":"2026-08-09T21:17:27.796605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.782589Z","title":"Bringing a blurry frame alive at high frame-rate with an event camera","venue":null,"work_id":"8af9eeee-110f-4067-b1fa-345fe8db9ef6","year":2019},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.265540Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:1adf0c6ab0d6278313a917d2398327c979c2a63246728a76565410e2d72cdf94","observation_id":"10f68497-6ae1-44e2-8bc7-c007196f7ed1","resolution":{"observed_at":"2026-08-09T21:17:27.786244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.268940Z","title":"Automatic differentiation in pytorch","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.268940Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:9780fc6d8326e85a38c5c3de6b5eafc752ff389240aef74ddd4fd237ece43016","observation_id":"5beeb211-7a87-4280-9289-6842a83f173e","resolution":{"observed_at":"2026-08-09T21:17:27.268940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.765659Z","title":"Contemporary optical image processing with MATLAB","venue":null,"work_id":"555a0313-2c88-425f-a751-600118478958","year":2001},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.272082Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:88943f10b9b01be136aa87030436b7815086a5f760fb4e49d2d46612ed4a1ae5","observation_id":"df5c446d-5fe9-4da0-8a07-4fb9e50e1633","resolution":{"observed_at":"2026-08-09T21:17:27.769287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.755107Z","title":"Recurrent color constancy","venue":null,"work_id":"71cf5726-3984-40c4-ad81-e475a6929f9a","year":2017},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.275138Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:c3f149a0b0f72e0a6b4930e04590a26fadde3203257ebb11e5bd2fc1c4558a17","observation_id":"3e162636-4167-42ee-a74d-74d7fda679e7","resolution":{"observed_at":"2026-08-09T21:17:27.758826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.745221Z","title":"On finding gray pixels","venue":null,"work_id":"713240b0-6a3a-4bf3-b3d0-7be431801185","year":2019},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.278243Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:c70d3cb16852317f5ebcbf19055f6038c3c2ece3e0df8786bfe9dbd835f27d4a","observation_id":"f2a7091d-fecc-474d-887e-7055f0183fa3","resolution":{"observed_at":"2026-08-09T21:17:27.748511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.734676Z","title":"Quadbayer cfa modified gradient-based demosaicing, 2022","venue":null,"work_id":"8cfa2477-910b-4447-99d0-469eeca04d21","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.281470Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:6b818ff2b1468614b575d0d36ab53d55e26cfe5b65657bfd8482684493b1d471","observation_id":"88ea743b-bba5-4145-b2a3-d2acbb3c3af9","resolution":{"observed_at":"2026-08-09T21:17:27.738250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.284525Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.284525Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8e76767bb9976ada1e140781f455250619d42cf92f9a97d9ddaf31390f04a3c5","observation_id":"c8dd9ab5-0da9-4c78-9417-26ffa7983ff9","resolution":{"observed_at":"2026-08-09T21:17:27.284525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.718711Z","title":"Labelme: a database and web-based tool for image annotation","venue":null,"work_id":"63627732-4f6b-495b-a62f-18972d17f7a8","year":2008},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.287626Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:67f78c5d5ab3ce57d1860f1b8c4a8ca775aeda844a45e43caed5c787457d1b49","observation_id":"a40095c8-6967-4729-9dc9-4baeee249786","resolution":{"observed_at":"2026-08-09T21:17:27.722311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.709013Z","title":"Ced: Color event camera dataset","venue":null,"work_id":"31ff7c4b-5073-41ce-9c66-b26ba47d19d6","year":2019},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.290849Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:08c672047fff340ac3b40e74f15d1e8534eb08a4b6ece9f3407f16301a877a9c","observation_id":"89b66622-5e51-4a41-95d3-efa34380dbd6","resolution":{"observed_at":"2026-08-09T21:17:27.712439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.699433Z","title":"Deepisp: Toward learning an end-to-end image processing pipeline","venue":null,"work_id":"d566307b-90d7-4245-82cd-686890184ecd","year":2018},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.294166Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:eb1c217279968961e5fcf1b98f98396e43193408154e092f59a79b893aad3cdf","observation_id":"808376a8-21be-4e4a-914a-824533dfcfad","resolution":{"observed_at":"2026-08-09T21:17:27.702712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.689680Z","title":"Event cameras in automotive sensing: A review","venue":null,"work_id":"83a1ede6-84ec-4ee4-bfda-6d01c0814d10","year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.297749Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:a43d260178f727eefae935865d8605346bd3327c18903d085111ea93cbcc3cbf","observation_id":"88f9f671-5883-4ec5-8138-092b08494798","resolution":{"observed_at":"2026-08-09T21:17:27.693132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.679929Z","title":"Transform your smartphone into a dslr camera: Learning the isp in the wild","venue":null,"work_id":"e5fff33b-f07a-4c26-afb0-1521df6560e2","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.301191Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:656d93e3d2a1528a5daa04153bbca29575a41aa5f32c257a6d8540bc22cad94f","observation_id":"0e292912-4508-4816-aa9e-817d393683e8","resolution":{"observed_at":"2026-08-09T21:17:27.683595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.670685Z","title":"E-cir: Event-enhanced continuous intensity recovery","venue":null,"work_id":"a6967309-1084-4cdd-a05a-37ff330ddfbf","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.304511Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8ee264bc7f708465385919556b2ca72f25d9b7717e3670945b0542b863a11029","observation_id":"5d4fee1f-fddd-4cb4-9824-1d53a33d75aa","resolution":{"observed_at":"2026-08-09T21:17:27.673838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.661042Z","title":"Colour correction for panoramic imaging","venue":null,"work_id":"64e80a5a-8468-4014-82ee-747345faa199","year":2002},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.307635Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8d611d79012e0202153dd6fae9b6ab99c119a35331d4bd3bfb2f3e07b458549f","observation_id":"c5076487-81b2-491c-89de-03ce8c5fd033","resolution":{"observed_at":"2026-08-09T21:17:27.664332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.651624Z","title":"Time lens: Event-based video frame interpolation","venue":null,"work_id":"1b1d47fe-312a-4d6f-966d-eb2d7a5085fc","year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.310847Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:12c4f7e9e2e74791699034a3e99c2e84d1c7842623b1d174e1fe85e3eb08209e","observation_id":"19250c97-46d1-4d0a-b379-bba1e23c62ea","resolution":{"observed_at":"2026-08-09T21:17:27.654970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.642339Z","title":"Time lens++: Event-based frame interpolation with parametric non-linear flow and multi-scale fusion","venue":null,"work_id":"187f9c2a-2460-491c-ba62-47d2f74b325f","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.313882Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:e0e1a3acea1d1579c74608b2ee38cffe6688ce8cc528ca4324dd38fc2be32032","observation_id":"488695e3-dda7-4fc0-91e8-35ea14c6af86","resolution":{"observed_at":"2026-08-09T21:17:27.645750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.633072Z","title":"Event enhanced high-quality image recovery","venue":null,"work_id":"72ac2683-b052-4d6e-b33e-673bb87c4a6a","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.317296Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:2067355bc7d5f452efcf819a7694581e42d3cd1b32ce1c818ebfa0b00e2783cd","observation_id":"3b2d631b-a85d-47e7-ad3c-cab43c38bb12","resolution":{"observed_at":"2026-08-09T21:17:27.636395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.623863Z","title":"An experiment-based review of low-light image enhancement methods","venue":null,"work_id":"9860af75-cd09-42d9-8851-dc7e15ff7d4e","year":2020},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.320713Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:d4ae3a70f6d57162bcd59a07a5f000b77bc6ab6d3e0d6e8d6bd8b5dcd3efb4a3","observation_id":"8b91a7c5-89c1-4fed-b82c-98f06576f597","resolution":{"observed_at":"2026-08-09T21:17:27.627132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.614451Z","title":"A novel automatic white balance method for digital still cameras","venue":null,"work_id":"42385eb3-030e-4d60-a81c-e9824159b8d9","year":2005},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.324167Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8d46fdc73ef289e18ec6aa6e9ac07fccd7e16cb627ab7e5f5aa5faf9ed11d7e2","observation_id":"1141ff08-31c9-4550-af95-b44e04157a48","resolution":{"observed_at":"2026-08-09T21:17:27.617754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03210","last_updated":"2024-04-04T05:33:06Z","snapshot_observed_at":"2026-08-18T08:19:55.163461Z","submitted_at":"2024-04-04T05:33:06Z","title":"HDR Imaging for Dynamic Scenes with Events","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03210","snapshot_observed_at":"2026-08-09T21:17:27.328414Z","title":"Hdr imaging for dynamic scenes with events","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.328414Z"},"links":{"cited_paper":"/paper/2404.03210","citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:4f8ae70582d9c25170114b33c239a22c84641a906ba04bde90674a3df2122915","observation_id":"d6e5899b-3b83-4ee1-86d2-61efea0e180b","resolution":{"observed_at":"2026-08-09T21:17:27.328414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.604822Z","title":"Invertible image signal processing","venue":null,"work_id":"bfc7cbf8-e5df-48d7-b388-7aebb64ab3c8","year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.332878Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:cfe5b169be1889e95f420490e6e537972a1f274ddfce4dcc55fce439479ee389","observation_id":"1d8f02c0-b64c-4a54-a395-3c48d2bd082e","resolution":{"observed_at":"2026-08-09T21:17:27.608517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.595230Z","title":"Motion deblurring with real events","venue":null,"work_id":"f21f8925-0fdc-4c13-9533-c7677d2ec952","year":2021},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.336070Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:0134500649b66d482e2122bde780a1792b45ead97451416f9a27eb367a260b8e","observation_id":"d385d525-fab0-4f7c-86f2-fa0ad8dfbd7e","resolution":{"observed_at":"2026-08-09T21:17:27.598482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.585510Z","title":"\" seeing\" electric network frequency from events","venue":null,"work_id":"e99c6f6b-2a20-4852-9011-4c625f427609","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.339185Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:87c85ae75af0faeab2b9807dab430512f1b957e83d22da0f16402b67e7222d07","observation_id":"365281c9-66e3-43ce-84ca-1c9225a659a1","resolution":{"observed_at":"2026-08-09T21:17:27.588863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.576458Z","title":"Mipi 2022 challenge on quad-bayer re-mosaic: Dataset and report","venue":null,"work_id":"5c1d5f89-c9b7-4bf8-b2be-7f749d6277a3","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.342874Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:811909ed9a5c1ac75351d4341009f5f88e1664019b04bae80d853943d34b17c5","observation_id":"f6b51665-a14c-4ec0-9329-ea7156c56c95","resolution":{"observed_at":"2026-08-09T21:17:27.579762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.566764Z","title":"Mipi 2024 challenge on demosaic for hybridevs camera: Methods and results","venue":null,"work_id":"7439ee2e-d9f0-4bd8-abcc-e4458c83c311","year":2024},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.346112Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:8680d4b6c828ab5f808aff5ef56fccd60c6d27d0eb191005c90a50c5560732fa","observation_id":"a35ecc5b-ab21-43ef-bf5f-5ba18523a1ab","resolution":{"observed_at":"2026-08-09T21:17:27.570591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.557243Z","title":"Image deblurring with blurred/noisy image pairs","venue":null,"work_id":"079a5ab6-1bf4-4e11-9b0b-b37c27d09871","year":2007},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.349416Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:f247584d1e37247fe0045abc74969a8ac89c80e0dccbf60e540fa29efe7a99cd","observation_id":"16ece5a8-b75e-4102-84b9-15ca36d37fd2","resolution":{"observed_at":"2026-08-09T21:17:27.560515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.546523Z","title":"Uniinr: Unifying spatial-temporal inr for rs video correction, deblur, and interpolation with an event camera","venue":null,"work_id":"ac850cad-a165-4908-8bc5-7014dbf8dbc2","year":2023},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.352829Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:f58431af6a3692121ed03cddc46f38db39a65a192875804bac044f6e09891583","observation_id":"908a43cc-4b72-4ecb-9e05-f7d8b1901d73","resolution":{"observed_at":"2026-08-09T21:17:27.550050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.536046Z","title":"Deep image deblurring: A survey","venue":null,"work_id":"8fcb3a48-4c42-4fc8-8619-e64b089c0043","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.355952Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:beb8d710b2c241c0ebf818babde21c75d7e3a8eae999f99ddecb97026f21ef28","observation_id":"2b6ebb31-44d4-4cfa-88f8-2f68e7b4b655","resolution":{"observed_at":"2026-08-09T21:17:27.540228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.526561Z","title":"Unifying motion deblurring and frame interpolation with events","venue":null,"work_id":"7b61a7a5-34e7-462a-9365-c2599649fd8a","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.359158Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:6cc52943d01c48edf27dc73f19db3d15acef9e0621c0b9a304777c88167b9576","observation_id":"3560a5c7-983f-499b-821d-9cf23d631db8","resolution":{"observed_at":"2026-08-09T21:17:27.529931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.516258Z","title":"Evunroll: Neuromorphic events based rolling shutter image correction","venue":null,"work_id":"5c14e799-85e2-4786-8d7f-49a9680146fc","year":2022},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.362235Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:d3fb21f3ca8449b2661e2df3301e5ed057f5bf9dcfe7c1f369361cd4925fb7cf","observation_id":"6a4b872c-0c57-409b-bf2c-c977517990b9","resolution":{"observed_at":"2026-08-09T21:17:27.520477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07437","last_updated":"2018-04-23T02:49:46Z","snapshot_observed_at":"2026-08-14T19:24:02.128521Z","submitted_at":"2018-04-20T03:19:21Z","title":"Vision Meets Drones: A Challenge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07437","snapshot_observed_at":"2026-08-09T21:17:27.365346Z","title":"Vision meets drones: A challenge","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.365346Z"},"links":{"cited_paper":"/paper/1804.07437","citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:5864dc0bc4aa7bbe4b2e3d40a9c0e7a4cc119d53950af302406d680a27fffd75","observation_id":"330a494d-4a2c-4dd7-8002-561a546c19f4","resolution":{"observed_at":"2026-08-09T21:17:27.365346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.505681Z","title":"write newline","venue":null,"work_id":"ff279bb6-7137-4449-896e-12b862011b7c","year":null},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.368999Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:b8e7ed3cc71a9567790ef70a70c94085cd115d865419ce521c37e69aa129ecc8","observation_id":"84ca5613-fcb4-4bc9-8b88-4f11abae4bd2","resolution":{"observed_at":"2026-08-09T21:17:27.509080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.373091Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.373091Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:a468f5cdadc77564dcf48ea5ba5e0e67d0812aff3bf9d7c8783db0125d089520","observation_id":"356cdbdd-1af2-4923-b32b-ac5ddca08f26","resolution":{"observed_at":"2026-08-09T21:17:27.373091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.377020Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.377020Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:80fbf9f033db4ea70886bb76c78ba67d9a192c0b6c42933be449a458f3b630e9","observation_id":"fc302e82-b906-464e-a1e3-3e741ede61c9","resolution":{"observed_at":"2026-08-09T21:17:27.377020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T21:17:27.483596Z","title":"Top two models are highlighted in red and green","venue":null,"work_id":"a7c25b97-8ea4-4886-8578-063667141ced","year":null},"citing_paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-09T21:17:27.380334Z"},"links":{"citing_paper":"/paper/2501.19129"},"observation_digest":"sha256:6a537de8ea3a0493bdcbf1eabd40a5eba816413c6ca940ab3a3b79d1d965a25a","observation_id":"491d4bc2-9d9e-4d8e-8d86-01bb33d6194d","resolution":{"observed_at":"2026-08-09T21:17:27.486914Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.19129","last_updated":"2025-01-31T13:36:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T18:01:09.728583Z","submitted_at":"2025-01-31T13:36:11Z","title":"RGB-Event ISP: The Dataset and Benchmark"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":7,"verified_exact":3,"verified_fuzzy":64},"total_outbound_references":76},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2501.19129."}