{"as_of":"2026-08-17T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c865242cbcf5b1241d4be886b8efc9ad2951a71ce27b1f9203f10806856b68b","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T18:14:25.963217Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.11515/citation-record","integrity":"/paper/2501.11515/integrity","json":"/paper/2501.11515/citation-record.json","paper":"/paper/2501.11515"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:14:25.674356Z","title":"Learning a deep single image contrast enhancer from multi-exposure images","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.674356Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:d32fa10e8de7c12d6bf91c2b49c8fa4e66fc44bf9818fb859b31eadf42009cea","observation_id":"65fe9dda-c3de-486b-ad1a-b45397e79dfe","resolution":{"observed_at":"2026-08-10T18:14:25.674356Z","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":"2026-08-10T18:14:27.120433Z","title":"Unsu- pervised HDR image and video tone mapping via contrastive learning","venue":null,"work_id":"6135846f-a425-4c06-b737-ed8762a94d7c","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.679117Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:728849d8598ac98a4f7c717255262a3c4181b4a90542b7d5d0bb486aefe67399","observation_id":"6c1d0827-9bc8-45e9-b301-2bd8ac50ff60","resolution":{"observed_at":"2026-08-10T18:14:27.125520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:27.107686Z","title":"Attention-guided progressive neural tex- ture fusion for high dynamic range image restoration","venue":null,"work_id":"00140ed4-d1c2-4ab7-bd4a-afae03c9393e","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.683092Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:b4fd3dbe6ac04b852b377e070b128d1927c431b6b292cea30e27b4bf4a6a7f29","observation_id":"0139095c-8e3f-48b6-b8a0-9cc4f1786149","resolution":{"observed_at":"2026-08-10T18:14:27.111591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:27.094847Z","title":"Anydoor: Zero-shot object-level im- age customization","venue":null,"work_id":"6be9b2f5-294e-42cf-b3cd-8114717e1912","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.687788Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:ffd3ce6affaf3598cf37ec7179efd097198e4b67c42d63e44c20af23c6e99736","observation_id":"b8ebf838-74f5-4865-90e0-fd025734a9c6","resolution":{"observed_at":"2026-08-10T18:14:27.099807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:27.080909Z","title":"Latentpaint: Image inpainting in latent space with diffusion models","venue":null,"work_id":"69d480d6-10f4-487a-a19b-ff7daf924eef","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.691941Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:9b139e2f0c092b71a9638f0d258c289b5b2580363ffe9ec96ce75aec193d4a0e","observation_id":"5368de3a-f3f7-4707-8b77-1a3ead3e050b","resolution":{"observed_at":"2026-08-10T18:14:27.085054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.695784Z","title":"Seman- tic aware diffusion inverse tone mapping","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.695784Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:93cba0e371538d3f9a2b8c794a8b53afdfd117a3142c365c8dc16562a6687994","observation_id":"7e3efdb3-8f31-40f1-bb09-d7fd57f04414","resolution":{"observed_at":"2026-08-10T18:14:25.695784Z","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":"2026-08-10T18:14:27.064946Z","title":"Determining the camera response from images: What is knowable? IEEE Transactions on pattern analysis and machine intelligence , 25(11):1455–1467, 2003","venue":null,"work_id":"b91926a6-6e1a-44d9-a569-ca046ec6be87","year":2003},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.699512Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:592213de4c7c76158538707cf169ccff139e1fbbd918a39443b97d244b0343f0","observation_id":"7ec1129e-6eb5-48c3-861f-e1f84a46e9fa","resolution":{"observed_at":"2026-08-10T18:14:27.070201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08204","last_updated":"2024-06-12T13:38:10Z","snapshot_observed_at":"2026-08-16T13:43:45.381659Z","submitted_at":"2024-06-12T13:38:10Z","title":"Diffusion-Promoted HDR Video Reconstruction","version":1},"cited_work":{"arxiv_id":"2406.08204","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.08204","snapshot_observed_at":"2026-08-10T18:14:26.221837Z","title":"Diffusion-Promoted HDR Video Reconstruction","venue":"cs.CV","work_id":"7d46a35a-5a71-4eb7-878c-92758b3c60dc","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.703045Z"},"links":{"cited_paper":"/paper/2406.08204","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:4f7adf682adb1238963bfbb4cd70e3f5f010208daa06d947b0ba243706a76caf","observation_id":"55279aa9-c5dc-4e4b-a845-e7f4012c3a65","resolution":{"observed_at":"2026-08-10T18:14:26.228309Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:27.052184Z","title":"Burst photography for high dynamic range and low-light imaging on mobile cameras","venue":null,"work_id":"c7f40471-2925-4591-b42d-3e645b15d731","year":2016},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.707206Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:7f7aea3e993a6bd205a396e87663efbf6056a8a459acfb3501129b37d1e08b51","observation_id":"332540d2-6555-461e-bcd5-5c74a45a5e06","resolution":{"observed_at":"2026-08-10T18:14:27.056419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.711274Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.711274Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:ebfc95fbf75bea8f1a847a6ab334ec25430dea792061e8b602b169ac1f10d46f","observation_id":"fad3369f-81a2-45ba-b9c8-b25a3af13e43","resolution":{"observed_at":"2026-08-10T18:14:25.711274Z","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":"2026-08-10T18:14:27.030246Z","title":"Joint multi- scale tone mapping and denoising for HDR image enhance- ment","venue":null,"work_id":"dbad9862-876c-47f7-87cc-7cb1d841e3cb","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.714909Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:00abb1404bd51a75d3444909d7784019d1728b9cee984668df2746e49fa79f93","observation_id":"093d22fc-2d7f-4cd1-9443-fe805b8782e0","resolution":{"observed_at":"2026-08-10T18:14:27.034885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:27.016796Z","title":"Gen- erating content for HDR deghosting from frequency view","venue":null,"work_id":"fe6b63b8-306d-4b5f-ac63-7b9993f775b1","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.719196Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:1678ac57a6775fc3f7c90faad80e63cd315d22f2724292cf9ccf5959de490037","observation_id":"55a3aac5-303e-4685-8d1e-d272be7a263a","resolution":{"observed_at":"2026-08-10T18:14:27.021878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:27.002874Z","title":"Meflut: Unsupervised 1d lookup ta- bles for multi-exposure image fusion","venue":null,"work_id":"3ef08f7a-cd21-4c57-87f1-d55da31c499d","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.722766Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:9b960ce324224b320ac41fd42de5a252fca2e4fa9595dc737a8eed5745bc7e65","observation_id":"e888c126-5c4b-4dee-92e8-4f8d863187a2","resolution":{"observed_at":"2026-08-10T18:14:27.007564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06976","last_updated":"2024-03-11T17:59:31Z","snapshot_observed_at":"2026-08-16T14:10:51.834487Z","submitted_at":"2024-03-11T17:59:31Z","title":"BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06976","snapshot_observed_at":"2026-08-10T18:14:25.726421Z","title":"Brushnet: A plug-and-play image inpaint- ing model with decomposed dual-branch diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.726421Z"},"links":{"cited_paper":"/paper/2403.06976","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:0cbb346f6a8b48db456a4806578aac0d44e5c34a9eede90c9045249cd4e25b6b","observation_id":"72d597d8-82f7-4d3f-921f-85475bc7bc3f","resolution":{"observed_at":"2026-08-10T18:14:25.726421Z","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":"2026-08-10T18:14:26.989586Z","title":"Deep high dynamic range imaging of dynamic scenes.ACM Trans","venue":null,"work_id":"8b0edffb-10cd-4671-bd63-dc06fa6f9b1f","year":2017},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.730308Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:1c6967808c59fdee819c4f77f9168f0b7845ea2706e27b3d24c36803b36d343f","observation_id":"d3b5bc88-84e2-42d1-8b46-df0d461b536f","resolution":{"observed_at":"2026-08-10T18:14:26.993960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.733883Z","title":"Musiq: Multi-scale image quality transformer","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.733883Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:6b6cff1f47471abbb3a21ddf12706ec8b69fb68e970ee6af6d2d961afd986af9","observation_id":"89a2ab52-a404-41a5-a81f-539249ae2b17","resolution":{"observed_at":"2026-08-10T18:14:25.733883Z","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":"2026-08-10T18:14:26.967239Z","title":"Safnet: Selective alignment fusion network for efficient HDR imaging","venue":null,"work_id":"f12ae055-6d2b-4ad1-9caa-afe93a7f1498","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.737352Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:a8029fa88d367c23e1fac6a2dff53e242412254f9ba71b162f072726a46040c6","observation_id":"5977d50c-55ef-4882-8b62-cddc70661a12","resolution":{"observed_at":"2026-08-10T18:14:26.971211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09389","last_updated":"2024-06-13T17:58:40Z","snapshot_observed_at":"2026-08-16T17:07:18.340453Z","submitted_at":"2024-06-13T17:58:40Z","title":"Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09389","snapshot_observed_at":"2026-08-10T18:14:25.741739Z","title":"Sa- giri: Low dynamic range image enhancement with genera- tive diffusion prior","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.741739Z"},"links":{"cited_paper":"/paper/2406.09389","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:9f8af993b31cd7b7a7507566ea05258bfd11fe73b4fdb66e494ea31632e9a42f","observation_id":"b64b17b7-921d-4323-9a60-0ead8815eb17","resolution":{"observed_at":"2026-08-10T18:14:25.741739Z","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":"2026-08-10T18:14:26.952418Z","title":"Fast multi- scale structural patch decomposition for multi-exposure im- age fusion","venue":null,"work_id":"931acf3b-70b7-459a-8917-222d8f8be8cd","year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.745601Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:02958e4a78049202b218471d1ddb78af439cb5e20f6e7854a8e40cf341ba406f","observation_id":"a650d3ef-13ca-4c84-b9e4-d8bc9ff76ff8","resolution":{"observed_at":"2026-08-10T18:14:26.957689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.939614Z","title":"Selectively detail-enhanced fusion of differently exposed im- ages with moving objects","venue":null,"work_id":"15a273b9-0e8a-4c1c-815a-a6a1a8c0564b","year":2014},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.749588Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:cde4cc0d07721a137d82a682729bd6a0fe12e0f5f332d3186adc48c7f42f9e8b","observation_id":"08b00b8f-6731-4ed6-9ec0-2c391592fc3a","resolution":{"observed_at":"2026-08-10T18:14:26.943824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.928183Z","title":"Detail-enhanced multi-scale exposure fusion","venue":null,"work_id":"4b4c28f3-e0a2-4dc4-981a-42efb4bd1e08","year":2017},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.753948Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:39f38f01571371345b5269f5463870cc85107f8d03ec7803a4d3c6d217f9aa40","observation_id":"c0117bc0-4c3c-4cb2-bae1-64b804393d75","resolution":{"observed_at":"2026-08-10T18:14:26.931980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.916097Z","title":"Fusion from decomposition: A self-supervised decomposi- tion approach for image fusion","venue":null,"work_id":"462f5144-4090-48b6-892e-3a7f33731f6a","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.757492Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:91a6568a0af78c7f28d8962406bd6d8e2d4d19d77ad4cc5c95e8294f7fce878d","observation_id":"9ba7d06d-7796-4eb4-821e-736f65f1c8a0","resolution":{"observed_at":"2026-08-10T18:14:26.920781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15070","last_updated":"2024-04-12T05:26:59Z","snapshot_observed_at":"2026-08-16T15:05:03.053812Z","submitted_at":"2023-08-29T07:11:52Z","title":"DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15070","snapshot_observed_at":"2026-08-10T18:14:25.760934Z","title":"Diff- bir: Towards blind image restoration with generative diffu- sion prior","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.760934Z"},"links":{"cited_paper":"/paper/2308.15070","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:2c18f1ddfdcc4c98a5af01608d10f1370d06b4b8fa45c6c6395cd8e6e06d6ccb","observation_id":"99bb1acb-0f9e-4b81-a081-70e7684c9dce","resolution":{"observed_at":"2026-08-10T18:14:25.760934Z","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":"2026-08-10T18:14:26.902908Z","title":"Emef: ensemble multi- exposure image fusion","venue":null,"work_id":"8e9478ea-63f0-4a12-9c7f-ba165e7be0dc","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.764766Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:f1d2e0d3d113ee1ba2974113b3387a5e7e829a0e5c7fb46d8c68770339b4ec0e","observation_id":"f348eb8c-900e-4b38-b91b-cc9faa83a34f","resolution":{"observed_at":"2026-08-10T18:14:26.907313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.889396Z","title":"Diff-plugin: Revitalizing details for diffusion-based low-level tasks","venue":null,"work_id":"fd4e665d-37c4-4ba2-91d1-e8ef0cab7fc9","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.769207Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:742e09008bcaa9dcf7784542e1e22ffb1c17e58e2f66471758c688115fbdfacc","observation_id":"ac809bfd-bf7b-45ba-ac87-eeb3e1b140fe","resolution":{"observed_at":"2026-08-10T18:14:26.893993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.875691Z","title":"Ghost-free high dynamic range imaging with context-aware transformer","venue":null,"work_id":"9334bcda-9e91-446e-87c4-19de65ca7f8a","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.773581Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:5a30001e9e116933cb7a5322587b18f1a4f14d60fd8b9115bc03cc0e50efbff5","observation_id":"156557e6-91ab-459b-ae21-ec0f134df615","resolution":{"observed_at":"2026-08-10T18:14:26.880490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.856387Z","title":"Ghost-free high dynamic range imaging with context-aware transformer","venue":null,"work_id":"2b8ed917-9f07-4c04-abe1-40d8beaaf6f9","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.777858Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:e942d8a76ad2a76028801d51e731992c69bc1c1e4ffcf60594bd9c69646ad145","observation_id":"44ec805d-86e7-4444-adbe-2179a1d396ac","resolution":{"observed_at":"2026-08-10T18:14:26.861781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.840325Z","title":"Unsupervised optical flow estimation for dif- ferently exposed images in ldr domain","venue":null,"work_id":"33298557-dbd9-4cb8-b10d-f16baffc3647","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.781895Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:769d8750b80de5d0f5e6f01dfa61e49722bdf1827f5ab3229eaaaaec979da7c0","observation_id":"a8ecad3b-7225-42d2-8017-e66a864c1887","resolution":{"observed_at":"2026-08-10T18:14:26.844814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.785421Z","title":"Repaint: Inpainting using denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.785421Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:81c8f85b16de466873d8c809cc456732c499af4680a34c6de1e34f65480bd4b7","observation_id":"489f1dca-dc59-40ce-ad36-e4c9995f08ce","resolution":{"observed_at":"2026-08-10T18:14:25.785421Z","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":"2026-08-10T18:14:26.814354Z","title":"Perceptual quality assessment for multi-exposure image fusion","venue":null,"work_id":"77927b35-6f7b-4708-a90c-3848c7d1b062","year":2015},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.788938Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:483a585444a7b1c5f351cb5d20b17bc1e83d386153b4242654884a057d891977","observation_id":"37d60f25-0a29-4918-8ab8-6dde2e78cb40","resolution":{"observed_at":"2026-08-10T18:14:26.819227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.794335Z","title":"Robust multi-exposure image fusion: a struc- tural patch decomposition approach","venue":null,"work_id":"a9fc718e-eaa7-48d1-ae23-1f7fff773f1b","year":2017},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.792628Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:341fb90c2101bf00d7fe860312b4951202709aaf46c2456f29c465494329c49e","observation_id":"9d5a45d2-7c50-4811-9fe0-c1652a1aefdb","resolution":{"observed_at":"2026-08-10T18:14:26.801723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01073","last_updated":"2022-01-05T00:07:35Z","snapshot_observed_at":"2026-08-16T16:53:14.231987Z","submitted_at":"2021-08-02T17:59:47Z","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01073","snapshot_observed_at":"2026-08-10T18:14:25.796265Z","title":"Sdedit: Guided image synthesis and editing with stochastic differential equa- tions","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.796265Z"},"links":{"cited_paper":"/paper/2108.01073","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:25bb702b6745df38ad8e28c0f666d50ec21089c04532daadb485c14fcf36a4ba","observation_id":"e091cb7b-fe2c-4a40-8dae-e64d34ad9f4a","resolution":{"observed_at":"2026-08-10T18:14:25.796265Z","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":"2026-08-10T18:14:26.779325Z","title":"Exposure fusion","venue":null,"work_id":"f443775d-f476-45e2-ad86-7250658a7976","year":2007},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.802048Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:6ac2f156e93e467c0fa2be92536197e7d824623cefbd91b78e2d46ac6a59af36","observation_id":"75beb7e7-58cd-4ad7-8763-314226c57626","resolution":{"observed_at":"2026-08-10T18:14:26.785695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.759278Z","title":"Restoring vision in adverse weather conditions with patch-based denoising dif- fusion models","venue":null,"work_id":"99892c82-315b-4f5e-950e-f0c7b0e39c4e","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.805874Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:286903149afbb046fa2157dedd928dd3777b85dece446863f64c14b84ec0d385","observation_id":"b74f1b38-7e57-49ea-803d-694b2c19a18e","resolution":{"observed_at":"2026-08-10T18:14:26.766745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.740077Z","title":"Commercially-available hdr processing soft- ware","venue":null,"work_id":"f384115d-500a-4d1f-8522-93458ac5de07","year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.809493Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:e3b1ce64101907191b90203ccffc1f4f6f61c1f4cddada522e6f660b2f741737","observation_id":"6d196e2d-42d9-43f3-91d2-26ec18390831","resolution":{"observed_at":"2026-08-10T18:14:26.744998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.722872Z","title":"A fast, scalable, and reliable deghosting method for extreme exposure fusion","venue":null,"work_id":"956a0740-6c6b-4d37-8e9a-886d1b0e8e83","year":2019},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.813448Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:2438b2ff8b6141f1f3e1704e639a127efb03fdb9042d46fa75a3798486409143","observation_id":"e4f57669-b0ea-420d-befe-5ed8b47bb85c","resolution":{"observed_at":"2026-08-10T18:14:26.727627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.708912Z","title":"Towards practical and efficient high-resolution HDR deghosting with cnn","venue":null,"work_id":"228c0060-497e-4f0b-b44a-4e04f6cbd1d3","year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.816966Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:9b1e23ea95f21b1f0bdef2ce7017d48351ea9fb8aad31c8908c3be8bee4f00de","observation_id":"c4518e59-5a20-4017-98ac-0be0a3c8cdff","resolution":{"observed_at":"2026-08-10T18:14:26.713963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.693577Z","title":"Deepfuse: A deep unsupervised approach for exposure fu- sion with extreme exposure image pairs","venue":null,"work_id":"1a2aca0f-1121-4525-b6ab-ea88bf77d1f4","year":2017},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.821183Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:82eccb284f9bf6a0d76f3c26b3dc0b00e2b989a60c00a1f647822787c928e5b3","observation_id":"cc02d4fe-54f2-4b03-9a34-afddad1499fe","resolution":{"observed_at":"2026-08-10T18:14:26.699330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.677500Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"4fe52850-3e4c-4e23-866b-7391771ba7a0","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.824495Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:1a86cfa4d2d130f8dd5eade3c12ae99c5fced739ae8346e8dbfa190ac1b965a5","observation_id":"e8e791a5-d142-4467-bbb3-3e79346a141f","resolution":{"observed_at":"2026-08-10T18:14:26.682617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.662297Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"1682169a-c2d4-40bd-91cc-bca5bf5fbb4e","year":2022},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.828385Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:7a1dd7e55fdf17cac111794a0da58baa0505fc7bc02f0dccb2f407003f6d39d1","observation_id":"9bd23927-c98f-4056-af36-531a089289cc","resolution":{"observed_at":"2026-08-10T18:14:26.667902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.832111Z","title":"Dragdiffusion: Harnessing diffusion models for interactive point-based image editing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.832111Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:9abb81241826bfb6dd87cab7fc571def4a7a9a0f55a8bffc019703ad2c55bfc3","observation_id":"9544d9b2-8c67-4327-bdd2-f1f8b72fd72b","resolution":{"observed_at":"2026-08-10T18:14:25.832111Z","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":"2026-08-10T18:14:26.638515Z","title":"Towards real-world HDR video reconstruc- tion: A large-scale benchmark dataset and a two-stage align- ment network","venue":null,"work_id":"6772df89-d2e9-4071-b7b5-4f86ccb04de1","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.835760Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:c3049f4dc3817fb2f16b845f614c0d3916719a8fa6b3360932cf6808a78ae706","observation_id":"f48d29a2-1353-45c5-96a5-7238ce6597de","resolution":{"observed_at":"2026-08-10T18:14:26.643249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.622828Z","title":"Selective transhdr: Transformer-based se- lective HDR imaging using ghost region mask","venue":null,"work_id":"4f609d87-d9dd-4018-a213-8f07bc40b60e","year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.839451Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:b3753dbd1c58be5fac700c869188d4580a20438a7c3fb53024762aa686f2daac","observation_id":"d9999dae-b5a1-4e45-a08a-9f4c00e67c91","resolution":{"observed_at":"2026-08-10T18:14:26.627244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.843544Z","title":"Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.843544Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:f584cf16e502e68a93c6afde6db43a61400d250deb2274f783f079770f17b5b6","observation_id":"89cfc94d-4b0c-4d53-8c22-b5058b688e0e","resolution":{"observed_at":"2026-08-10T18:14:25.843544Z","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":"2026-08-10T18:14:25.847378Z","title":"Raft: Recurrent all-pairs field transforms for optical flow","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.847378Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:2f18093b6c1ebb9c8672918260c1d3de1b5aa316983f9a66c691d5bb456f035f","observation_id":"37a016d2-10a7-493f-b3f7-ce2e9d726f9d","resolution":{"observed_at":"2026-08-10T18:14:25.847378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18135","last_updated":"2023-09-28T17:34:34Z","snapshot_observed_at":"2026-08-16T15:28:38.595491Z","submitted_at":"2023-05-29T15:03:23Z","title":"Alignment-free HDR Deghosting with Semantics Consistent Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18135","snapshot_observed_at":"2026-08-10T18:14:25.851148Z","title":"Alignment-free HDR deghosting with semantics consistent transformer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.851148Z"},"links":{"cited_paper":"/paper/2305.18135","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:c1da6abeb9e93789a8bfec3f40993c083aba5dd58c121eb807b47ba4014a3adf","observation_id":"cb047919-e6f9-4dde-b66f-515c98952651","resolution":{"observed_at":"2026-08-10T18:14:25.851148Z","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":"2026-08-10T18:14:26.591414Z","title":"Alignment-free HDR deghosting with semantics consistent transformer","venue":null,"work_id":"b5cae6e7-9f15-4777-a061-b01d6f9032bb","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.855985Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:be84e115eb1dcb3493ded4452bdce255f8e510e887782d57ac7cfb7341891a39","observation_id":"0a18c972-af60-44f4-a49f-cc0ea535feca","resolution":{"observed_at":"2026-08-10T18:14:26.596908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.576641Z","title":"Unpaired learning for high dynamic range image tone mapping","venue":null,"work_id":"a56f08a4-7218-4311-8a22-6da1b39dc3f4","year":2021},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.860276Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:05e80c0b35bb5192b921b569c7df81811e9a003a31afbcac91744977606f167a","observation_id":"43d3313a-2eb9-4874-ab7c-409de3f1767b","resolution":{"observed_at":"2026-08-10T18:14:26.581437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.561370Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":"3102a58b-49bd-4397-8df6-013047c00854","year":2004},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.864444Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:529863232ff76ee6f40c66da3dcebcbc073635a6b3458976e4c312deaed868b9","observation_id":"9c20e28e-d383-4f63-a0ef-c67a36cdd96e","resolution":{"observed_at":"2026-08-10T18:14:26.566774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.548243Z","title":"L-cad: Language-based colorization with any-level descrip- 10 tions using diffusion priors","venue":null,"work_id":"b09e3219-3794-4039-9d54-f2d41468fee3","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.867934Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:3e220487b6564bbe1c9f149bbdfb9a78c666c4ebd4e1395e3c71550aee0fb179","observation_id":"e63767c8-6865-4968-8c69-7d36333d660f","resolution":{"observed_at":"2026-08-10T18:14:26.552493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.536644Z","title":"Hybrid-supervised dual-search: Leveraging automatic learning for loss-free multi-exposure image fusion","venue":null,"work_id":"d1e7e514-ab45-4410-b80a-16a81147875f","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.872130Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:e2ab2d082278e4bc4f46b347aff3541d4c1cf24237c05f6fa3c682b9cc24d67e","observation_id":"aabbb97d-b53f-4240-b8cd-ef5adac0a4c3","resolution":{"observed_at":"2026-08-10T18:14:26.540405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.522893Z","title":"Deep high dynamic range imaging with large foreground motions","venue":null,"work_id":"3a40538a-d7f4-45ef-9db3-ebaca5467f38","year":2018},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.876267Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:5c8448b74b23b327503f0b98a642c9bdc0ff305455a7846a87870441e97870f7","observation_id":"b36726dc-2a2b-4eae-8a00-cb4989eb81f9","resolution":{"observed_at":"2026-08-10T18:14:26.527217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.879759Z","title":"Smartbrush: Text and shape guided object inpainting with diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.879759Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:7665c61675feca595f2ff8c33d36a90f8a365abc1f29bf7b21e07d422bdc9481","observation_id":"2425f8c1-fcde-48ea-9aa0-0ded3ae2cf9b","resolution":{"observed_at":"2026-08-10T18:14:25.879759Z","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":"2026-08-10T18:14:26.500911Z","title":"Hdrflow: Real-time HDR video reconstruction with large motions","venue":null,"work_id":"59c7bab2-30ea-44c8-9cba-a3466adc2d43","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.883165Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:9dc1b12b02cf5e6161143372205539dfe9ba418157d691b479875d9d1f1dfd79","observation_id":"039f2618-4c8b-46a4-b243-b557b2fe45f5","resolution":{"observed_at":"2026-08-10T18:14:26.505896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.487407Z","title":"U2fusion: A unified unsupervised image fusion net- work","venue":null,"work_id":"913cf579-2976-4e2c-b447-3027b161474b","year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.886415Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:6fda031d395c078596103786f622d9f05a59623f581e018ab15e0a3f0f859739","observation_id":"da018fb4-ed9e-42a6-8689-cf6409ad517e","resolution":{"observed_at":"2026-08-10T18:14:26.492133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.475000Z","title":"Mef-gan: Multi- exposure image fusion via generative adversarial networks","venue":null,"work_id":"640390c5-26e3-450a-8cba-42457671be83","year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.890588Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:55f1032fa5db134176b72de35e9cd2142e43f90a7d9df3cdf95d6b425b6c98a1","observation_id":"92f48aae-3668-4b5d-b189-d2dddac45ecd","resolution":{"observed_at":"2026-08-10T18:14:26.479170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.895170Z","title":"Gmflow: Learning optical flow via global matching","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.895170Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:adcacc301ff3ff9eb9533241f645b70a0bbf6a85fb565dfb80d9e0254b0545ca","observation_id":"dc2eb1d3-195f-47c6-9a56-34f811fd82e6","resolution":{"observed_at":"2026-08-10T18:14:25.895170Z","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":"2026-08-10T18:14:25.898906Z","title":"Video enhancement with task-oriented flow","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.898906Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:04cdf059829493b529786002e994d571b2a424ecd93f3ef62aa136656a350614","observation_id":"17c571dc-ad14-4cf1-a3d4-704137b8a93d","resolution":{"observed_at":"2026-08-10T18:14:25.898906Z","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":"2026-08-10T18:14:26.446840Z","title":"Attention- guided network for ghost-free high dynamic range imaging","venue":null,"work_id":"7647928b-79c2-4c4c-99f0-5b42dcd52091","year":2019},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.902549Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:45fc30d0a89c8dc8fe9a0e32910777406801f571eb35b7d0dda8440502ec0725","observation_id":"71e9c5b9-399f-41bd-9e14-7602ab3e068a","resolution":{"observed_at":"2026-08-10T18:14:26.451441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.434045Z","title":"Deep HDR imaging via a non- local network","venue":null,"work_id":"baed6714-5962-4a6d-a01f-ad75f30b0074","year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.906842Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:7f112c0e2941e6e2698c84aa172c0572d7d528239f9b0caa95a79521fc313cdf","observation_id":"dbda0fb4-2f07-412d-a26e-e6048e83c3c5","resolution":{"observed_at":"2026-08-10T18:14:26.437780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.422133Z","title":"Towards high- quality HDR deghosting with conditional diffusion models","venue":null,"work_id":"1539f115-dbb7-46f2-a950-00e5a6cbfc86","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.911289Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:93ba13f4f0cb550d3ae7efa6587f1dcd62e238fce83362b1049f15ce2516a115","observation_id":"ae1b397b-f910-4214-ae44-bbb28758e9c2","resolution":{"observed_at":"2026-08-10T18:14:26.425888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06721","last_updated":"2023-08-13T08:34:51Z","snapshot_observed_at":"2026-07-06T16:05:39.158819Z","submitted_at":"2023-08-13T08:34:51Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06721","snapshot_observed_at":"2026-08-10T18:14:25.915309Z","title":"Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.915309Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:c6aebf6655c5c5a10d9dd9639635d8865df7cf3c3a31c31cc15bd9a35554c927","observation_id":"180f84c0-57cf-4981-b16b-31827414a8fd","resolution":{"observed_at":"2026-08-10T18:14:25.915309Z","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":"2026-08-10T18:14:26.411163Z","title":"Objective quality as- sessment of tone-mapped images","venue":null,"work_id":"fcff280f-6a35-4e91-b372-65ba959313d3","year":2012},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.919617Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:5990d5aa908f4148b422e7122d1b83e3bcac134a73f6f530d4bab5ad8da9fea2","observation_id":"fe047de5-b298-4b6f-a480-a507fc3dcc1d","resolution":{"observed_at":"2026-08-10T18:14:26.415038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.923316Z","title":"From patches to pictures (paq-2-piq): Mapping the perceptual space of pic- ture quality","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.923316Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:5d0a37eb306ac7e38cf41878e6f9baad17d28bb5ac617dac6bcba40573b528aa","observation_id":"4c1de019-1470-4d74-8e1c-acbebbff33e7","resolution":{"observed_at":"2026-08-10T18:14:25.923316Z","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":"2026-08-10T18:14:25.927321Z","title":"Teaching large language models to regress accurate image quality scores using score distribution","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.927321Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:4a3c228e68d45e15a3d297cb8b48abad8008fb3d78859c418d2d48fc2c0c5e68","observation_id":"b2bf056c-d125-4d20-b695-00c795795eb9","resolution":{"observed_at":"2026-08-10T18:14:25.927321Z","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":"2026-08-10T18:14:26.392117Z","title":"Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild","venue":null,"work_id":"97dec1a5-5103-472b-a1c9-6b66e8669244","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.931038Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:22f31957d8f104f5816562c2c30b7957610764e80398f6a506fcaf59f6626997","observation_id":"648cd481-5fe6-4d2a-bfb5-c23b9fcbdb23","resolution":{"observed_at":"2026-08-10T18:14:26.396242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06790","last_updated":"2023-04-13T19:23:52Z","snapshot_observed_at":"2026-08-16T15:40:35.889657Z","submitted_at":"2023-04-13T19:23:52Z","title":"Inpaint Anything: Segment Anything Meets Image Inpainting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06790","snapshot_observed_at":"2026-08-10T18:14:25.934775Z","title":"Inpaint anything: Segment anything meets image inpainting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.934775Z"},"links":{"cited_paper":"/paper/2304.06790","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:5b6cb236b67ae306494be04a044b3a4594ec928b70fd55e2801dc7af9cc2f8af","observation_id":"ce37d53f-cd34-4ca0-a6f7-8c25fa95e32a","resolution":{"observed_at":"2026-08-10T18:14:25.934775Z","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":"2026-08-10T18:14:26.378577Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"454a61b0-34c4-4d96-ab87-31e1610e4dfc","year":2023},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.939207Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:7753068fcdbeaa99e4f578fc91ddfdce3cc3ea0a85eb2988102d55c9e0fc3477","observation_id":"0916d72e-30a3-4c26-8705-e36208c85565","resolution":{"observed_at":"2026-08-10T18:14:26.383562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.366012Z","title":"Benchmarking and comparing multi- exposure image fusion algorithms","venue":null,"work_id":"9b8d8f4b-e863-4ea4-9765-b9171378eeb0","year":2021},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.942759Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:c8215f3b80d4c11b8738d3f5bc1c660dda93dcae95837a22d44362f0ae80dfc2","observation_id":"a4ed9036-7957-4ff9-bfb3-c051b8f2a951","resolution":{"observed_at":"2026-08-10T18:14:26.369979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:25.946580Z","title":"Maskflownet: Asymmetric feature matching with learnable occlusion mask","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.946580Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:0424c3948535efb036a1a7f2b5cee07ea6fe2858e87a39ff72464f3b801f144b","observation_id":"e3536900-5a8e-42d3-b101-c3ef5cbc6fbf","resolution":{"observed_at":"2026-08-10T18:14:25.946580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02235","last_updated":"2024-07-10T18:30:21Z","snapshot_observed_at":"2026-08-16T14:21:50.385122Z","submitted_at":"2024-02-03T18:36:39Z","title":"Image Fusion via Vision-Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02235","snapshot_observed_at":"2026-08-10T18:14:25.950316Z","title":"Image fusion via vision-language model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.950316Z"},"links":{"cited_paper":"/paper/2402.02235","citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:704eb1116788723041e771b1bab14984a97a73d210076be55fa66e89f66c08fa","observation_id":"8522229f-23df-4a78-b17d-0de3f1f06273","resolution":{"observed_at":"2026-08-10T18:14:25.950316Z","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":"2026-08-10T18:14:26.344235Z","title":"Superpixel based patch match for differently exposed images with moving objects and camera movements","venue":null,"work_id":"ee2da958-9545-48fb-ac29-9f94836f6b4a","year":2015},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.955481Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:166ec310ba2d322b4dc66ae2d24c8fe36b82438e31dc0d20c686251341b1e193","observation_id":"a7cd0978-0b44-4851-a539-e6dccf47972d","resolution":{"observed_at":"2026-08-10T18:14:26.349346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.330954Z","title":"Hybrid patching for a sequence of differ- ently exposed images with moving objects","venue":null,"work_id":"530bb38d-a141-45d4-a613-3730461a518a","year":2013},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.959442Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:98ac5ab470520f7fa70f3d5f02ee150ebd82773dadb98249fb7df792f9a412c6","observation_id":"6c5fde3c-9a06-4239-a846-060b42c0ace7","resolution":{"observed_at":"2026-08-10T18:14:26.335560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T18:14:26.314837Z","title":"Reconstructed Result","venue":null,"work_id":"58626b8a-6f7a-4d2d-ba51-f2d6c5a9cb1c","year":2024},"citing_paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion","version":4},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:25.963217Z"},"links":{"citing_paper":"/paper/2501.11515"},"observation_digest":"sha256:953e74a2e2035b248e95f8450a845086206aa163741d4dae80ca5a9ae94277e1","observation_id":"c3d1ae30-b911-4ece-9c39-4c0fda592603","resolution":{"observed_at":"2026-08-10T18:14:26.321568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.11515","last_updated":"2025-04-23T11:55:41Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T19:54:54.834752Z","submitted_at":"2025-01-20T14:45:07Z","title":"UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":1,"verified_fuzzy":51},"total_outbound_references":74},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2501.11515."}