{"as_of":"2026-08-08T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a9369697c74f0c3b016beb1c7948b0fe99f79420a1f62a80368af2b71e199b9","coverage":[{"denominator":83,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":83,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:01:42.785119Z","state":"measured"},{"denominator":86,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":86,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T11:16:55.323287Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T22:54:01.117074Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"cited_work":{"arxiv_id":"2507.06814","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06814","snapshot_observed_at":"2026-06-29T22:54:01.117074Z","title":"Hvi- cidnet+: Beyond extreme darkness for low-light image enhancement,","venue":null,"work_id":"6022e46b-cbfd-42a9-b31d-086947f31e82","year":2025},"citing_paper":{"arxiv_id":"2604.04136","last_updated":"2026-04-05T14:41:59Z","snapshot_observed_at":"2026-08-07T12:22:50.400504Z","submitted_at":"2026-04-05T14:41:59Z","title":"Rethinking Exposure Correction for Spatially Non-uniform Degradation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-13T16:51:05.774071Z"},"links":{"cited_paper":"/paper/2507.06814","citing_paper":"/paper/2604.04136"},"observation_digest":"sha256:ef2f5ae25b96d861fceb418ab6bac0776e3a3f82548c13b4cf7bea1180115471","observation_id":"6dc6c741-9036-4e93-9c6a-a16479c23266","resolution":{"observed_at":"2026-05-13T16:53:00.043004Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06814","snapshot_observed_at":"2026-07-13T11:16:55.323287Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.04138","last_updated":"2026-06-30T14:47:48Z","snapshot_observed_at":"2026-07-13T11:16:49.191589Z","submitted_at":"2026-04-05T14:53:43Z","title":"Learning Dexterous Grasping from Sparse Taxonomy Guidance","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-13T11:16:55.323287Z"},"links":{"cited_paper":"/paper/2507.06814","citing_paper":"/paper/2604.04138"},"observation_digest":"sha256:ee78e28d0f1c65fb8121d61b6ed5e20fd0f6e95d388c143ed20be6616f90e469","observation_id":"4b62553b-87d0-4cf9-83eb-362a26fcce40","resolution":{"observed_at":"2026-07-13T11:16:55.323287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"cited_work":{"arxiv_id":"2507.06814","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06814","snapshot_observed_at":"2026-06-29T22:54:01.117074Z","title":"Hvi- cidnet+: Beyond extreme darkness for low-light image enhancement,","venue":null,"work_id":"6022e46b-cbfd-42a9-b31d-086947f31e82","year":2025},"citing_paper":{"arxiv_id":"2605.25892","last_updated":"2026-05-25T14:19:59Z","snapshot_observed_at":"2026-07-06T23:35:46.157653Z","submitted_at":"2026-05-25T14:19:59Z","title":"SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-06-29T22:50:04.503551Z"},"links":{"cited_paper":"/paper/2507.06814","citing_paper":"/paper/2605.25892"},"observation_digest":"sha256:ec2a6b0ca57e2dee25c45f53f8e9f785ec25a447476e1ca63d451ca6eaeb7103","observation_id":"59e9efd4-4758-45c5-8db3-1535fba6caec","resolution":{"observed_at":"2026-06-29T22:54:01.120250Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06814/citation-record","integrity":"/paper/2507.06814/integrity","json":"/paper/2507.06814/citation-record.json","paper":"/paper/2507.06814"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:01:42.534055Z","title":"Low-light image and video enhancement using deep learning: A sur- vey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.534055Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:39d7c4addb61be5992a41d627f5a2f77ff5394db571d0acd895af8e495bea8a3","observation_id":"85666f91-fffc-4b3a-a427-b64a6d1a8287","resolution":{"observed_at":"2026-08-06T19:01:42.534055Z","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":"2026-08-06T19:01:42.537860Z","title":"Snr-aware low-light image enhancement,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.537860Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:806795c1af1b3759da49d36e0ffc795e5b6dd14da4e14039108928efb606febb","observation_id":"f1af2366-b072-4275-8895-dc19eddfd782","resolution":{"observed_at":"2026-08-06T19:01:42.537860Z","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":"2026-08-06T19:01:42.541325Z","title":"Low-light image enhancement via structure modeling and guidance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.541325Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:32b61fc2af90ce373cc78df060044fd8fb42831a963df835eb375a200071ef45","observation_id":"61c5f9a6-7df9-4198-b3d3-6579b5801bac","resolution":{"observed_at":"2026-08-06T19:01:42.541325Z","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":"2026-08-06T19:01:42.544943Z","title":"Kindling the darkness: A practical low-light image enhancer,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.544943Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:ac79b806fd4c510cee0016fd826e2592e3f8fdc8e3e487bef473c5db4993496a","observation_id":"7fedfcac-4e0d-4aba-9edc-e62f71111243","resolution":{"observed_at":"2026-08-06T19:01:42.544943Z","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":"2026-08-06T19:01:44.705636Z","title":"Enlightengan: Deep light enhancement without paired supervision,","venue":null,"work_id":"11d86b91-fb1c-48a0-b6ac-52e612902f13","year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.548346Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:d8b9ff66efa749ac31403e3839d06812dac93ea3ee63ad5119da7d4f09802fa8","observation_id":"487cc16a-836a-45fa-9906-e1742cbee0b3","resolution":{"observed_at":"2026-08-06T19:01:44.708946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.695512Z","title":"Zero-reference deep curve estimation for low-light image enhance- ment,","venue":null,"work_id":"25f2ef5d-2379-40db-b0d2-348b800476d1","year":2020},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.551692Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:2971a70eeb646d1bb8c1ee5f48ffa3863e1c7add70e4da6d0d2396a0edfc4343","observation_id":"3b05e847-6682-4305-854a-6012e7a44ec2","resolution":{"observed_at":"2026-08-06T19:01:44.699077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.685311Z","title":"Glare: Low light image enhancement via generative latent feature based codebook retrieval,","venue":null,"work_id":"64df7734-b599-4e26-9360-d9198248bf6f","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.555390Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:53f84fc9f1dff837fe40073313cb235ee1e308d7834a6aa0ff28245b744cfdfe","observation_id":"15b08d97-f3d5-4f03-80cd-1316c58cf882","resolution":{"observed_at":"2026-08-06T19:01:44.688584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.675901Z","title":"Mpc-net: Multi- prior collaborative network for low-light image enhancement,","venue":null,"work_id":"def2fa5d-50fb-47f1-b7af-828a3a24f7da","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.558489Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:dad9bd47f0d913e17abc00de30f7cb87fa9ae01c9aa2fceed5a3e1bc7e3610fe","observation_id":"8bee66b1-535d-4ddb-a0ce-82dfcc0082f5","resolution":{"observed_at":"2026-08-06T19:01:44.678988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.666674Z","title":"Beyond brightening low-light images,","venue":null,"work_id":"ea713e12-ea91-4575-bf87-dea26137a14f","year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.561421Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:743169fc6be8c299fdc97532b24e88a3c7d70253360f0b4946399c69b0b17010","observation_id":"5d8e89dd-ff6e-44aa-9a86-2c888455c493","resolution":{"observed_at":"2026-08-06T19:01:44.669775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.656239Z","title":"Learning to enhance low-light image via zero-reference deep curve estimation,","venue":null,"work_id":"29019a9c-6e64-4f5f-84d6-27faf7f99a71","year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.564455Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:1a91d08026c891f5bf590ce02f4066ec6d1450ef254ce0ff2ec558c53f9f3306","observation_id":"ce22cc0e-daf0-48a0-bf94-858405381c90","resolution":{"observed_at":"2026-08-06T19:01:44.659703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.567419Z","title":"Inter- pretable optimization-inspired unfolding network for low-light image enhancement,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.567419Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:4cd7bf02ab2bce2bcf62492ab826e21b064b7e26e76d01bd7e069c0e17f1e772","observation_id":"38cf51bf-d84a-4486-987c-424dd0c93978","resolution":{"observed_at":"2026-08-06T19:01:42.567419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20272","last_updated":"2025-02-28T11:13:24Z","snapshot_observed_at":"2026-08-07T17:42:20.147953Z","submitted_at":"2025-02-27T16:59:51Z","title":"HVI: A New Color Space for Low-light Image Enhancement","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20272","snapshot_observed_at":"2026-08-06T19:01:42.570844Z","title":"Hvi: A new color space for low-light image enhancement,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.570844Z"},"links":{"cited_paper":"/paper/2502.20272","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:b459c5b411756f6b8604eecccdff0b528b326ba698b68d117dcdf2bff84ef22a","observation_id":"6bad2ace-884a-467d-8937-edca7f04db60","resolution":{"observed_at":"2026-08-06T19:01:42.570844Z","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":"2026-08-06T19:01:44.640874Z","title":"Gevers, A","venue":null,"work_id":"680b709c-b9fd-49f1-96c6-416a439c409a","year":2012},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.574422Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:39017aec4ea189ab6a658af90d214f17f63f5223307f6aea4557abbaa7fb63f2","observation_id":"61e3e714-7b44-4c7c-93c2-ba6ddbeccbd6","resolution":{"observed_at":"2026-08-06T19:01:44.644181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.632035Z","title":"Rethinking RGB color representation for image restoration models,","venue":null,"work_id":"33c5f21c-8f0f-4dfc-aa23-8ecf5910a6d3","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.577506Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:ed08dfe1945f5e9967e0c2d04b12df7b130c51729f6b47bd80b67ef7a1d22cb2","observation_id":"e2c6a537-84ba-440e-a919-d325bae94ee6","resolution":{"observed_at":"2026-08-06T19:01:44.635160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.622859Z","title":"Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,","venue":null,"work_id":"bc1f25b4-bcb9-4be7-98d8-556cc499bcc7","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.580500Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:597572c90ceb8df632fd110e0b8d264b2deffe5eb46edc5201358e836f3e7a40","observation_id":"2fe2d126-aea4-46b0-8687-72b50f727513","resolution":{"observed_at":"2026-08-06T19:01:44.626186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.613961Z","title":"Low illumination video image enhancement,","venue":null,"work_id":"98cd5345-f0e1-4915-8688-67ed3eb89d8a","year":2020},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.583963Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:40e6c673d8ff8b14d00192893b8e258180e78fe2d9b7f21e8ff63e262d542d5a","observation_id":"6b23ea9c-a254-4f56-9718-693536296729","resolution":{"observed_at":"2026-08-06T19:01:44.616948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.605568Z","title":"A low-light image enhancement method based on hsv space,","venue":null,"work_id":"f2e81256-92f2-4c13-a7ce-004bd593b9ef","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.587269Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:068ee953389df5bd0669b9cefac6268abc89aed972f223092968dc71813f3afd","observation_id":"68a9f0a4-302b-4983-8a81-b1df8ec5a2d1","resolution":{"observed_at":"2026-08-06T19:01:44.608517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.596694Z","title":"Better than reference in low-light image enhancement: Conditional re-enhancement network,","venue":null,"work_id":"4f39111d-af0e-4bff-900e-febb2a9d9904","year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.590229Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:aa66077b55a8ca76734f61f0a519ee95b5199c5c2ec1759e2f5cf24dcfa423b5","observation_id":"d69e7389-b51b-41d2-b807-2541cf02bfc7","resolution":{"observed_at":"2026-08-06T19:01:44.599833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.587267Z","title":"Zero-reference low-light enhance- ment via physical quadruple priors,","venue":null,"work_id":"2e1c5810-50eb-4101-bdd3-36445cee6105","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.593094Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:7905b40384e40f1412e66c5b5ee78988e4b4d1d5e9cdfdc83049a89b541274e8","observation_id":"7531602a-9daa-4d49-a243-e7050d544c25","resolution":{"observed_at":"2026-08-06T19:01:44.590341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:44.578317Z","title":"Region- based unsupervised low-light image enhancement in the wild with explicit domain supervision,","venue":null,"work_id":"5ee3c6cb-42da-429a-a88c-d8c3575f6528","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.596208Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:8dabbfd9cf25df04847c5a7f409655131480ac68671f0846601d6b4b54192a09","observation_id":"268d67be-c773-4a60-8114-80f9918c780c","resolution":{"observed_at":"2026-08-06T19:01:44.581405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.436748Z","title":"Learning semantic-aware knowledge guidance for low-light image en- hancement,","venue":null,"work_id":"cd53517b-ca3b-4d69-97d5-88d17b3f1d64","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.599104Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:28d565ab540791525402bc9cd36af0c3da6e513e4e097ec887f4eaf4f2e3a7fc","observation_id":"92024269-8417-42eb-bc68-3170e33fa395","resolution":{"observed_at":"2026-08-06T19:01:44.572125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.427405Z","title":null,"venue":null,"work_id":"4ceec304-b8cb-435a-916a-c25bfbc971ca","year":1982},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.604808Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:442d9a240919e1e9c8b9129dc0d905f5dd60c0a6a6fe8e3b6372f8d4e4ed69c2","observation_id":"29757871-5ae6-40ea-9867-58c8ecb047fa","resolution":{"observed_at":"2026-08-06T19:01:43.430257Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.607363Z","title":"Low-light image enhancement via breaking down the darkness,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.607363Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:f2eb6aea7f80ba3ca4340adbf8969bd936b915198e88f6d0c2f76ff2ad0200f9","observation_id":"3cbb2a9b-9dd6-47d2-a067-3031f2d0ca72","resolution":{"observed_at":"2026-08-06T19:01:42.607363Z","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":"2026-08-06T19:01:43.418174Z","title":"Lyt-net: Lightweight yuv transformer-based network for low-light image enhancement,","venue":null,"work_id":"86bd3ca5-d938-496b-8122-fa70a0dcf994","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.610342Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:2eeb0cc8f9121a2cc3f907bb1d60ac8632b453dee66f84e1a31c87811fe0cd56","observation_id":"776b36a7-11dd-45d9-9f33-22ba85c7f7b9","resolution":{"observed_at":"2026-08-06T19:01:43.421382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.04560","last_updated":"2018-08-14T07:20:55Z","snapshot_observed_at":"2026-08-02T03:51:27.789282Z","submitted_at":"2018-08-14T07:20:55Z","title":"Deep Retinex Decomposition for Low-Light Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.04560","snapshot_observed_at":"2026-08-06T19:01:42.612915Z","title":"Deep retinex decomposition for low-light enhancement,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.612915Z"},"links":{"cited_paper":"/paper/1808.04560","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:21e22aaacb587f0988472582ad793e719cb170c99b8569d9705f75becdb8a526","observation_id":"6b899b43-4210-4732-bb2b-6666767f5eec","resolution":{"observed_at":"2026-08-06T19:01:42.612915Z","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":"2026-08-06T19:01:43.408961Z","title":"Uretinex- net: Retinex-based deep unfolding network for low-light image enhance- ment,","venue":null,"work_id":"97c18577-f179-4d58-bc49-e95a1f35f360","year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.615944Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:bdaea340598440a67cff4fdd903bfd83e99b24588d779332bb10cfab3494229f","observation_id":"c005229d-bb20-4dbb-b24d-9985c3ffde9c","resolution":{"observed_at":"2026-08-06T19:01:43.412097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.399999Z","title":"Unsu- pervised low-light image enhancement with self-paced learning,","venue":null,"work_id":"360793d2-2ea6-456a-b405-28db51249071","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.618928Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:160b7b5293bcc186a0aba6848f87f18e797f79d31b87a86b5bc5da5fc5dbdb8a","observation_id":"99d38014-c064-4ec1-853e-528ae8de6177","resolution":{"observed_at":"2026-08-06T19:01:43.403281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.390744Z","title":"Naturalness preserved enhancement algorithm for non-uniform illumination images,","venue":null,"work_id":"e7227a17-6a69-4596-bc33-b9b6a62a48bf","year":2013},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.621617Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:4be6c3931fc9da54ddb4492790fe0b4d0d153b92c54327168da3680fd419d2a6","observation_id":"e4634a0a-c4e7-4d2f-8ed8-706c2079d62b","resolution":{"observed_at":"2026-08-06T19:01:43.394111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.379720Z","title":"A prob- abilistic method for image enhancement with simultaneous illumination and reflectance estimation,","venue":null,"work_id":"25915efb-9627-4121-ae6e-ac29174dedcc","year":2015},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.624418Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:331652d2fb17957ac92be5090c6aa6d5a2fda724817e62b21dedf758bef58433","observation_id":"049f48bc-4493-45ba-8c49-2494949e551e","resolution":{"observed_at":"2026-08-06T19:01:43.383639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.369646Z","title":"Llnet: A deep autoencoder approach to natural low-light image enhancement,","venue":null,"work_id":"0026f35b-0225-49fe-8b8f-a255ef71112f","year":2016},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.627449Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:3b4b155e61e2a649bb69d18292a9247ce677d48916d30aeb88df3fefc4b971e5","observation_id":"b1e393b5-9773-4044-a8c7-3b44c15d4c62","resolution":{"observed_at":"2026-08-06T19:01:43.372869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.359871Z","title":"Low-light image enhancement with multi-scale attention and frequency-domain optimization,","venue":null,"work_id":"97ecd717-fdc6-41a5-b6bf-f1ed8f78eb16","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.630329Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:4f8baf2a6c6a4a44b88a0f2272f8c354622361eb89a925994208ec22fb8f3d61","observation_id":"f4e832cf-b57a-4a46-a195-17559540a20b","resolution":{"observed_at":"2026-08-06T19:01:43.363365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.350285Z","title":"Multiscale low-light image enhancement network with illumination constraint,","venue":null,"work_id":"b2118550-4d72-44af-9917-361ad1ea71c5","year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.633225Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:06de71ca174080559137e8f962d88f77d9926ef07ee43bc822b80c127fd5b2f4","observation_id":"1b6cf361-4287-4374-b48c-bc2dff34f753","resolution":{"observed_at":"2026-08-06T19:01:43.353998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.05923","last_updated":"2021-09-13T12:45:08Z","snapshot_observed_at":"2026-08-04T17:38:40.425374Z","submitted_at":"2021-09-13T12:45:08Z","title":"Low-Light Image Enhancement with Normalizing Flow","version":1},"cited_work":{"arxiv_id":"2109.05923","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.05923","snapshot_observed_at":"2026-08-06T19:01:42.851965Z","title":"Low-Light Image Enhancement with Normalizing Flow","venue":"eess.IV","work_id":"08b48010-718c-487f-9553-23a512002457","year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.635801Z"},"links":{"cited_paper":"/paper/2109.05923","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:45c3ba75c9f89b65732666c211cdd667869c06e85c797c670afdcebcbca27d8f","observation_id":"0f316724-13d9-4eca-a717-069e4338b662","resolution":{"observed_at":"2026-08-06T19:01:42.857070Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.341047Z","title":"Flow learning based dual networks for low-light image enhancement,","venue":null,"work_id":"4e51946c-6084-4fa8-a37d-f511d25fa645","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.639004Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:522c6cf99ddec50590865ca83ed3f14a2d3cde878a4ac34befd30be5e756a9ff","observation_id":"8568671c-0a14-4524-969a-8b434f213773","resolution":{"observed_at":"2026-08-06T19:01:43.344169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.331206Z","title":"Residual-unet generative flow model for low- light image enhancement,","venue":null,"work_id":"1754c25f-252a-46f5-9285-8763a8d0a24b","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.641948Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:43bc433a7ee535a9f55cafa10f2ca354f2d097b07e86fb50144b6cf7bb96179c","observation_id":"8fde2b58-f158-4307-a3f4-ee4605b2ba2b","resolution":{"observed_at":"2026-08-06T19:01:43.334400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.644801Z","title":"Fourllie: Boosting low-light image enhancement by fourier frequency information,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.644801Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:e35d0db23f149624167d87ec0224ccbb53abf2b14fc2358fb920dc61d8b476dc","observation_id":"31a69f6c-abe5-49a8-841d-b044c30338f6","resolution":{"observed_at":"2026-08-06T19:01:42.644801Z","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":"2026-08-06T19:01:42.647883Z","title":"Iterative prompt learning for unsupervised backlit image enhancement,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.647883Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:051fc9651d5a70b04450d9b341e1ef58ac185fcf8776c823a46fddc79829324f","observation_id":"56a2303d-c04c-495b-9b3b-51ff34d1e2f6","resolution":{"observed_at":"2026-08-06T19:01:42.647883Z","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":"2026-08-06T19:01:42.650896Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.650896Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:9383d44652d11ed2b909b5d2912b9ce799e417a65d17846255f71b1e9e48757b","observation_id":"ca50e5be-bcc2-4911-90b6-b1bb2e7f1b8a","resolution":{"observed_at":"2026-08-06T19:01:42.650896Z","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":"2026-08-06T19:01:42.653901Z","title":"Deep high-resolution representation learning for visual recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.653901Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:9750a726bc56d02d9de35eb1d04e46aa68fc54727e2dcb1456f1a3b82e4cab79","observation_id":"b56a35e0-4476-4cad-8951-a32a813d4bf9","resolution":{"observed_at":"2026-08-06T19:01:42.653901Z","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":"2026-08-06T19:01:43.295851Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"aa33f144-72aa-426e-aa54-135b3c9866a0","year":2020},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.656788Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:dbc1b790cf6cc9dbc75c88a2f1147782bd9f317d1584c58d88f2e300261c3443","observation_id":"01040af2-6f45-4203-bdd4-ecae85ad69c7","resolution":{"observed_at":"2026-08-06T19:01:43.299318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.659795Z","title":"Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.659795Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:f1b611ced3f968009cde54b55efc454073228dec87c47e858ac3f5cd557e6dd4","observation_id":"efcf4eb9-8f95-4aab-abdc-5efc96cde254","resolution":{"observed_at":"2026-08-06T19:01:42.659795Z","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":"2026-08-06T19:01:43.279986Z","title":"Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model,","venue":null,"work_id":"2cd70e4b-f9d7-469b-8278-4e3d9b1cab92","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.662586Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:5a4a14b0f5f0ba4730d5c157760c0bad32cd4eb58caeba1253005fe544ef4ecd","observation_id":"ba5386a6-0062-44eb-afa4-581fc7fce139","resolution":{"observed_at":"2026-08-06T19:01:43.283293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10028","last_updated":"2023-05-17T08:15:45Z","snapshot_observed_at":"2026-07-06T15:28:32.440071Z","submitted_at":"2023-05-17T08:15:45Z","title":"Pyramid Diffusion Models For Low-light Image Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10028","snapshot_observed_at":"2026-08-06T19:01:42.665822Z","title":"Pyramid diffusion models for low-light image enhancement,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.665822Z"},"links":{"cited_paper":"/paper/2305.10028","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:716bc70fd2520ba85abd138c33b054a2b69065e1354a71d985535ee791eb1c25","observation_id":"f131df7b-6d89-4f9c-a049-a464acb9af9a","resolution":{"observed_at":"2026-08-06T19:01:42.665822Z","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":"2026-08-06T19:01:43.270207Z","title":"Anligh- tendiff: Anchoring diffusion probabilistic model on low light image enhancement,","venue":null,"work_id":"941d89de-7fe5-4c61-bd7c-0aeef2a07e4f","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.669008Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:e20b8723494476726258fd5b11873e36a6d00016ac0ce46250d35d6deba7c8db","observation_id":"a1a9e610-89fb-4bac-9b00-6be534f994c1","resolution":{"observed_at":"2026-08-06T19:01:43.273355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.261043Z","title":"Multi-domain multi-scale diffusion model for low-light image enhancement,","venue":null,"work_id":"99e73de3-2ff6-4e51-b0c0-56c18351b140","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.672577Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:47780f0e81fa76fe25ba6261987197fa732013625b6b362b0fc6de7d2bcf93fa","observation_id":"ad7bc9d5-f5d8-4e73-a245-c52bfb25c2e0","resolution":{"observed_at":"2026-08-06T19:01:43.264128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.251674Z","title":"Low-light image enhancement with wavelet-based diffusion models,","venue":null,"work_id":"60c9e185-8b53-44f8-ad9b-e0f007bcc1c5","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.675864Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:8549676765ff941c7dfe27daeaca10f236078ed2e64100fb800609826659b84d","observation_id":"26e008cc-7085-48d9-a8b7-e83a439a2c68","resolution":{"observed_at":"2026-08-06T19:01:43.255070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.679081Z","title":"Scaling up visual and vision-language representation learning with noisy text supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.679081Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:15f8da7b334ddc0811d80024d0779c70cd2f0db6403dadaa48c21a72012ca036","observation_id":"386ee6f5-e778-4121-a3aa-a8736e22ba81","resolution":{"observed_at":"2026-08-06T19:01:42.679081Z","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":"2026-08-06T19:01:42.682089Z","title":"Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.682089Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:deb2eff3c3f5e7b9f881671ee97aa4e463f09ddd2bce8d0cbc8d26ee88ef2cb4","observation_id":"811e7bd3-9b30-46a5-8d14-9f3f92718a7a","resolution":{"observed_at":"2026-08-06T19:01:42.682089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.15385","last_updated":"2024-11-16T09:02:05Z","snapshot_observed_at":"2026-08-08T14:26:33.462386Z","submitted_at":"2024-10-20T13:00:24Z","title":"LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.15385","snapshot_observed_at":"2026-08-06T19:01:42.685028Z","title":"Lora-ir: Taming low-rank experts for efficient all-in-one image restoration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.685028Z"},"links":{"cited_paper":"/paper/2410.15385","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:d63802ad4f3deb0f984c9fbd68dbcf6a33b993ea2ff1f21442e74a7290a3d590","observation_id":"d5b0aab4-b236-4c82-a84c-8ec082fe05ff","resolution":{"observed_at":"2026-08-06T19:01:42.685028Z","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":"2026-08-06T19:01:43.228770Z","title":"A hard-to- beat baseline for training-free clip-based adaptation,","venue":null,"work_id":"93442c3b-4591-43ed-bf92-76dbe12daeee","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.688158Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:7f425cff30d595f81b7b3a2059488489c080beb86ade647623fbe3860e377bce","observation_id":"25736ab3-a5c3-4609-9e84-6192dde0e1a6","resolution":{"observed_at":"2026-08-06T19:01:43.232769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.218651Z","title":"Zegclip: Towards adapting clip for zero-shot semantic segmentation,","venue":null,"work_id":"7f5541ac-9ced-4d95-adc2-a907c052fd89","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.691510Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:af4e6ae3ec0f7517a897a21e45ee750cdbe8859af4177b10f1c420c36154ca3a","observation_id":"854f652b-d11a-4c30-a5fc-3593b1fb4305","resolution":{"observed_at":"2026-08-06T19:01:43.221854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.209001Z","title":"Improving zero-shot generalization for clip with synthesized prompts,","venue":null,"work_id":"d93fa110-3475-4fb5-962c-0bed0204e485","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.694509Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:106a3c2e23130dd8d3a79641e5a3af048ed3b082fc980a096daf695bea2a7967","observation_id":"3555b8e4-cab5-4cdd-88ae-b7074c6e7dc8","resolution":{"observed_at":"2026-08-06T19:01:43.212299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01018","last_updated":"2024-02-28T14:28:51Z","snapshot_observed_at":"2026-08-07T05:43:09.653582Z","submitted_at":"2023-10-02T09:10:16Z","title":"Controlling Vision-Language Models for Multi-Task Image Restoration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01018","snapshot_observed_at":"2026-08-06T19:01:42.697231Z","title":"Controlling vision-language models for universal image restoration,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.697231Z"},"links":{"cited_paper":"/paper/2310.01018","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:c966b7f0e1ae2086c8ffff6e28b045351a497babb900076a620839b55f25f0cf","observation_id":"2c657168-e6d9-46fc-914b-1f1fe3e91c3e","resolution":{"observed_at":"2026-08-06T19:01:42.697231Z","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":"2026-08-06T19:01:43.199213Z","title":"Learning a simple low-light image enhancer from paired low-light instances,","venue":null,"work_id":"cfe6d55e-2e30-4158-9621-14f2d359529c","year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.699922Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:aa66a33a9e51abd4b0cc15ac6e50932691549a4612839e0d1effd8e882b51e92","observation_id":"b7de5429-d455-4daa-a5ab-b17f6b2d3392","resolution":{"observed_at":"2026-08-06T19:01:43.202430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.189266Z","title":"The retinex theory of color vision,","venue":null,"work_id":"8178d8c4-fa44-4c83-a779-a74623905a71","year":1977},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.702755Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:fccd29665825350b4ab38acfb41dbe5f2086a30c1aa4fe385eb8eeae6ff51f12","observation_id":"bfc2c970-cbc6-45d6-8874-d5613d8b98bc","resolution":{"observed_at":"2026-08-06T19:01:43.192535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.179420Z","title":"Using color to separate reflection components,","venue":null,"work_id":"0bc8520b-9eb3-41a7-acb3-f7773b527725","year":1985},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.705392Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:0489ac66f181c6fcd4de63be8eb6c8c56aef30a87b1d5f15c871cb30b5f74d37","observation_id":"98547602-745c-45c6-bc21-cd731440cd10","resolution":{"observed_at":"2026-08-06T19:01:43.183076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.708033Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.708033Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:15c90cf6ae5269e3d93729060d861d940379e7943ab217839fc239ad8d7dc797","observation_id":"75c51cfb-003d-4ca9-ba86-052168637b87","resolution":{"observed_at":"2026-08-06T19:01:42.708033Z","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":"2026-08-06T19:01:42.710802Z","title":"Camixersr: Only details need more","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.710802Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:2544b9b0d64304c206b6378e2175bfd061788b5967d91b1b1d511878ec103b5c","observation_id":"ada31de6-e2bf-4f31-ad6f-670cf25ea931","resolution":{"observed_at":"2026-08-06T19:01:42.710802Z","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":"2026-08-06T19:01:43.156732Z","title":"Lyt- net: Lightweight yuv transformer-based network for low-light image enhancement,","venue":null,"work_id":"7400e64f-2f93-4b55-bd0e-25e6281ea79b","year":2025},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.713657Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:7d24e05e823d25edeaef9c5f498a3a536515afed49f00479635081c0c5881fbf","observation_id":"7809e476-557d-4d51-a1c3-95900e214902","resolution":{"observed_at":"2026-08-06T19:01:43.160316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.716350Z","title":"Ultra-high- definition low-light image enhancement: A benchmark and transformer- based method,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.716350Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:93f15362200b49880d2ceaea3676cc9bc2543a23d603b3a88b87bc15bb9a3d7e","observation_id":"13906290-4658-4f09-bdd1-d06a48236683","resolution":{"observed_at":"2026-08-06T19:01:42.716350Z","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":"2026-08-06T19:01:43.131537Z","title":"Fast context-based low-light image enhancement via neural implicit repre- sentations,","venue":null,"work_id":"2b7c5cc3-33ed-4abe-b86e-d9af00468a02","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.721765Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:f175cd7a3d729da31b85ca928ac33479bc5084ced086e36de5dbdebb6a76cce7","observation_id":"16d0ce15-90e1-4b56-8b5e-a89a7513a135","resolution":{"observed_at":"2026-08-06T19:01:43.134890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.121622Z","title":"Zero-ig: Zero-shot illumination-guided joint denoising and adaptive enhancement for low- light images,","venue":null,"work_id":"7f8f83c2-c367-4a78-9a11-d771c435d31b","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.724523Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:61edee921d07a068770de44158f083f5f611ea68edf6f5eaacb729e63ffbf41d","observation_id":"4225a6ae-f293-48d6-93cd-a72ce4fe32df","resolution":{"observed_at":"2026-08-06T19:01:43.124886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.111519Z","title":"Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models,","venue":null,"work_id":"35170936-6de3-48c7-acc3-641674873081","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.727143Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:fd92e01b9964a3fb8b2a16bf4f906ae5646d501739ae234f43af9acf3e4d2946","observation_id":"d73d275d-e779-4768-b0c8-e4580c5f847a","resolution":{"observed_at":"2026-08-06T19:01:43.115222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.729849Z","title":"Sparse gradient reg- ularized deep retinex network for robust low-light image enhancement,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.729849Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:ff85cbdeae05b8bea2e182387ad4ec96d9bc2f758f94fe1bd383adeacb99ca43","observation_id":"7c91f146-7ca5-4e09-84f9-78a59ab3d1aa","resolution":{"observed_at":"2026-08-06T19:01:42.729849Z","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":"2026-08-06T19:01:42.732450Z","title":"Contrast enhancement based on layered difference representation of 2d histograms,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.732450Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:9439b1ded5e3c7c24a31791e2731c66f07eee2930ceb833415b4219520a2e2c3","observation_id":"7525afa6-0cf6-4384-84fa-3d7abb942a42","resolution":{"observed_at":"2026-08-06T19:01:42.732450Z","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":"2026-08-06T19:01:42.735860Z","title":"Lime: Low-light image enhancement via illumination map estimation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.735860Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:1d09868f736df8998b6d1ed585ce67d503c18cc45aa06b938908d5a6bf869900","observation_id":"e03ee5d7-7770-4cce-8b38-a88f5ebe08d4","resolution":{"observed_at":"2026-08-06T19:01:42.735860Z","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":"2026-08-06T19:01:42.738472Z","title":"Perceptual quality assessment for multi-exposure image fusion,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.738472Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:af746dd90ada441b1a46768cfd7773f1a32245417ba72535482e8287f9ba0c23","observation_id":"918e9ba2-8e90-42a9-b5cd-9bb37750a5fc","resolution":{"observed_at":"2026-08-06T19:01:42.738472Z","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":"2026-08-06T19:01:43.077720Z","title":"Naturalness preserved enhancement algorithm for non-uniform illumination images,","venue":null,"work_id":"e205fad0-1fb9-46c7-b842-0d0ad07b8e41","year":2013},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.741801Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:59ee4c3ae912c94533aa05c59caaadb9d5d493fb74e403b9c61a27c6d0f185a5","observation_id":"bf0f96f1-2874-4175-86ce-ef478e060170","resolution":{"observed_at":"2026-08-06T19:01:43.081150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.068283Z","title":"On the evaluation of illumination compensation algorithms,","venue":null,"work_id":"96f4b47b-ada8-46cc-8841-f3a17ca0e40d","year":2018},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.745464Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:4886cb60e5e225fd631c4095e92fa4e9f02a0f3318cf10d0bac5d9b2d037e685","observation_id":"7d915f32-a223-4fa0-ab7e-391fdbc0228c","resolution":{"observed_at":"2026-08-06T19:01:43.071471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.748026Z","title":"Learning a deep single image contrast enhancer from multi-exposure images,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.748026Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:c7fb286a073b0d35be4a915c5430a200697470e9694b0eef8b89efa1f7cae5f6","observation_id":"b126afe7-7afc-4885-baf8-d08bef67976e","resolution":{"observed_at":"2026-08-06T19:01:42.748026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10772","last_updated":"2024-01-01T05:40:17Z","snapshot_observed_at":"2026-07-06T14:33:20.852718Z","submitted_at":"2022-12-21T05:08:37Z","title":"Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10772","snapshot_observed_at":"2026-08-06T19:01:42.751169Z","title":"Low-light image and video enhancement: A comprehensive survey and beyond,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.751169Z"},"links":{"cited_paper":"/paper/2212.10772","citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:a15664c6c11e6fe9652b9ea270b278be2af09e8fbf5af7989d80a2b1710f14a7","observation_id":"e8b1b324-29c6-4a6b-b7ba-9c07930875df","resolution":{"observed_at":"2026-08-06T19:01:42.751169Z","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":"2026-08-06T19:01:43.051919Z","title":"Learning to see in the dark,","venue":null,"work_id":"f3befd3c-5667-419d-8f98-cdce811084d6","year":2018},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.754125Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:969ce510950409d35936aa7e33d00980f26a75ef81a1df7bea5c6a183ab70140","observation_id":"3bcaad0e-9dee-4646-b159-314448be2966","resolution":{"observed_at":"2026-08-06T19:01:43.055774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.756926Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.756926Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:dc5d77b013b7f75eefe88a7791777b58d096a79753a004126fe7ed7236cb0464","observation_id":"fdba528d-8a72-4d0c-a10e-e04f82d6fe6e","resolution":{"observed_at":"2026-08-06T19:01:42.756926Z","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":"2026-08-06T19:01:43.035971Z","title":"Sgdr: Stochastic gradient descent with warm restarts,","venue":null,"work_id":"08ad6950-259e-4dd4-b4c5-9018c330255b","year":2017},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.759744Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:bab93ef37648e4549231ecd27a3c9643fc7b548f8f2191e65eaf03c01cd32493","observation_id":"4e152b1c-0a97-4fa2-934a-e4da7081b969","resolution":{"observed_at":"2026-08-06T19:01:43.039261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.762470Z","title":"Image quality assess- ment: from error visibility to structural similarity,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.762470Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:8e1b41c08de20c3560f43e856082bf686ee4e0823696aa1a1d2ed553d433575b","observation_id":"ccac2af8-b079-4643-b010-769b6f717fc8","resolution":{"observed_at":"2026-08-06T19:01:42.762470Z","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":"2026-08-06T19:01:42.764977Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.764977Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:3d0857446d6cf119f96afa303221b26e317c04657f53763a371ee972f32a81af","observation_id":"feaf0bb6-2f5d-49f1-9cbe-3909874506ba","resolution":{"observed_at":"2026-08-06T19:01:42.764977Z","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":"2026-08-06T19:01:43.010215Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":"9044f914-398b-491b-9f17-1af99c91cc8f","year":2012},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.768034Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:939d739ab5e87a6fcb1689fe19a942fdc95f3344bbd3b603b4f152a1e67522dd","observation_id":"25e6686d-8c77-480a-a973-dc157c8ee591","resolution":{"observed_at":"2026-08-06T19:01:43.013537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.771176Z","title":"No-reference image quality assessment in the spatial domain,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.771176Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:a1faf9f4e0b6cca5e2e25c9338fa19816265bffe58941d8e050e393dadf9794c","observation_id":"03529a41-2bdb-43e8-9775-0d0b60bf6096","resolution":{"observed_at":"2026-08-06T19:01:42.771176Z","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":"2026-08-06T19:01:42.991601Z","title":"Making a “completely blind","venue":null,"work_id":"b682c60d-2264-4d57-8371-62eeb461c835","year":2013},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.773838Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:e5f0eb5d92eaea513f80b9e1db35274f8212d4bb68f392657ab247f979be0c6f","observation_id":"d8b4cb1b-3763-4abb-a21c-738558439ae2","resolution":{"observed_at":"2026-08-06T19:01:42.994803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.981094Z","title":"Lednet: Joint low-light enhancement and deblurring in the dark,","venue":null,"work_id":"8a9d49df-3901-4c15-9754-150556b0f14f","year":2022},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.776663Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:75b1eea2ae703a3dab5dcffb3f4aef47d7f437b5c67d521adf2162894d5a7dab","observation_id":"cbf2a1ba-9342-4b05-9700-89bb28046fb2","resolution":{"observed_at":"2026-08-06T19:01:42.984505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:43.141167Z","title":"Global structure- aware diffusion process for low-light image enhancement,","venue":null,"work_id":"c83b2c5a-e1db-4482-8b6f-e408b4638fe8","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.779582Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:5a005e71d9aa9a8ed8a23f27b56ad9bc7b80275e033a727ec37577e746f00690","observation_id":"eed43597-8b34-4eb8-9a40-e9496b46bdb3","resolution":{"observed_at":"2026-08-06T19:01:43.144444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.970765Z","title":"Difflight: Integrating content and detail for low-light image enhancement,","venue":null,"work_id":"3e513e55-cc85-495c-bdea-b17d6ce1deb3","year":2024},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.782417Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:fb1bdf785524ffc2fbc45a49f278a8fc8777bfed3aadc59832832c323f5061f5","observation_id":"081d71dd-cf4f-48c5-8081-cf48c6b853ab","resolution":{"observed_at":"2026-08-06T19:01:42.974110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:01:42.961271Z","title":"Retinex- inspired unrolling with cooperative prior architecture search for low- light image enhancement,","venue":null,"work_id":"5c67c190-314c-45de-9239-8a5b617c2628","year":2021},"citing_paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:42.785119Z"},"links":{"citing_paper":"/paper/2507.06814"},"observation_digest":"sha256:a0c10001e581657bb840887b2fe42ef61788717a537089f892e5c7ebfb2111c7","observation_id":"eb02e3e5-a88c-41bf-8c06-9e3317e219c4","resolution":{"observed_at":"2026-08-06T19:01:42.964547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.06814","last_updated":"2025-07-09T13:03:34Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T14:27:13.518698Z","submitted_at":"2025-07-09T13:03:34Z","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement"},"reference_resolution":{"displayed":83,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":1,"verified_fuzzy":50},"total_outbound_references":83},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 3 inbound Pith citation observations for arXiv:2507.06814."}