{"as_of":"2026-08-17T12:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e6e416108bf8a0f4d682c32b50ece36e8b10aba7caa09fd3906ab3c9b9f1969","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:31:21.310528Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"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/2411.10682/citation-record","integrity":"/paper/2411.10682/integrity","json":"/paper/2411.10682/citation-record.json","paper":"/paper/2411.10682"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:31:21.728078Z","title":"Applications of geo-referenced underwater photo mosaics in marine biology and archaeology,","venue":null,"work_id":"2269b834-f89c-46ad-8f58-c9e2b1f3a72e","year":2007},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.186694Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:0cc30a68b81d1a8e8465ad99d309a737f5c30f7227cc10b19b678063977cef8e","observation_id":"9ebbfe15-4fb1-4c24-bc99-eb354496c8a0","resolution":{"observed_at":"2026-08-12T19:31:21.731250Z","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":"2026-08-12T19:31:21.714201Z","title":"Detecting marine organisms via joint attention-relation learning for marine video surveillance,","venue":null,"work_id":"669d3e34-4999-440d-9ff2-523247bd0419","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.189382Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:64ce51c8761ae62c463d52fdbbe085c134938fbcbfff3e49d2f28b3375537525","observation_id":"1f25ad7d-ad13-4a01-9967-15b9daf77f3f","resolution":{"observed_at":"2026-08-12T19:31:21.722143Z","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":"2026-08-12T19:31:21.705609Z","title":"Bidirectional collaborative mentoring network for marine organism detection and be- yond,","venue":null,"work_id":"05660681-5aea-433f-9a01-b4d5791c87d9","year":2023},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.191799Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:8f0ab073ce2758d1b7132cca5c91e3f34cc7cb61df85db38ba4555220c9f9599","observation_id":"e0150a85-0a3a-4dd6-b49f-aaea4dd5260b","resolution":{"observed_at":"2026-08-12T19:31:21.708733Z","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":"2026-08-12T19:31:21.696494Z","title":"Inverse synthetic aperture sonar imaging of underwater vehicles utilizing 3-d rotations,","venue":null,"work_id":"172844e1-bff3-4865-bfb9-ad29f687b7a5","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.194235Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:16811a07528598c801bf4120870644ae806c0d1b1d095621688653c6599c88b9","observation_id":"f0dabbb9-f964-4652-8c2a-3198da9225bf","resolution":{"observed_at":"2026-08-12T19:31:21.699835Z","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":"2026-08-12T19:31:21.686681Z","title":"An optical image transmission system for deep sea creature sampling mis- sions using autonomous underwater vehicle,","venue":null,"work_id":"71b24556-1a42-44a0-b792-8ab18444eb93","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.196806Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:6c9790c0ed973747ffec5a88625be0e505d59ef6e139518cf8cc248bc1f3678a","observation_id":"bf957c44-3b32-4f4a-b6d9-cb0f9ab33b53","resolution":{"observed_at":"2026-08-12T19:31:21.689828Z","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":"2026-08-12T19:31:21.677714Z","title":"Decoupled variational retinex for reconstruction and fusion of underwater shallow depth-of-field image with parallax and moving objects,","venue":null,"work_id":"607a54ca-3d81-4993-b33d-7a1814742220","year":2024},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.199307Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:4bcbe6478b1a4e3b6e3970408c45c10df55b76b5287753a98a6fd266be068aca","observation_id":"5b1abdce-ff82-4434-a0f2-2d09cd1ae7c8","resolution":{"observed_at":"2026-08-12T19:31:21.680555Z","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":"2026-08-12T19:31:21.668883Z","title":"Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric,","venue":null,"work_id":"3344fc42-22d2-4ac2-8a99-5054dc175a65","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.201934Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:0f354db8c7cca630e1c813bdaf6d6386fc91d938682b5acbcedf809255133bf8","observation_id":"58ffdb8a-8731-4034-a581-5bd18d7ff116","resolution":{"observed_at":"2026-08-12T19:31:21.672025Z","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":"2026-08-12T19:31:21.659976Z","title":"Perception-and- cognition-inspired quality assessment for sonar image super-resolution,","venue":null,"work_id":"5af66bf6-360f-481f-873e-faa0c24f40e0","year":2024},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.204161Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:7a725fdf3bbaa1c124a8ae2208b3cbaecb8f4f0fb82c05296fecf0a88de2b4ce","observation_id":"a53bef4a-6f74-4025-b1d1-4e57a1152e39","resolution":{"observed_at":"2026-08-12T19:31:21.662853Z","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":"2026-08-12T19:31:21.650560Z","title":"Underwater optical imaging: the past, the present, and the prospects,","venue":null,"work_id":"3210466b-2859-44a6-aea0-bed7cb2d5f9b","year":2014},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.206518Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:e8d9661a1b52deb916275838781456fa729c54775268ca12c3d1cfc54df87ba6","observation_id":"9d35a024-bce3-4884-accf-2fe92b2b134e","resolution":{"observed_at":"2026-08-12T19:31:21.654111Z","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":"2026-08-12T19:31:21.641418Z","title":"Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction,","venue":null,"work_id":"26ec5dbe-57c3-4204-afde-8e170d4a98b2","year":2023},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.208760Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:cff39370bc9d7e28988d88236f7e5f589a5349392bb14c6bd66da02aa3ad2cb5","observation_id":"13a4e50f-1061-442b-8ce1-bf3440613cfc","resolution":{"observed_at":"2026-08-12T19:31:21.644557Z","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":"2026-08-12T19:31:21.633085Z","title":"Underwater image enhancement quality evaluation: Benchmark dataset and objective met- ric,","venue":null,"work_id":"416aa49e-c92f-4bb6-a075-e553200273b3","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.211012Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:0f93be94cdd68993504fda72ba493b4689cb3f514ce5c3f2b0b3efa1cb330630","observation_id":"19b14902-ae5a-4996-b00c-2ae5d134ef75","resolution":{"observed_at":"2026-08-12T19:31:21.636066Z","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":"2026-08-12T19:31:21.624907Z","title":"Underwater image en- hancement with hyper-laplacian reflectance priors,","venue":null,"work_id":"30d556ef-ee80-45b7-945f-7ffb96d5bccc","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.213222Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:b7ce83e1b26d90f9339bda3dbb25da6ca8e4b7ea63a02c2955fa3dac59a1b219","observation_id":"c80ac4d7-0112-4841-b338-4d7144053f48","resolution":{"observed_at":"2026-08-12T19:31:21.627916Z","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":"2026-08-12T19:31:21.617387Z","title":"Reference- free quality assessment of sonar images via contour degradation mea- surement,","venue":null,"work_id":"e2b3e478-0689-4258-a5ac-cf951554be15","year":2019},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.215630Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:31d5af258a196a1b82eb25233eb22cff30c03da548dad7aa32e934b9fc3ab2a1","observation_id":"fc3dda7a-15ed-4d87-82ef-f961ffe8a465","resolution":{"observed_at":"2026-08-12T19:31:21.619965Z","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":"2026-08-12T19:31:21.609879Z","title":"No-reference quality assessment of underwater image enhancement,","venue":null,"work_id":"03a0ba8f-564a-4d06-afb7-8eb18c8018bb","year":2024},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.218060Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:f4996f440c9a2268e798c65178eaad728a211704903f62a7f584bdb817631adf","observation_id":"324a02b4-bd91-4e21-bacb-57aac09ae3ea","resolution":{"observed_at":"2026-08-12T19:31:21.612550Z","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":"2026-08-12T19:31:21.220213Z","title":"Un- supervised decomposition and correction network for low-light image enhancement,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.220213Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:73cfb978372bc07a63c0eb5318eb37242fd6d83fe8eedcd7de48c36eb9401186","observation_id":"836af2be-37a1-49a4-b355-87ade1b72f32","resolution":{"observed_at":"2026-08-12T19:31:21.220213Z","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":"2026-08-12T19:31:21.597371Z","title":"DTKD- Net: Dual-teacher knowledge distillation lightweight network for water- related optics image enhancement,","venue":null,"work_id":"4bc39a0f-7e35-42b8-9322-2f5f03ae782e","year":2024},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.222389Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:751ad804a531323350fde12516a718b9f584ab62e571413af608f5c1bf989400","observation_id":"129ec888-ed82-4874-809d-f5d3682c4783","resolution":{"observed_at":"2026-08-12T19:31:21.600247Z","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":"2026-08-12T19:31:21.589650Z","title":"Underwater image enhancement with lightweight cascaded network,","venue":null,"work_id":"0652ff21-7070-4dd8-bdea-045f8965639c","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.224568Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:0aba88f59a5999360ddf1df484cb2b51783f3ea94f06aca8e5f0bbcda99aba95","observation_id":"0d230b51-efe5-450a-afd6-b18cbe0643af","resolution":{"observed_at":"2026-08-12T19:31:21.592440Z","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":"2026-08-12T19:31:21.226706Z","title":"Perception-driven deep underwater image enhancement without paired supervision,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.226706Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:dea3e8dd4517868fb97eaf265b0299074491dcd70dd49e64933932a40eb41078","observation_id":"fa03fc7c-e3a2-466c-a5db-e9b0b5ad28ea","resolution":{"observed_at":"2026-08-12T19:31:21.226706Z","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":"2026-08-12T19:31:21.228770Z","title":"Underwater scene prior inspired deep underwater image and video enhancement,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.228770Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:c9d612f1bf6a648770e85aedc2704e39402887cf275c16a13e33e3d92653811b","observation_id":"030fe0ff-d7b5-4735-b3d7-a325f9f9e210","resolution":{"observed_at":"2026-08-12T19:31:21.228770Z","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":"2026-08-12T19:31:21.231001Z","title":"An underwater image enhancement benchmark dataset and beyond,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.231001Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:1aad1aac36bc425159c1d23b529d2b2e99a958a80c01c5fae7bbc5e34b27daa7","observation_id":"3666ded2-c17f-4a30-800f-bbb919b31379","resolution":{"observed_at":"2026-08-12T19:31:21.231001Z","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":"2026-08-12T19:31:21.233167Z","title":"Underwater image enhancement via medium transmission-guided multi-color space embedding,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.233167Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:b963133bfd5711b6ed348225c52dffbb7c15bdf8238d625c6fe8999618ecb70a","observation_id":"ec126d94-ea3a-4004-93ce-e51ec10497eb","resolution":{"observed_at":"2026-08-12T19:31:21.233167Z","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":"2026-08-12T19:31:21.564245Z","title":"HCLR-Net: Hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancement,","venue":null,"work_id":"6463a507-e359-4e82-9163-602951ea85bb","year":2024},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.235239Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:571d2c99a4cd5bdfffb41c592f77098210cb202e7d8a4acc50a489017ca0783a","observation_id":"57248962-cdcc-4102-9ab1-906012ab20da","resolution":{"observed_at":"2026-08-12T19:31:21.566949Z","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":"2026-08-12T19:31:21.557017Z","title":"Dual-path joint correction network for underwater image enhancement,","venue":null,"work_id":"404de27c-8d89-4899-a538-5d0403b1d216","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.237286Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:4c2e6064c509ff319dfc4e451d8923b94547fbe7ab88e68adad6358b7f311d6f","observation_id":"bbadb182-c559-4fef-80bc-7e6233bef85f","resolution":{"observed_at":"2026-08-12T19:31:21.559304Z","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":"2305.08824","last_updated":"2023-05-15T17:33:29Z","snapshot_observed_at":"2026-08-16T15:32:57.233519Z","submitted_at":"2023-05-15T17:33:29Z","title":"Five A$^{+}$ Network: You Only Need 9K Parameters for Underwater Image Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08824","snapshot_observed_at":"2026-08-12T19:31:21.239299Z","title":"Five A+ network: You only need 9k parameters for underwater image enhancement,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.239299Z"},"links":{"cited_paper":"/paper/2305.08824","citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:e26732f9d2dc11093468aaed1b9adcc5b5b35f58ed4e4186ef41b017e6353af8","observation_id":"542afc83-e250-402a-8018-900446a30abb","resolution":{"observed_at":"2026-08-12T19:31:21.239299Z","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":"2026-08-12T19:31:21.550089Z","title":"Two-branch deep neural network for underwater image enhancement in HSV color space,","venue":null,"work_id":"666d66cb-2813-4fe8-a340-e4270839cf6e","year":2021},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.241856Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:e89110aa8e8d0d084ba67becee89c875b12657d01e66035e9e426a8bddf8ac1a","observation_id":"5899a2a9-0ea0-420d-a6df-f423a7af5a81","resolution":{"observed_at":"2026-08-12T19:31:21.552476Z","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":"2026-08-12T19:31:21.542939Z","title":"SGUIE-Net: Semantic attention guided underwater image enhancement with multi- scale perception,","venue":null,"work_id":"98646279-ba0d-4665-865b-5c734e982904","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.244032Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:e7d69ac9a874ca8d4bbd8de671204f4309c98b1c404cc7b24a68ce7e67c8658b","observation_id":"13f6f62c-7ced-469d-84f1-7a8cb51ed070","resolution":{"observed_at":"2026-08-12T19:31:21.545453Z","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":"2026-08-12T19:31:21.534958Z","title":"Semantic-aware texture-structure feature collaboration for underwater image enhancement,","venue":null,"work_id":"6b205ccd-7af7-4776-a473-2eb9a38e3d2e","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.246155Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:6c13f43c82c95b899f538edeacf9ce368fd59a91e9a9f69fd476d4501a3d3c85","observation_id":"bd9a6dac-e9fc-406b-a753-e986f4a49cff","resolution":{"observed_at":"2026-08-12T19:31:21.537801Z","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":"2026-08-12T19:31:21.526967Z","title":"A two-stage underwater enhancement network based on structure decom- position and characteristics of underwater imaging,","venue":null,"work_id":"1c4754c5-23ea-469e-afaa-9275c8bb1780","year":2021},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.248358Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:c2a7f58024b84c0651bf333ac37f23dc5e31eb8ec98c63a3e6eccfaee0ad4ddb","observation_id":"937e4cf2-9580-44aa-bf65-67c6f741d4a5","resolution":{"observed_at":"2026-08-12T19:31:21.529908Z","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":"2026-08-12T19:31:21.250559Z","title":"Contrastive learning for compact single image dehazing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.250559Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:f45223d550c596c94bfac3a937756ef93f2769a55e81a3bbc9b19de89e676ad3","observation_id":"61e5356c-a17b-48b3-8734-a9f6668623c6","resolution":{"observed_at":"2026-08-12T19:31:21.250559Z","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":"2026-08-12T19:31:21.514166Z","title":"ImageNet classification with deep convolutional neural networks,","venue":null,"work_id":"483bc70b-ae14-489d-88db-370ef1c49969","year":2012},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.252639Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:2e94f7578153c08854ee98c7fe796191cf2dceaa98aeee1463a8e48668881eb1","observation_id":"a78caa67-7aaf-4898-99b4-5378f2089806","resolution":{"observed_at":"2026-08-12T19:31:21.517140Z","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":"2026-08-12T19:31:21.506483Z","title":"ImageNet: A large-scale hierarchical image database,","venue":null,"work_id":"19cb9b94-4ae7-447d-bd05-19c4ed77143d","year":2009},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.255215Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:6cdefd0bde09d592d5280c425002e13f1aac72242db402b5b345d4d8edb4087c","observation_id":"1a303b42-ccfd-426b-821c-597b4dc0ea27","resolution":{"observed_at":"2026-08-12T19:31:21.509116Z","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":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T23:20:42.336514Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-12T19:31:21.257356Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.257356Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:076a1618b01d1b60dda7dc5032d59f8f799f8c0e7517cada62c9c4ccb8ba7598","observation_id":"e793b857-3e08-480f-8d53-056f4ed0c803","resolution":{"observed_at":"2026-08-12T19:31:21.257356Z","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":"2026-08-12T19:31:21.259655Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.259655Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:ee4cace41002b5632940645ade2086ae278313bad4b717ac339d558c84f67e54","observation_id":"d1ebd6a1-490e-4ebf-b447-d99f3104c9bf","resolution":{"observed_at":"2026-08-12T19:31:21.259655Z","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":"2026-08-12T19:31:21.494278Z","title":"Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,","venue":null,"work_id":"29b23d7a-bdb6-4c1b-9bb3-a52ebf57465a","year":2016},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.261848Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:0b57dcafacec1de92c5afcc6b7d0a644f53dea0c78e54c32abadbe533fa401a1","observation_id":"dabc5f7f-d8b5-4bb0-b70a-cd7a18e28e61","resolution":{"observed_at":"2026-08-12T19:31:21.496892Z","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":"2026-08-12T19:31:21.486872Z","title":"A deep CNN method for un- derwater image enhancement,","venue":null,"work_id":"3e6277f0-58e3-4e3d-ab45-81c0f5229a14","year":2017},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.264302Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:5cde80b7fb6f3a4da29002683b9f2d67ac12bd4ea4080f9b1b5c7c77040aca70","observation_id":"4cd7e9f6-9a5a-4f07-9cdf-9c4ddc656d8d","resolution":{"observed_at":"2026-08-12T19:31:21.489523Z","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":"2026-08-12T19:31:21.266526Z","title":"Uncertainty inspired underwater image enhancement,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.266526Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:140d671bef6d826942760567393eb97814671d395a798ce4711928f08873312b","observation_id":"67bbe465-2a08-4bad-bdb7-1d044d5edf10","resolution":{"observed_at":"2026-08-12T19:31:21.266526Z","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":"2026-08-12T19:31:21.474553Z","title":"Underwater ranker: Learn which is better and how to be better,","venue":null,"work_id":"c744eae5-a848-4404-9be1-d668dab8df85","year":2023},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.268734Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:798f0e0410f7b6132491ef4099738fa4f345c76188f20d2da7ca697060bb5810","observation_id":"4b38a362-7ca0-41af-8549-02767ba20a11","resolution":{"observed_at":"2026-08-12T19:31:21.477288Z","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":"2026-08-12T19:31:21.466909Z","title":"Data-efficient image recognition with contrastive predictive coding,","venue":null,"work_id":"b83ce727-2c4e-4037-b17d-5d30d6423613","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.271019Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:dce90f9fc8ce5ad47f159ee1717ddd92410c8a38b5813ed7f57bf4a32efa0299","observation_id":"72d72258-ed5a-47f6-b43b-d0f290b5db45","resolution":{"observed_at":"2026-08-12T19:31:21.469547Z","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":"2026-08-12T19:31:21.459802Z","title":"Contrastive multiview coding,","venue":null,"work_id":"68ef3f3f-eae1-486e-9467-40ca18109db5","year":2019},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.273166Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:2f813607f60097c53d306ffbfb49944e46a04e37a3cf6ef86c8059c30d29f1ec","observation_id":"86ad3c9b-c1b0-425f-8510-e451b58f42ea","resolution":{"observed_at":"2026-08-12T19:31:21.462175Z","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":"2026-08-12T19:31:21.452939Z","title":"Time-contrastive networks: Self-supervised learning from video,","venue":null,"work_id":"f3b7a2a0-e242-4a1e-9f50-2bf665b91420","year":2018},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.275148Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:c12bcbfe2670e6430602638e5d458c155cc2f37d232bc9467e96bff1c8203314","observation_id":"f839c314-a7cf-427a-b237-907ec1f03a02","resolution":{"observed_at":"2026-08-12T19:31:21.455297Z","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":"2026-08-12T19:31:21.445734Z","title":"A simple framework for contrastive learning of visual representations,","venue":null,"work_id":"79d7b2fc-0a30-4141-bbcf-38003ac21d0c","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.277376Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:5d70e1dcaf39a7ceb8910f88fdbb624d2a022b09ea6572dca1475367a435d45c","observation_id":"cd4614a5-9c70-4063-9b0d-6b922f20edc6","resolution":{"observed_at":"2026-08-12T19:31:21.448170Z","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":"2026-08-12T19:31:21.437599Z","title":"Momentum contrast for unsupervised visual representation learning,","venue":null,"work_id":"6690754d-946d-4ce0-8f4f-ca13ad34d555","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.279684Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:04b76f4e3e0bd9cb5569f51cd573ecff08d39480a102aa5b0f34a314e6548689","observation_id":"991fe70c-1634-4526-9f3f-775ae477a76a","resolution":{"observed_at":"2026-08-12T19:31:21.440524Z","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":"2205.01871","last_updated":"2022-05-04T03:25:13Z","snapshot_observed_at":"2026-08-16T17:02:45.464065Z","submitted_at":"2022-05-04T03:25:13Z","title":"UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2205.01871","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.01871","snapshot_observed_at":"2026-08-12T19:31:21.331955Z","title":"UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning","venue":"cs.CV","work_id":"a1c91874-2072-4766-8167-0264bd54a881","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.281904Z"},"links":{"cited_paper":"/paper/2205.01871","citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:62c717dc6b6d1f5bfe5b1721b6d74b8a0e5189b43e513e6e7a00a4db4b76a249","observation_id":"82d23835-0e25-4ae7-a4e5-b8e35b34ad4c","resolution":{"observed_at":"2026-08-12T19:31:21.336551Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:31:21.284597Z","title":"Twin adversarial contrastive learning for underwater image enhancement and beyond,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.284597Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:55ae9e69668d204aacf64d103c0523b5462d90d83fe0f78d70757e23327df073","observation_id":"6e95e23e-573d-4baa-92d5-7428fa0d43b5","resolution":{"observed_at":"2026-08-12T19:31:21.284597Z","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":"2026-08-12T19:31:21.425058Z","title":"FFA-Net: Feature fusion attention network for single image dehazing,","venue":null,"work_id":"3709eb2d-e0d6-4553-b549-f90f88a17552","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.287067Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:25443e3bdcd2ae9ac65fa4fa69ca4d5002cf352f978387c00e47692a764e9270","observation_id":"d422e7e9-1221-4181-b907-056432d20f1d","resolution":{"observed_at":"2026-08-12T19:31:21.427916Z","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":"2026-08-12T19:31:21.416972Z","title":"Learning enriched features for fast image restoration and enhancement,","venue":null,"work_id":"446c0089-ae23-48e2-aa8e-58d407f8b915","year":1934},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.289300Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:4de1ae419e5e9b71d8db5c004cc5b886d950f3dfa512ed4ecc764d224d30b2bd","observation_id":"f3a1f534-d7fd-45f2-b15c-89bc4c72d062","resolution":{"observed_at":"2026-08-12T19:31:21.419787Z","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":"2026-08-12T19:31:21.291517Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.291517Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:02b65d5dc4b85419ce5f66d0b665efa8437938bc22f7b71c71e222aa37fa653b","observation_id":"6b226410-2b77-4f46-a16b-2673e1d74a1c","resolution":{"observed_at":"2026-08-12T19:31:21.291517Z","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":"2026-08-12T19:31:21.293847Z","title":"Fast underwater image enhancement for improved visual perception,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.293847Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:70742e2c523323856ee7b7d83263a605e25b6d87440e45edf7fe56e2b9f8fe12","observation_id":"18c70858-14fd-4129-a1eb-d21cb740b95a","resolution":{"observed_at":"2026-08-12T19:31:21.293847Z","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":"2026-08-12T19:31:21.399894Z","title":"Underwater single image color restoration using haze-lines and a new quantitative dataset,","venue":null,"work_id":"19f5df81-69d1-46a6-a530-795dc163b3cc","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.296141Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:41950b49ed6eaa743db92890e88fc3050e34102b75520f688f41ddea9b96e835","observation_id":"05b41f1a-42b3-484d-9b55-1f9c1e683290","resolution":{"observed_at":"2026-08-12T19:31:21.402767Z","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":"2026-08-12T19:31:21.298302Z","title":"Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.298302Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:2100a575d1ce92b4c443788152ef775d09442e35533c6dd1c8a65e28ed56f9ee","observation_id":"83fcb2ee-e13f-4a0b-abf5-78ba2806603f","resolution":{"observed_at":"2026-08-12T19:31:21.298302Z","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":"2026-08-12T19:31:21.387803Z","title":"Color balance and fusion for underwater image enhancement,","venue":null,"work_id":"0c37e702-ad49-450f-bd94-50e5a71c7237","year":2017},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.300365Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:795439932931c4aa2a3083068a1bea23fb34018c7f96230847a589fec705830b","observation_id":"b4fcce42-ee34-4dcb-a519-fcb8fd0d3a8c","resolution":{"observed_at":"2026-08-12T19:31:21.390404Z","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":"2026-08-12T19:31:21.379967Z","title":"Enhancement of underwater images with statistical model of background light and optimization of transmission map,","venue":null,"work_id":"d8312b7f-920f-4020-8354-cc9a8ca99530","year":2020},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.302386Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:bc15f64fb77570e47a4974d1ed5cc160586dde126c672610f33e11434c8044ff","observation_id":"2969473d-5d14-45f5-9146-bca11d20c76e","resolution":{"observed_at":"2026-08-12T19:31:21.382791Z","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":"2026-08-12T19:31:21.304504Z","title":"Under- water image enhancement via minimal color loss and locally adaptive contrast enhancement,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.304504Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:fe21a0f3690e735a2bef4ced1d967fdc27f66330bcc5bc245b8d7c7ed1fdfbfb","observation_id":"4f0c65e4-67fb-4d5f-a087-485651612faa","resolution":{"observed_at":"2026-08-12T19:31:21.304504Z","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":"2026-08-12T19:31:21.306472Z","title":"Human-visual-system-inspired underwater image quality measures,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.306472Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:9d5f146a5875d9a06feeac540123e023720a79a2174ad987c5103021eab49260","observation_id":"c0164097-5b6c-4b07-b8b9-7d7646295fbf","resolution":{"observed_at":"2026-08-12T19:31:21.306472Z","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":"2026-08-12T19:31:21.308472Z","title":"An underwater color image quality evaluation metric,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.308472Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:37869ae601b9537c7999698c2ba692b2de273879061de0fb939895148c98cb5e","observation_id":"a3a9278f-ed58-4a05-80b3-a5377d12f3e9","resolution":{"observed_at":"2026-08-12T19:31:21.308472Z","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":"2026-08-12T19:31:21.357710Z","title":"A perception- aware decomposition and fusion framework for underwater image enhancement,","venue":null,"work_id":"33b993aa-a66b-4548-a7a2-29522cc4d160","year":2022},"citing_paper":{"arxiv_id":"2411.10682","last_updated":"2024-11-16T03:16:44Z","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T19:31:21.310528Z"},"links":{"citing_paper":"/paper/2411.10682"},"observation_digest":"sha256:d5779aa5dbee40c7576baffdcd8ddbf3dde0af87fef07bf280e8f2e084b63cc4","observation_id":"e9f1884d-758c-40a9-8b88-7c44194dc080","resolution":{"observed_at":"2026-08-12T19:31:21.360797Z","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":"2411.10682","last_updated":"2024-11-16T03:16:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T15:20:03.048535Z","submitted_at":"2024-11-16T03:16:44Z","title":"Underwater Image Enhancement with Cascaded Contrastive Learning"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":56},"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 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2411.10682."}