{"as_of":"2026-08-21T01:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:687a99b7ffc3a11f48445ceb9663ab3ddb862d0688df7c8e0aa52b35d9a8a464","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:16:47.122962Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2509.00835/citation-record","integrity":"/paper/2509.00835/integrity","json":"/paper/2509.00835/citation-record.json","paper":"/paper/2509.00835"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.625515Z","title":null,"venue":null,"work_id":"6507e6a7-559a-4dd4-84aa-db254a54f420","year":2019},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.001347Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:42417cb4de4e0b52d7181990e9b87ea029d6b854b56b7795eac0c1982c565d47","observation_id":"f10e189b-4c3d-4209-9a2c-c67a38d5dfba","resolution":{"observed_at":"2026-08-05T13:16:47.628428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.617059Z","title":null,"venue":null,"work_id":"f615766a-5b9c-4022-bd97-b842f27ef41d","year":2016},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.004516Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:cc42c7f9b0dbc37c85d56171c651fde658de237f0f0dc3156d71d727a5c5904c","observation_id":"4621663f-be1a-44d9-8f45-ad1726ad0f93","resolution":{"observed_at":"2026-08-05T13:16:47.619918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.607751Z","title":"A.; Loveland, T","venue":null,"work_id":"66e884c8-2f3c-4c5a-9e20-20f8c911e452","year":2019},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.007245Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:8afb2d060b6936d3b2e9e174f69e05b91e307fb53faf5e627a3b78ee7399b121","observation_id":"f30b60f2-90ba-4fbf-a95d-378cd8ed5ec3","resolution":{"observed_at":"2026-08-05T13:16:47.610739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.598186Z","title":"GAN-Based Map Generation Technique of Aerial Image Using Residual Blocks and Canny Edge Detector","venue":null,"work_id":"83f9c4ef-ea68-4397-a8e4-2d2a72e15057","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.013471Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:67e25239a19ad824c968755ca746b18e4e42b33316931b3e39a5827f84689efc","observation_id":"45fb5dc4-08e3-472e-aeb8-2772892d1e16","resolution":{"observed_at":"2026-08-05T13:16:47.601624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.589434Z","title":"J.; Khan, H","venue":null,"work_id":"2b5c0030-bf59-4bd3-93d0-1dbab1ad9deb","year":2018},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.016154Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:092164a7f7895a4792258f9e2302ddfe4c7296f8ad866fbe42043614e859ce3c","observation_id":"05acd7e2-b4d2-4d36-81e8-6fb72786c9a6","resolution":{"observed_at":"2026-08-05T13:16:47.592474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.580438Z","title":"Hyperspectral and multispectral data fusion: A comparative review of the recent literature","venue":null,"work_id":"d6b18115-6102-4cfd-9d37-73beb5ea05b8","year":null},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.019399Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:8627e12114a8bb3da342e23799580ca277ed402cf230a1943a1e9660addaa56b","observation_id":"c1c2a615-0d80-4232-930a-df3fb4db91c3","resolution":{"observed_at":"2026-08-05T13:16:47.583748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.571325Z","title":"Remote sensing image scene classification: Benchmark and state of the art","venue":null,"work_id":"7c8042a8-42b8-41df-a141-afb2f80fa3bd","year":2017},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.022176Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:a8df9de8545ff0e4fad68427d361eec4d0fac14850f6d438c8e9258a88c27105","observation_id":"29773322-1262-43b0-8952-a4561b8020fc","resolution":{"observed_at":"2026-08-05T13:16:47.574969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.561969Z","title":"A survey on deep learning-based change detection from high-resolution remote sensing images","venue":null,"work_id":"58ae70bd-c8bd-4b1f-a237-1afd19284a3b","year":null},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.025172Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:6f7559945ba92862dcbab088b478d8d525fea00acadd768657749385442d0882","observation_id":"c05f5e56-4d13-4e1b-9406-32838d17d34e","resolution":{"observed_at":"2026-08-05T13:16:47.565703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.485647Z","title":"Trends and prospects of techniques for haze removal from degraded images: A survey","venue":null,"work_id":"cb147150-eae2-454e-8e5a-c16a67f33534","year":2022},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.027680Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:0b2c58a245787c9e1e5af48113c2498a87696edaeaa35aed5b6f824d44804714","observation_id":"9d190267-e10e-45b1-b20c-86598c9a2929","resolution":{"observed_at":"2026-08-05T13:16:47.489094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.475865Z","title":"A review of remote sensing image dehazing","venue":null,"work_id":"581f0516-1269-4594-b990-4520eb48c7ab","year":2021},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.030244Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:80594a9f329f8dbf74a5c258f3fa5ddd3705fab798bfd2851451726124cf9f0a","observation_id":"a0d95161-9c64-438f-a5df-4b616404eb62","resolution":{"observed_at":"2026-08-05T13:16:47.479567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.466988Z","title":null,"venue":null,"work_id":"5db92bbe-1b8b-4e75-ac4f-b669649f4b4e","year":2016},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.032761Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:0890a6d047ef0b5e7029673f99a8a12ad16ce44d856ae39f43fde880ff50f296","observation_id":"f861a7ae-68c5-4c7f-805f-c30891d5f211","resolution":{"observed_at":"2026-08-05T13:16:47.470264Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.457807Z","title":"G.; Clayton, C","venue":null,"work_id":"647daeb1-965b-4028-8c4a-eca9c4e64d6d","year":2004},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.035562Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:25cc263d5c70ad4289537f3c9b9ea75ac18faf88380631978f603de0ad2c3023","observation_id":"7d7711dc-0258-4c48-a2b9-fbddb0c8d8d3","resolution":{"observed_at":"2026-08-05T13:16:47.460877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.448432Z","title":"C.; Montes, M","venue":null,"work_id":"dd8e7abe-d07a-47df-b0ed-9be12bed3ee4","year":2009},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.037995Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:1415b22093193b4413d585b1dadfdee4ec5e480a14b4df68a2da879bb2e84a93","observation_id":"78baa757-57ca-49df-bb43-d87522461b73","resolution":{"observed_at":"2026-08-05T13:16:47.451499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.439902Z","title":null,"venue":null,"work_id":"8bb67436-790f-4cae-b106-f72b58a98aef","year":2021},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.040480Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:d8120667bf7261ffeed96d21785750386d3fdc44eec9139e3acf53f061febf82","observation_id":"f6c17b42-ec46-49b0-9a1e-19375d613d17","resolution":{"observed_at":"2026-08-05T13:16:47.442856Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.430821Z","title":"K.; Vasikarla, S","venue":null,"work_id":"83bc6ad2-54ae-48f1-b55a-1cf6f86b5c21","year":2020},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.043114Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:81a92981b246c96fd9afe1da0f3234771598ad534900551d536df6b0aeea8da4","observation_id":"fb6bec30-9946-4bc5-8ea2-ff56c408f52f","resolution":{"observed_at":"2026-08-05T13:16:47.433885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.421767Z","title":"H.; Chen, L","venue":null,"work_id":"1c23cf24-b3f1-4ed4-b2b8-20476f1070a9","year":2018},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.045618Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:ab125962725865ea69f773f6b969ec537be63ca8d29fa0d0850b52bb886f5a40","observation_id":"b6676c32-94f6-4086-9bb6-a22812651f8d","resolution":{"observed_at":"2026-08-05T13:16:47.424765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.411949Z","title":"Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras","venue":null,"work_id":"0372995c-bd09-4bfa-ad4e-5ac3d912b674","year":2018},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.048121Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:3dfd431cd8395484b24b691b4c063f159332ddca6489cafc38c3facd515cf5fe","observation_id":"edcfda0c-e41b-4821-a065-5cdd2851d0a2","resolution":{"observed_at":"2026-08-05T13:16:47.415483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.402943Z","title":"Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring","venue":null,"work_id":"f7ef0a77-54cf-4c9e-907b-811a5916ca0e","year":2018},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.050853Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:46d2cde54e03500a9c7dfe9b8bbaca46ed7eacdef1b322836bf801a79691b40d","observation_id":"76d654d1-91e2-4675-bcfc-e98c35daa6a1","resolution":{"observed_at":"2026-08-05T13:16:47.406254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.394409Z","title":"Single satellite image dehazing via linear intensity transformation and local property analysis","venue":null,"work_id":"7d464ef4-216a-460b-8fbb-ceefea14e71f","year":2016},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.053570Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:cde61fc504654e35b690b58a4bd4c625c4863801ad99b3818c7484485bf92a72","observation_id":"2dde263e-66ff-44f0-9934-db1d3e80e94c","resolution":{"observed_at":"2026-08-05T13:16:47.397749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.385946Z","title":"Q.; Jiang, X","venue":null,"work_id":"3fd303c9-457c-4cf6-9072-b4dc00d55804","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.056092Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:e048eed7bce13f572d37f3e4acd20f4fbbf727fa75975a185b276e087da30983","observation_id":"d53a9b44-a0aa-4e73-bc3b-443013753b22","resolution":{"observed_at":"2026-08-05T13:16:47.388919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.377190Z","title":"A comprehensive survey and taxonomy on single image dehazing based on deep learning","venue":null,"work_id":"464e1c25-6441-4623-b9c3-81a806f06373","year":2023},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.058425Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:dedb913dd8bb0d08b53e42fc6e8e7071ee0809b7d9e33fdf16557239817c37e2","observation_id":"f4aaacc2-4662-4417-b0cd-a2e475ae6844","resolution":{"observed_at":"2026-08-05T13:16:47.380502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.368104Z","title":"Single satellite optical imagery dehazing using SAR image prior based on conditional generative adversarial networks","venue":null,"work_id":"db98afd0-5453-4bab-be4e-2e64e388b5c5","year":2020},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.060771Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:7e93d2025104a60e918d8081c23231123bf8056331d25ad1e127ea9843bcd25b","observation_id":"20b49804-7e17-464c-89b9-2bf71c14fb13","resolution":{"observed_at":"2026-08-05T13:16:47.371431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.359067Z","title":"Hybrid high-resolution learning for single remote sensing satellite image dehazing","venue":null,"work_id":"eec48015-5af8-4483-a75b-15042e35cdf7","year":2021},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.063207Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:05235e70e149a5b37a6ae8c1ec3957bb5025193eaada5850f7f91dd68a726c76","observation_id":"bb24ac3f-72fd-404e-80b0-d9825fec4cc3","resolution":{"observed_at":"2026-08-05T13:16:47.362501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.350014Z","title":"Learning an effective transformer for remote sensing satellite image dehazing","venue":null,"work_id":"f67abed3-e1c4-4073-96c7-868f87c6ce65","year":2023},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.065656Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:5becf92c4eb0cb6e4d0e91bd4d303665157589c60b4a08c649f0a16ac20f5535","observation_id":"87d90a3e-0845-44e3-aa80-2c063539ff3d","resolution":{"observed_at":"2026-08-05T13:16:47.353427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.339686Z","title":"An efficient multi-scale transformer for satellite image dehazing","venue":null,"work_id":"cf4ab43c-d7d2-4b6a-8dbf-7ab829119431","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.068203Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:0f691c0c40111926c8e5e098bb518c9cbdf27e09d182b93041a66e4373c9a078","observation_id":"c8f3da42-d11e-4773-9f1e-6bd71c2011ea","resolution":{"observed_at":"2026-08-05T13:16:47.343439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.329708Z","title":"SAR-to-optical image translation using SSIM and perceptual loss based cycle-consistent GAN","venue":null,"work_id":"ae8c3725-a275-41f7-9897-02deae3b331a","year":2020},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.070776Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:ea7bba966309a0015e1dd7d3d3f7b281888d127c26b9127d9dd963ab27a1d9fb","observation_id":"b773550c-a483-4cda-9a9d-1d10bdc67e52","resolution":{"observed_at":"2026-08-05T13:16:47.333219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.320280Z","title":"Cloud-GAN: Cloud removal for Sentinel-2 imagery using cyclic consistent generative adversarial networks","venue":null,"work_id":"970665c9-cfad-45cb-8504-b4ea7318beaa","year":2018},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.073145Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:bbaf6194d0c120aaf5a2f325a3dffa96f07e39bb6bed78d1dabaab7be6cd50df","observation_id":"cb3d9efb-dc5f-4b2a-8fc2-a8f40a11b794","resolution":{"observed_at":"2026-08-05T13:16:47.323758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.311044Z","title":"DehazeNet: An end-to-end system for single image haze removal","venue":null,"work_id":"d6d40bf7-6fe2-46f8-8ad9-e4fdcda04e42","year":2016},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.075669Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:d6ff6dde67643743a98b5b4e5d93299bc5a23e108886fd82e71e180498fd2445","observation_id":"23750cfa-2a02-4126-a0cb-b9ec5c86a4e2","resolution":{"observed_at":"2026-08-05T13:16:47.314266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.301819Z","title":"M2SCN: Multi-model self- correcting network for satellite remote sensing single-image dehazing","venue":null,"work_id":"efb03d0c-b7f7-4804-8705-c80453856242","year":null},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.078020Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:88a031641d0ae0c610a27378608c145a0dbdbb8b4633d60b1941fc0b3cde2abe","observation_id":"6a831996-8b98-4756-8b25-b512c487bda1","resolution":{"observed_at":"2026-08-05T13:16:47.305352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.292716Z","title":"A Novel Framework for Satellite Image Dehazing Using Advanced Computational Techniques","venue":null,"work_id":"8a584b7e-f876-4815-96aa-21b036948848","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.080676Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:112778947e068b8bdbcfddb37b3d2003d4b63d5c930249919bf4cd379a61aa05","observation_id":"5e34ec23-6468-47ce-81d1-54619f679ba7","resolution":{"observed_at":"2026-08-05T13:16:47.295982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.283772Z","title":"Remote sensing image dehazing using heterogeneous atmospheric light prior","venue":null,"work_id":"b2296ba7-f9eb-4f23-8b57-6ac7067efaa9","year":2023},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.083532Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:7a3c47665e16fc51389c83ef615233fd1ca28303f300d5fa1699f28e4a3a883c","observation_id":"250749c6-53c0-4d9b-989a-cfea271be6fc","resolution":{"observed_at":"2026-08-05T13:16:47.287328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.274313Z","title":"IDF- CR: Iterative diffusion process for divide-and-conquer cloud removal in remote-sensing images","venue":null,"work_id":"f7df3bdc-8709-4283-afb9-6707374379d6","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.085892Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:b8fd9dbc78bb723e1416a434b6052dfc84356cb52a4093aff51dd5ff54f8602c","observation_id":"3ef8b2b4-bf7c-402f-8ff0-318bbda1127c","resolution":{"observed_at":"2026-08-05T13:16:47.278476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.263459Z","title":"SCANet: Self-paced semi-curricular attention network for non-homogeneous image dehazing","venue":null,"work_id":"5d2f12f9-abf8-4210-96fc-51f89c20e0d6","year":2023},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.088378Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:4cb6cc25e608872798f9afaccef96313882cc87e74d2d12bdbd1e8e804510e7a","observation_id":"16569737-dc68-498f-83ac-f68c8f7e0ef9","resolution":{"observed_at":"2026-08-05T13:16:47.267488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.13015","last_updated":"2020-11-14T08:17:05Z","snapshot_observed_at":"2026-08-19T10:18:10.759774Z","submitted_at":"2020-09-28T02:13:23Z","title":"Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.13015","snapshot_observed_at":"2026-08-05T13:16:47.090936Z","title":"Cloud removal for remote sensing imagery via spatial attention generative adversarial network","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.090936Z"},"links":{"cited_paper":"/paper/2009.13015","citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:8cb0da34234a5846d172206a3a81d6d50dade729fceb6ebb31bb33fdc351c22e","observation_id":"0901c11c-1cb6-46df-ad89-e2f24bdba68b","resolution":{"observed_at":"2026-08-05T13:16:47.090936Z","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":"2026-08-05T13:16:47.252819Z","title":"Vision transformers for single image dehazing","venue":null,"work_id":"e27982fb-e974-4277-a84d-8dd7847e1097","year":2023},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.093945Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:c7ab52315b07f4f333956f8f3168c79047cf92160e13a059d795cc43eed3a817","observation_id":"994cf740-c049-4c77-b9b7-248b1e64c4ff","resolution":{"observed_at":"2026-08-05T13:16:47.256652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.242668Z","title":"Information Fusion","venue":null,"work_id":"2675a5de-64f1-41d7-bc77-3b73b9ce76d8","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.096646Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:d5df2e7d060a584a0a918cc0ef3fe6e3bf4d0427da2b430935b36ae9c37d5609","observation_id":"2251037a-1cb7-4f26-8aad-dcd4e5128fea","resolution":{"observed_at":"2026-08-05T13:16:47.246853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.233532Z","title":"Remote Sensing Image Dehazing via Dual-View Knowledge Transfer","venue":null,"work_id":"4f58fe43-5663-4918-93ff-4b5a78eff484","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.099382Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:e948b995c586c7ca1a9bfa934572695eaed4481d561b962633a67aca780c0b7c","observation_id":"e78d171d-a876-4fb0-b6ad-4c8fccc9e0e6","resolution":{"observed_at":"2026-08-05T13:16:47.236756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.224412Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"58c0ed5c-7e44-4886-95d3-04a026213aae","year":2021},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.102400Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:d20368754f53b5eadfcaffefa23b124fd70432db3e1571f12bf53a053fd584e7","observation_id":"c6281141-057c-44f6-9bd9-076692d964e7","resolution":{"observed_at":"2026-08-05T13:16:47.227663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.214205Z","title":"Efficient dehazing method for outdoor and remote sensing images","venue":null,"work_id":"73b07731-0ccf-40df-bf09-baf7ca2e4586","year":2023},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.105064Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:1805fa62a329bbf254491a3a357e3ab9f16d4b760e3860f0d27722de5847306b","observation_id":"2ab9d7a2-c5e1-4d34-98c9-e805b37ee4bc","resolution":{"observed_at":"2026-08-05T13:16:47.218085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.204317Z","title":"A Dehazing Method for UAV Remote Sensing Based on Global and Local Feature Collaboration","venue":null,"work_id":"f3012f44-db29-4c67-ba1a-de54ce586932","year":2025},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.107630Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:85d3158113ca15321a29232a3fff23198b8338830724133094248840d5b51d17","observation_id":"fe3bf5e2-d9d2-4bf8-a585-4a5a104aaae4","resolution":{"observed_at":"2026-08-05T13:16:47.207655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.193743Z","title":"U-Shaped Dual Attention Vision Mamba Network for Satellite Remote Sensing Single-Image Dehazing","venue":null,"work_id":"7b2c3ac1-b83d-456f-84a0-6e723b36992f","year":2025},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.110474Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:0ea45bcaa660b97c7ec79feec8b504eccc6d5ca976ca181d56e975ba593ac5c6","observation_id":"9210b503-ac74-48a6-8cdc-5f4e9f9b281f","resolution":{"observed_at":"2026-08-05T13:16:47.197878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.184317Z","title":"ICL-Net: Inverse cognitive learning network for remote sensing image dehazing","venue":null,"work_id":"c90ad97e-82ca-45b3-8a7e-40c8741df3c2","year":2024},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.113337Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:6942c89716c84228bc701308eabbaf12a78a4342e7bc90a2f144cb59acf3c555","observation_id":"97e3def9-c687-4a86-8940-fc70258be572","resolution":{"observed_at":"2026-08-05T13:16:47.187563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:16:47.174263Z","title":"Guided image filtering","venue":null,"work_id":"4353f43f-9545-4ecb-8069-29dec6f794d6","year":2012},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.116171Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:89ad741872caa1416cf55bad308558c8b980ff88a5c3439f8a1a8b2536f073f9","observation_id":"6f42f06a-a4b5-498f-a01d-e4fcb5f7a7f1","resolution":{"observed_at":"2026-08-05T13:16:47.178146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.00600","last_updated":"2019-01-03T03:43:38Z","snapshot_observed_at":"2026-08-14T17:35:43.740255Z","submitted_at":"2019-01-03T03:43:38Z","title":"A Remote Sensing Image Dataset for Cloud Removal","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.00600","snapshot_observed_at":"2026-08-05T13:16:47.119570Z","title":"A remote sensing image dataset for cloud removal","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.119570Z"},"links":{"cited_paper":"/paper/1901.00600","citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:4489fa4194957819f7d8198973cb0f4a26e3325ea07d073b187828dcc23f3423","observation_id":"39f9097e-0bf0-4fd0-b9c4-5269dbe2a119","resolution":{"observed_at":"2026-08-05T13:16:47.119570Z","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":"2026-08-05T13:16:47.162248Z","title":"Single image haze removal using dark channel prior","venue":null,"work_id":"ab3cf6a7-12a6-4638-ad58-5b830b21dd9f","year":2011},"citing_paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:47.122962Z"},"links":{"citing_paper":"/paper/2509.00835"},"observation_digest":"sha256:87dee3247d8e6b5b593fc47bf979b65fa4d4be1b4c6de1ee874b440c2201db64","observation_id":"ac7ff842-a5ad-4f74-aa9f-edc93fb38e5a","resolution":{"observed_at":"2026-08-05T13:16:47.167932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00835","last_updated":"2025-08-31T13:07:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T10:17:49.373928Z","submitted_at":"2025-08-31T13:07:20Z","title":"Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":39},"total_outbound_references":45},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2509.00835."}