{"as_of":"2026-08-18T21:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2016d08699aa6e2940a4e35c8d37c183ab09107e0fba5c3e852d60a6b3454214","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:03:24.196174Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2412.07009/citation-record","integrity":"/paper/2412.07009/integrity","json":"/paper/2412.07009/citation-record.json","paper":"/paper/2412.07009"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:03:27.377674Z","title":"Cbla: Color balanced locally adjustable underwater image enhancement,","venue":null,"work_id":"64c4c345-594e-4a2b-924f-6b20379a9548","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.618547Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:9de2388b7656579577748c78601a47309efd0beb0610a2b90c3003be1a54174b","observation_id":"594444e6-60bf-4deb-ad98-9f46f08ba6b2","resolution":{"observed_at":"2026-08-12T05:03:27.425213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:22.627411Z","title":"Underwater scene prior inspired deep underwater image and video enhancement,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.627411Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:39f6655052b6d08842d7a264a8d6aac0a1c50c6923cea3b4d3bbef2520058105","observation_id":"bf06ba02-36be-461f-83b9-e3c850421364","resolution":{"observed_at":"2026-08-12T05:03:22.627411Z","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":"2026-08-12T05:03:27.256164Z","title":"An underwater image enhancement benchmark dataset and beyond,","venue":null,"work_id":"43e7971d-655f-4b51-8015-c5d5c1309824","year":2019},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.635779Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:8d6278ea2e61899ba17c764e851fea826a6325442830bed9a5405b13992d7eac","observation_id":"32fdbd21-f1d0-414a-a050-8f105aaa9acf","resolution":{"observed_at":"2026-08-12T05:03:27.300913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:27.223360Z","title":"Domain adversarial learning towards underwater image enhancement,","venue":null,"work_id":"e1bd049c-533b-4f1f-b61c-c80f632b2a17","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.693272Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:93f3c0ce18ae4cddb875ab42eb1cd9556519837fa81bb74fbd3e79d0e0d6c944","observation_id":"b621e9af-b4b8-403a-9c0e-f8c9827869f8","resolution":{"observed_at":"2026-08-12T05:03:27.236202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:22.790483Z","title":"U-shape transformer for underwater image enhancement,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.790483Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:4975971899585d59154d8de5676e1b8ed01f0fa8542a3e2ba2b9be6c81c9ec0d","observation_id":"1e76742b-4f2f-4bd0-bf50-72e1d4aeadef","resolution":{"observed_at":"2026-08-12T05:03:22.790483Z","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":"2026-08-12T05:03:27.110866Z","title":"UVEB: A large-scale benchmark and baseline towards real-world underwater video enhancement,","venue":null,"work_id":"324063e8-4ace-4d19-82ad-b1a394724f95","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.805350Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:c1e2f25e0cb7813e8ddb2bf2240c506418e08e0e7e27ca3466c25e9f1531bfc2","observation_id":"68155d90-6fd9-41ab-ab08-81fe699261e0","resolution":{"observed_at":"2026-08-12T05:03:27.167331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:27.013791Z","title":"Fast underwater image enhancement for improved visual perception,","venue":null,"work_id":"4bb1af38-5882-4c50-aa1b-fac3020d6aaf","year":2020},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.817059Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:43d7600b09ed97ffefca84f68479ae55464449e394a087053515fcfa43ed3a3c","observation_id":"7d4f5c33-015c-4337-8711-7245dbba27b8","resolution":{"observed_at":"2026-08-12T05:03:27.047829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.980133Z","title":"Self-supervised underwater image generation for underwater domain pre-training,","venue":null,"work_id":"60da68f7-a8d0-436e-b3a4-498da5872c01","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.825709Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:ddf6674676a9a8ad271a14d0cbea3e8a751fe78f8801247457786e0feb74e0ca","observation_id":"b2ab770a-dd3f-4e69-805d-30aa5899cbbf","resolution":{"observed_at":"2026-08-12T05:03:26.990170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:22.880043Z","title":"A systematic review and analysis of deep learning-based underwater object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:22.880043Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:621ecc7a640697730c94369e66ebb2f2e8dd57013faa99bc8dc39efb5c0d15ad","observation_id":"0760d1f4-4c5a-4367-9dbe-ac8d8a007a16","resolution":{"observed_at":"2026-08-12T05:03:22.880043Z","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":"2026-08-12T05:03:26.885080Z","title":"Is underwater image enhancement all object detectors need?","venue":null,"work_id":"8101481f-09a0-4c78-93ef-236bbdd3fd3f","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.008981Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:c5c5eb93c56a28a74e99d727e702459618ea5204cbf4d6c722dd22eabb802b53","observation_id":"93f6756c-ee3b-43b6-b147-b11bd6f9eb0c","resolution":{"observed_at":"2026-08-12T05:03:26.911360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.789875Z","title":"UW- CycleGAN: Model-driven cyclegan for underwater image restoration,","venue":null,"work_id":"593b3aa3-091f-4b9a-8935-94daf8697dba","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.048325Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:e4548bd8f18bcfc1530ef08d25b725bf14cbd8a9d5b47e189f53ddc51cd5b1ba","observation_id":"dfa3f2ee-06e9-453d-845b-cab18fc7fa42","resolution":{"observed_at":"2026-08-12T05:03:26.836868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:23.056695Z","title":"Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwa- ter image enhancement,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.056695Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:3e717d56fd8ddc15890c9aa71351b5f95e26058f0018556ad18c2aa2c0f59d44","observation_id":"26a6dbff-56c7-48c3-96c5-e93e94563f83","resolution":{"observed_at":"2026-08-12T05:03:23.056695Z","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":"2026-08-12T05:03:26.743003Z","title":"CURE-Net: a cascaded deep network for underwater image enhancement,","venue":null,"work_id":"7d0a63b5-8c29-41a8-ac09-cc9eaaa90c4c","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.068289Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:e1ef5e6b9a5564490326dc958da29724dbd59f0814fe9427acd76d3777b4c34f","observation_id":"6552506c-9655-4539-9dc9-6b2d3f2a38c5","resolution":{"observed_at":"2026-08-12T05:03:26.751920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.637884Z","title":"A lightweight object detection framework for underwater imagery with joint image restoration and color transformation,","venue":null,"work_id":"bf75d837-f67f-4a3f-b197-5067eeec1f6a","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.080425Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:03a82278093c037fdc4af8d9b9b98ee751588c82d2b07b3d245915233cd703e9","observation_id":"a787cd82-1063-4ae3-a0ed-24f7c2de010d","resolution":{"observed_at":"2026-08-12T05:03:26.693810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.614435Z","title":"Unitmodule: A lightweight joint image enhancement module for underwater object detection,","venue":null,"work_id":"ea9d8fdd-52e4-47a4-913e-a80a225d4036","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.093416Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:49a93980845c7721e8434adf142c53d18e65d6b77ae9e8108d0c76f4b4085dc8","observation_id":"2e08d6e8-b20d-4037-beff-75da95e38c8b","resolution":{"observed_at":"2026-08-12T05:03:26.622159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.558768Z","title":"Yolotrashcan: A deep learning marine debris detection network,","venue":null,"work_id":"e767f62f-706f-48a9-a833-5c9f6669831c","year":2022},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.181139Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:c622ad43873e9b0048c0aafc1f824632381e3fe2592662a242cf3d31951c9fef","observation_id":"54d8b0b8-5e3f-44b4-aba7-1414d8a357db","resolution":{"observed_at":"2026-08-12T05:03:26.602054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.466599Z","title":"Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy,","venue":null,"work_id":"fc30c55f-9d13-478f-b681-94e9099097bc","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.202816Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:f57cb705ecbdf484c0d6475608c66d2bc8cea3b3aeb86c0aeb2929a827b8449d","observation_id":"00f56870-cace-40d8-b40d-62a675ec663b","resolution":{"observed_at":"2026-08-12T05:03:26.478296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:26.365285Z","title":"A dual-branch joint learning network for underwater object detection,","venue":null,"work_id":"d3f80b7d-09bf-4155-ac20-ef7597194dd5","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.210096Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:6b6c1c54a740f1e0220cf44a3df909f6149a55bf43bfefdf98f296ff1c37faa9","observation_id":"173ce857-9724-4b8e-a226-7d0654458bfb","resolution":{"observed_at":"2026-08-12T05:03:26.440617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:23.219669Z","title":"A reinforcement learning paradigm of configuring visual enhancement for object detection in underwater scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.219669Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:351d6d1510a0777ad0471365cee800add790d3aff7609a272a13022ce1f92dd5","observation_id":"4c16c02e-a16b-4434-8a47-b7d1d16c56d4","resolution":{"observed_at":"2026-08-12T05:03:23.219669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.15159","last_updated":"2022-10-06T14:19:13Z","snapshot_observed_at":"2026-08-16T16:27:59.902710Z","submitted_at":"2022-09-30T01:04:10Z","title":"MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.15159","snapshot_observed_at":"2026-08-12T05:03:23.232271Z","title":"Mobilevitv3: Mobile-friendly vision transformer with simple and effective fusion of local, global and input features,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.232271Z"},"links":{"cited_paper":"/paper/2209.15159","citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:3f2aae3e9485b60ad2b517693213faba28d760223ce1abba85523d96ffa32715","observation_id":"8311ecf8-5825-4f14-9627-7a6424b5da3b","resolution":{"observed_at":"2026-08-12T05:03:23.232271Z","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":"2026-08-12T05:03:26.222005Z","title":"Refined defect detector with deformable transformer and pyramid feature fusion for pcb detection,","venue":null,"work_id":"2e8ee437-3137-47e1-97e7-4f3ed54127de","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.318317Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:08596643d102ad36bda5212a4e03545cee6349698d296412905b653fe7827a70","observation_id":"6f317040-fd59-4783-a371-5be7cbdcf7e7","resolution":{"observed_at":"2026-08-12T05:03:26.263675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:25.995026Z","title":"Ad-yolo: A real- time yolo network with swin transformer and attention mechanism for airport scene detection,","venue":null,"work_id":"04bc9f16-c44b-4343-ad39-26832c600a4d","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.379340Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:9fcf41424279446f6a6ea2f53a350bb7f50a1676f81da2337b773e31f207a266","observation_id":"7e1812dd-b3e8-4b03-9a82-e2ec912c63ab","resolution":{"observed_at":"2026-08-12T05:03:26.073993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:25.922053Z","title":"Visibility in bad weather from a single image,","venue":null,"work_id":"7596f83e-4c10-49f8-bc79-e60dfd4c4104","year":2008},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.390075Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:1e2699fcec46853b5cbebfc72a0d69ad8e1104ddaeaa49c0a614af0183d2a787","observation_id":"bdd0b228-393c-475f-a942-686958e14e5a","resolution":{"observed_at":"2026-08-12T05:03:25.969990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:25.801563Z","title":"Underwater image enhancement by wavelength compensation and dehazing,","venue":null,"work_id":"741c3674-edef-4f5e-aca6-d3d50541640e","year":2011},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.398992Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:ffd6203fee85de60b09cd277bcc63da3d487199cebbd8f292e4cfb98d469efa4","observation_id":"6414f9bc-74fb-4ac9-8bd3-b2197368a460","resolution":{"observed_at":"2026-08-12T05:03:25.829900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:23.405638Z","title":"ultralytics/yolov5: v6. 2-yolov5 classification models, apple m1, reproducibility, clearml and deci. ai integrations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.405638Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:d5a3210f5362db1c0d9c8d6567da1e0d9e8b19f97a6fff495b437a38451e5925","observation_id":"54c8010b-3b37-4335-9147-ac96ddbba5a2","resolution":{"observed_at":"2026-08-12T05:03:23.405638Z","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":"2026-08-12T05:03:25.744106Z","title":"Deriving inherent optical properties from background color and underwater image enhancement,","venue":null,"work_id":"41004b21-b85c-4cc3-8a6f-502cd1af3b0c","year":2015},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.485646Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:d67d7cd58dfe2083ca1d04ac07c173470c1400d6c5f3537f8822effba6b6d616","observation_id":"6c8fdc0a-3c75-403c-a33b-58349921e3c7","resolution":{"observed_at":"2026-08-12T05:03:25.760205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:25.540127Z","title":"Indoor scene segmentation using a structured light sensor,","venue":null,"work_id":"f13f646c-4114-410e-8a5a-1a2776e88325","year":2011},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.608242Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:1913035d2f7c46a26f50cebb64eb40f9dd4799d9a9631b1f315c9b163c3ebb35","observation_id":"dd1ce07b-b0aa-484b-bd2c-bda63243100d","resolution":{"observed_at":"2026-08-12T05:03:25.623179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:23.615336Z","title":"Light and water: Radiative transfer in natural waters,","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.615336Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:52ba6de2be6594772f428fd21ce1ee40f4703d4ee496360f9f2fed21d004a2c7","observation_id":"42ae034c-dfd0-40d4-8ee6-0c83388488c3","resolution":{"observed_at":"2026-08-12T05:03:23.615336Z","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":"2026-08-12T05:03:25.479779Z","title":"Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries,","venue":null,"work_id":"666871c6-3348-4378-bf43-c92dd1eae580","year":2019},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.621830Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:095d887d7221d4e7188d024d8c9748a43a7510d693283c14a53d26dd6f0862a4","observation_id":"62c92372-cf33-414e-a20c-ea08da68251a","resolution":{"observed_at":"2026-08-12T05:03:25.509349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:25.219417Z","title":"An efficient advanced- yolov8 framework for thz object detection,","venue":null,"work_id":"fb38727d-1dbe-4e02-801e-cffdfe547998","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.629442Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:631beaa9c420df93706b0bb7fffcee414a8de694ae29068a2b837b6a638d8838","observation_id":"8cd9578f-e1ac-4ea5-9f01-a5a3495047ef","resolution":{"observed_at":"2026-08-12T05:03:25.356216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:25.191450Z","title":"Sea-thru: A method for removing water from underwater images,","venue":null,"work_id":"2cc53413-81fc-4484-b336-60e5e4a12cba","year":2019},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.737208Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:2725e5975e596b2af5b23051f041e6f949c3ed64c209cebac3e1c3ebf69ae945","observation_id":"809596bf-547b-46a3-8754-79cd52fbb7b7","resolution":{"observed_at":"2026-08-12T05:03:25.200191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.06819","last_updated":"2019-06-30T02:25:13Z","snapshot_observed_at":"2026-08-14T16:14:48.933432Z","submitted_at":"2019-06-17T02:41:42Z","title":"A Fusion Adversarial Underwater Image Enhancement Network with a Public Test Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.06819","snapshot_observed_at":"2026-08-12T05:03:23.842009Z","title":"A fusion adversarial underwater im- age enhancement network with a public test dataset,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.842009Z"},"links":{"cited_paper":"/paper/1906.06819","citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:19e038e9803c23c0603ab59c8c7d0adcab76ff8259558b174e973ed16737e7fc","observation_id":"ed20c965-3bc4-4e8c-b2ac-cbb056c9f013","resolution":{"observed_at":"2026-08-12T05:03:23.842009Z","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":"2026-08-12T05:03:25.075552Z","title":"A dataset to evaluate underwater image restoration methods,","venue":null,"work_id":"15f15e78-4499-4928-9f0e-cc0f220af441","year":2016},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.862303Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:2d9c86dd0db42b5477556c40c5b296634a1a3b78815b95c8dc33dacd98296f36","observation_id":"621edb32-697d-44e4-9c5f-a39f24d23725","resolution":{"observed_at":"2026-08-12T05:03:25.141030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:23.871416Z","title":"Underwater image enhancement via medium transmission-guided multi-color space embedding,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.871416Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:6c70fc07e2d063e7ea17793312b143b653335e2cb77a8d61876e2253006ef877","observation_id":"25c531b9-091c-4227-bb3c-31ce1e08a986","resolution":{"observed_at":"2026-08-12T05:03:23.871416Z","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":"2026-08-12T05:03:23.877007Z","title":"Twin adversarial contrastive learning for underwater image enhancement and beyond,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.877007Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:37b1d6bf39f053b74f3bcbbb8cc476a55150b91f4d968cd4e2fba29d69c84132","observation_id":"4f4407d8-d817-4eaa-8f76-7a1b8be81c64","resolution":{"observed_at":"2026-08-12T05:03:23.877007Z","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":"2026-08-12T05:03:23.887698Z","title":"Domain adaptation for underwater image enhancement,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.887698Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:55d3c7acfe4c707fc511f2879ef3cd0efdcff692eb82daf61cc94cd2bcfc6692","observation_id":"1d1e10ab-6721-41c3-8083-f678b91a6ba1","resolution":{"observed_at":"2026-08-12T05:03:23.887698Z","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":"2026-08-12T05:03:23.895489Z","title":"An underwater color image quality evaluation metric,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.895489Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:f571134b791ad67af22b6cf3606ccae27d9796b1e7b3b8a483cb5794a8d883ff","observation_id":"c0575187-4790-4e34-8443-350c09ccc62d","resolution":{"observed_at":"2026-08-12T05:03:23.895489Z","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":"2026-08-12T05:03:24.967239Z","title":"Human-visual-system-inspired underwater image quality measures,","venue":null,"work_id":"45a5105b-ff93-465c-bdb6-9d2c803b5d20","year":2015},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:23.904936Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:2f1d785a50805b636a0e9ac07bc505d4589cd4160bb450695777b27fbfefc84b","observation_id":"92d15b1b-d282-47ff-a461-78aee6c5de5a","resolution":{"observed_at":"2026-08-12T05:03:24.982962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:24.859128Z","title":"Rethinking general underwater object detection: Datasets, challenges, and solutions,","venue":null,"work_id":"15b35a6c-3a08-44f9-a856-7c5bdcfb99c3","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:24.007638Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:264b8af0e8dcbb22a74214d3ce0d0d388ff778fbaf8305a682b0a1873894b041","observation_id":"07ff5235-adb1-4d41-bca5-fcdc83025e13","resolution":{"observed_at":"2026-08-12T05:03:24.938057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:24.748574Z","title":"A dataset and benchmark of underwater object detection for robot picking,","venue":null,"work_id":"976b3728-2277-4090-9e99-67b810d0678c","year":2021},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:24.149884Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:e688cfc7825a023e573a83fc4ca496537d63e5d0bef97ed2a8aae438fd4b8ee5","observation_id":"560d217d-7899-4adf-8a5e-f373be4deb8e","resolution":{"observed_at":"2026-08-12T05:03:24.756181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:24.719874Z","title":"A gated cross-domain collaborative network for underwater object detection,","venue":null,"work_id":"8970e22e-22a7-411e-807a-1ddb77939d01","year":2024},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:24.164988Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:482aa53ff5e2635d27ddecc68c117acbf793a61a12993860331730924b289314","observation_id":"083c8046-9ac1-4f1a-a2fe-9624e7b5d674","resolution":{"observed_at":"2026-08-12T05:03:24.730385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:24.514325Z","title":"Learning heavily- degraded prior for underwater object detection,","venue":null,"work_id":"9ea9d2f4-9ac7-4c52-a6cc-da348fc67f56","year":2023},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:24.176467Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:30bf0b9482e5fa9e1c964b37c98ad4f595b31cb23f6bf9fe60b53e62252361e5","observation_id":"b37305f6-2207-4b40-90f4-7ba0aa7dbec9","resolution":{"observed_at":"2026-08-12T05:03:24.648758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:24.324953Z","title":"Her research interests include numerical optimization, computer vision, and image processing","venue":null,"work_id":"f0318e23-8552-4c86-a8f0-ff31413c6196","year":null},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:24.196174Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:0eb10ca5ea583a9bf9e90ababa9d62e425aae81eb2210802323a94c06a637184","observation_id":"cd0c9ad9-2078-4aea-8688-a316fe360802","resolution":{"observed_at":"2026-08-12T05:03:24.422992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T05:03:24.450290Z","title":"His research interests include computer vi- sion and image processing","venue":null,"work_id":"7a5c28f7-29e7-4adf-a51b-f33e66356216","year":2013},"citing_paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T05:03:24.184365Z"},"links":{"citing_paper":"/paper/2412.07009"},"observation_digest":"sha256:676e2599ddfbf41e92ee49d2ba0ddd1c19ecfe7639535138db62c8c9633f432e","observation_id":"e6a38a71-3a4d-4064-b81d-828dab5bbb88","resolution":{"observed_at":"2026-08-12T05:03:24.458125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.07009","last_updated":"2025-04-06T12:37:41Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T10:21:13.412111Z","submitted_at":"2024-12-01T14:01:30Z","title":"LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":44},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.07009."}