{"as_of":"2026-08-10T17:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b1aa7ccc4094297eb41395489c0a314477c4c3dfb656be1746ba0ae044f15782","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:02:48.351095Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:44:01.746455Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T21:44:04.330363Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"cited_work":{"arxiv_id":"2502.05788","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.05788","snapshot_observed_at":"2026-08-06T21:44:04.330363Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","venue":"cs.CV","work_id":"e57f0900-c2a3-47ad-81a4-ba6bdeb42d3f","year":2025},"citing_paper":{"arxiv_id":"2506.23505","last_updated":"2025-06-30T04:06:50Z","snapshot_observed_at":"2026-08-08T06:27:15.192845Z","submitted_at":"2025-06-30T04:06:50Z","title":"Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:44:01.746455Z"},"links":{"cited_paper":"/paper/2502.05788","citing_paper":"/paper/2506.23505"},"observation_digest":"sha256:844b34b946bb4614e516826c102131f3cb3f2ff8422b1b6befa64a18b810e11f","observation_id":"3fc2769c-ea9a-486d-b88c-1b8c41c288d0","resolution":{"observed_at":"2026-08-06T21:44:04.426029Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.05788/citation-record","integrity":"/paper/2502.05788/integrity","json":"/paper/2502.05788/citation-record.json","paper":"/paper/2502.05788"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/fishes7030097","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella Aurita Species along the Mediterranean Coast of Egypt","venue":"Fishes","work_id":"28da3318-fbde-441e-94d2-f3a6d03313b3","year":2022},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.199964Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:1d3e2e53dd4731d2914e67c5672b4eb5ba36bfdd02b52cd20e8a0ba653163e55","observation_id":"c2a77037-6eca-4794-8f61-29c2133ee154","resolution":{"observed_at":"2026-08-08T18:02:48.552218Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.heliyon.2022.e08975","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Heliyon","work_id":"448cab5b-928f-4e42-9bb6-4dbc52db6d2d","year":2022},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.204387Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:faab994035ea84b35ce8010390f91c92c1face4865cf8633c5d7a5897f7a8a88","observation_id":"df37eaf2-e099-495b-8ae8-ecb145142caa","resolution":{"observed_at":"2026-08-08T18:02:48.541034Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s21217205","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection","venue":"Sensors","work_id":"8b37e811-44f5-40ab-95be-c45f8fcc5518","year":2021},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.208942Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:11019146a0d25b410e8abcef753394f969e064815940d33cbdd5395121d8f341","observation_id":"0688deb4-1526-47c8-a643-2b6125fe6c29","resolution":{"observed_at":"2026-08-08T18:02:48.530466Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.10475","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:02:49.165479Z","title":"Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denois- ing.Engineering Applications of Artificial Intelligence 2022 , 111, 104759","venue":null,"work_id":"6f7a878d-12a5-42ac-843c-ebf59cd652f5","year":2022},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.213334Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:24b9d0526950b5add3e842ea02ee6f51ac54a9a0a43ae8a77a7a26b3ec3c3ab2","observation_id":"1a539052-1a2a-4776-99ee-98bd205d09b3","resolution":{"observed_at":"2026-08-08T18:02:49.171724Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.inffus.2022.12.015","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Enhanced Frequency Fusion Network with Dynamic Hash Attention for Image Denoising.Information Fusion 2023 , 92, 420–434","venue":"Information Fusion","work_id":"8b8272aa-112d-4b09-a804-d1d2d111b13a","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.217242Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:1660f709034b0ade10bf24de862b1fc44746f3b79a3106d7cf0d706d53edf673","observation_id":"a67100ee-eef6-4a1d-8a72-df224bbee5bd","resolution":{"observed_at":"2026-08-08T18:02:48.519271Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:49.249756Z","title":"Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset 2020","venue":null,"work_id":"46d8bc05-700f-4efe-a258-1c2976e39427","year":2020},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.221590Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:0ca4365638649b86072ad9636f02e2009c26e596553f3161069eed8404636be9","observation_id":"38a5f6a8-9a24-4f1e-8656-43c40031adc6","resolution":{"observed_at":"2026-08-08T18:02:49.253748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:49.238821Z","title":null,"venue":null,"work_id":"ae0db667-28f1-4700-b98d-c7e0ba58f862","year":2014},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.229315Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:c190621bcef295b056a67f81bef94a63c024e6a075c0792a77b0d7d74dc7dbaa","observation_id":"dab6072e-daaf-4d45-8999-ce0d15bc1855","resolution":{"observed_at":"2026-08-08T18:02:49.242460Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:48.233314Z","title":"Feature Pyramid Networks for Object Detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.233314Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:74682284763fc38b00e878cbb5c379f2625f282db46c13e5bed8e2c498ac4f8b","observation_id":"3b86417e-ec43-43ff-9f11-640574c19ed1","resolution":{"observed_at":"2026-08-08T18:02:48.233314Z","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":"2026-08-08T18:02:48.237193Z","title":"NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.237193Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:0bca23ee92d03c4ad3ac7e3c3d5c9b2f97b4194be718ae86a6d07cfa542686d1","observation_id":"083d3adc-56f1-4afe-a80e-222b987db426","resolution":{"observed_at":"2026-08-08T18:02:48.237193Z","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":"2026-08-08T18:02:48.241240Z","title":"EfficientDet: Scalable and Efficient Object Detection","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.241240Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:fd81a5e9151920e61e3d2358e72bfac3f1abaf8a6f4526202ea2f2e3c1017eee","observation_id":"9bc63048-ffaa-4a21-9bdb-7ac0a47c0d2f","resolution":{"observed_at":"2026-08-08T18:02:48.241240Z","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":"2019.00310","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:02:48.951822Z","title":"CARAFE: Content-Aware ReAssembly of FEatures","venue":null,"work_id":"ee2d0384-e9cc-4919-b22a-c3e44be8df46","year":2019},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.245077Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:b6f0241f68994c42c7246a91e9942ef9e9d5b3aede20f9ed99eb00bd62f75a65","observation_id":"5defe374-f9ff-4503-9cfc-31e3518b0eee","resolution":{"observed_at":"2026-08-08T18:02:48.958717Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:49.227587Z","title":"YOLOv8 by Ultralytics","venue":null,"work_id":"95adab12-8fcd-4db8-bd6a-b6214c3effad","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.248954Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:55cc9804f12d4d018c61b7beacb4f741176c81b70d3bd8d6cf5cc8df4a26ebd9","observation_id":"a8c3bd35-e6a8-4f1b-96d9-f44316edf4bc","resolution":{"observed_at":"2026-08-08T18:02:49.231422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:49.216218Z","title":"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation","venue":null,"work_id":"e90e3c43-9bde-4b61-9a7e-8be3d4703e63","year":2014},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.256618Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:0e55eeea42fa3d0c1866716c9882799cd8ccb5bf71d70f9502f4212698a93042","observation_id":"1d5c811e-66dd-40f2-a982-06ca257e1a88","resolution":{"observed_at":"2026-08-08T18:02:49.220301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:48.264230Z","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.264230Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:90643372e261b8ecc9b66320548b499db58e6275ebaf7d9998ed2097054c7f01","observation_id":"ef4a1a02-1e5c-455b-91bf-eb6f8fe99013","resolution":{"observed_at":"2026-08-08T18:02:48.264230Z","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":"2026-08-08T18:02:48.268254Z","title":"You Only Look Once: Unified, Real-Time Object Detection","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.268254Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:7311f9302bc8d219a9969cb0387079dae193d6a330813c81be4a18b62bf091e5","observation_id":"d5a24d70-f4f7-4ff7-9272-91139c9b3004","resolution":{"observed_at":"2026-08-08T18:02:48.268254Z","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":"2026-08-08T18:02:48.272138Z","title":"YOLO9000: Better, Faster, Stronger","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.272138Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:96c820b277b46697233e2e7c182b95bd8853c33283474c7c209bc6027029cc8e","observation_id":"8f7277db-4d8a-424b-a3ed-c1b86423272c","resolution":{"observed_at":"2026-08-08T18:02:48.272138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.02767","last_updated":"2018-04-08T22:27:57Z","snapshot_observed_at":"2026-08-06T11:09:16.409556Z","submitted_at":"2018-04-08T22:27:57Z","title":"YOLOv3: An Incremental Improvement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.02767","snapshot_observed_at":"2026-08-08T18:02:48.276432Z","title":"Yolov3: An incremental improvement","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.276432Z"},"links":{"cited_paper":"/paper/1804.02767","citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:954389331c68fae0b59632ba32fa367fa230ca51891797063d8300474d1c9931","observation_id":"7bef2874-62cb-4edf-9bb2-9147eaaa8287","resolution":{"observed_at":"2026-08-08T18:02:48.276432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10934","last_updated":"2020-04-23T02:10:02Z","snapshot_observed_at":"2026-07-06T09:14:32.318388Z","submitted_at":"2020-04-23T02:10:02Z","title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.10934","snapshot_observed_at":"2026-08-08T18:02:48.280631Z","title":"Yolov4: Optimal speed and accuracy of object detection","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.280631Z"},"links":{"cited_paper":"/paper/2004.10934","citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:305076da5e2235b79de5d60a2802eba171469b12f7564a61a9cf738a450f07b9","observation_id":"d468e676-506c-4c0d-90cf-14cfe6608660","resolution":{"observed_at":"2026-08-08T18:02:48.280631Z","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":"2026-08-08T18:02:49.204847Z","title":"YOLOv5 by Ultralytics","venue":null,"work_id":"d839b47f-aacd-4827-a9e4-c118d6076047","year":2022},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.284735Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:419caae96b027aba9c309edda204f884f73361a560d2f87ca6319d4ad15c7133","observation_id":"8b0b1b01-e62c-4e58-bd4d-304f34ba43d1","resolution":{"observed_at":"2026-08-08T18:02:49.208864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.02976","last_updated":"2022-09-07T07:47:58Z","snapshot_observed_at":"2026-08-09T12:24:39.057546Z","submitted_at":"2022-09-07T07:47:58Z","title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.02976","snapshot_observed_at":"2026-08-08T18:02:48.288561Z","title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications 2022.arXiv 2022, arXiv:2209.02976","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.288561Z"},"links":{"cited_paper":"/paper/2209.02976","citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:8284941abfb20e43629648397aed7c22d65e3a505dd45b547d13d47d8b6883cf","observation_id":"2dd3f4cc-5fc9-4113-99eb-37ddce565a85","resolution":{"observed_at":"2026-08-08T18:02:48.288561Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:02:48.864503Z","title":"YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real- Time Object Detectors","venue":null,"work_id":"bfab90dd-2ffa-4d8e-9fd1-a8b0fba657a7","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.292584Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:3425081f1e57e7440abca4564d7569d2c330b81f801b0e95b6b0be4b6e73e625","observation_id":"d8436c68-cac4-45a5-ad82-47aecb451917","resolution":{"observed_at":"2026-08-08T18:02:48.868381Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:49.193176Z","title":"SSD: Single Shot MultiBox Detector","venue":null,"work_id":"3f23ae51-77a7-48d1-8890-80679e2a55f9","year":2016},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.296170Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:64c0a2652f2138cd539de17cc69791d55b2ce7c69b6cfc5f873fa128edd4f1e3","observation_id":"2ee5b923-309a-4207-bee0-fa609818c84a","resolution":{"observed_at":"2026-08-08T18:02:49.197042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:48.300035Z","title":"Focal Loss for Dense Object Detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.300035Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:a923b5956b9279d2007a5474ce1fccd7f9fe5fcdc6e7bce5fe7065af6968e0b0","observation_id":"67806a20-98ae-468f-8f70-7f46f9406e7d","resolution":{"observed_at":"2026-08-08T18:02:48.300035Z","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":"10.3390/s23052567","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Underwater Object Detection Using TC-YOLO with Attention Mechanisms","venue":"Sensors","work_id":"0b688da1-ae24-4410-a8dc-78975c334d90","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.304112Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:0404570d3d4dd0150f30fbbdcbde12451a70474d7ad0a7b09f0b8b25f8e22f7f","observation_id":"43cffd6e-472f-41db-ae15-0a580a55e5a9","resolution":{"observed_at":"2026-08-08T18:02:48.474463Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/app13231264","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:02:48.459950Z","title":"Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features","venue":null,"work_id":"9b66622a-7a99-4e01-92ec-8910580cd189","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.308576Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:dfe62d43b560f0d668c4cfab6f3d71b5ea67462cfe0192d80fece921fd2a00e8","observation_id":"05b22e29-4a7a-470b-b3ad-abcd1a7e5e27","resolution":{"observed_at":"2026-08-08T18:02:48.464008Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s23208385","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Student Behavior Detection in the Classroom Based on Improved YOLOv8","venue":"Sensors","work_id":"4f023375-55d9-458c-bf55-8cd70a5f587b","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.313762Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:13d6ec73fe06d0894745c6d0e5a05be7e4c93abeab4c021a24c0a6019fc395f6","observation_id":"4cecaf26-e827-4d14-b0f8-aa8a2a6c8875","resolution":{"observed_at":"2026-08-08T18:02:48.452788Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:49.179269Z","title":"CBAM: Convolutional Block Attention Module","venue":null,"work_id":"8cedba0a-d776-4211-b3d1-b3f135496e84","year":2018},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.318321Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:1c25ba9684b45e1dd44b92dcf28a0fc9652a8cb41926ea9c619cc3eb33e8e220","observation_id":"7e1d5f85-776c-48ba-9406-ad67ab7da2e7","resolution":{"observed_at":"2026-08-08T18:02:49.183274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/cvpr.2017.683","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Residual Attention Network for Image Classification","venue":null,"work_id":"fc4f9bf8-e795-4439-9bb5-aac460b131d9","year":2017},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.323409Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:2c82cc5722849369088ff77234e4d641d28685e9d7734aae1468963bf17d5732","observation_id":"dcd7c136-61fe-41a7-b121-46f1095dda53","resolution":{"observed_at":"2026-08-08T18:02:48.440805Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:48.327223Z","title":"Meta-SR: A Magnification-Arbitrary Network for Super-Resolution","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.327223Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:75892e65ae947c87ed943d1a634992b34c2087b8d5afa033547d84b6f566f4b3","observation_id":"245740ec-e44d-46b9-b57e-be98828dfe42","resolution":{"observed_at":"2026-08-08T18:02:48.327223Z","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":"10.3390/ani13223535","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Cattle Body Detection Based on YOLOv5-EMA for Precision Livestock Farming.Animals 2023, 13, 3535","venue":"Animals","work_id":"c0bf4fb8-88d5-455a-9133-fc120d26f0bb","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.331039Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:e91ef1e08c05eaa8c9f052cc8ef20b23297ba563192742df01f6814f1a048bb3","observation_id":"f67792e5-5842-486b-b94b-aec7dac7cb57","resolution":{"observed_at":"2026-08-08T18:02:48.428638Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:02:48.653722Z","title":"MobileNetV2: Inverted Residuals and Linear Bottlenecks","venue":null,"work_id":"6e2f7d8d-5bec-4b0e-9025-9a6facd9c988","year":2018},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.335228Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:2ae867682a228e240f6df7d336ab97b0cc5f5fabc6c98f91685a5f4c35fc20a7","observation_id":"d107ace9-e713-4061-9acf-76d44b08e142","resolution":{"observed_at":"2026-08-08T18:02:48.657993Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s23156811","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention.Sensors 2023, 23, 6811","venue":"Sensors","work_id":"68fc3455-9fb6-45f9-b10a-5d106aa5a9b9","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.338918Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:8b2e1287ed203aa1a573155d64b5a7465363017cce0bfb1c37cf120c1fe70e14","observation_id":"5e648ac9-95d2-42ee-b830-cc66ccfcc7de","resolution":{"observed_at":"2026-08-08T18:02:48.416851Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4108/ew.3404","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Transformer-Based Object Detection with Deep Feature Fusion Using Carafe Operator in Remote Sensing Image.EAI Endorsed Transactions on Energy Web2023, 10","venue":"EAI Endorsed Transactions on Energy Web","work_id":"caae22e5-20d9-4851-9d55-2005d63b17b2","year":null},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.342869Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:49d7054b2fd44b38084fab26df827d89c272c023c256fb7a8fa447f8056e11fa","observation_id":"473d30b3-648d-4a54-a31a-d02db62b2437","resolution":{"observed_at":"2026-08-08T18:02:48.404497Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neucom.2023.01.088","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Boosting R-CNN: Reweighting R-CNN Samples by RPN’s Error for Underwater Object Detection.Neurocomputing 2023 , 530, 150–164","venue":"Neurocomputing","work_id":"7bafab0d-218e-4117-b884-732c4a229c3e","year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.346786Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:f6fa9791fba9600e5cbb5b4c4034e0f2551bd34788b930d32a8dda1a669462ce","observation_id":"7f30ae92-7d75-4641-81ec-ab0d84be034c","resolution":{"observed_at":"2026-08-08T18:02:48.391759Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T18:02:48.351095Z","title":"An Improved YOLOv5-Based Underwater Object-Detection Framework.Sensors 2023, 23, 3693","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.351095Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:824f97bd9e31818d0b975816fccc166253b989a3133bfa04c52d57a7084db85f","observation_id":"dc3bbd11-995b-4774-b9a1-e27df58f8356","resolution":{"observed_at":"2026-08-08T18:02:48.351095Z","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":"2026-08-08T18:02:48.260523Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-08T18:02:48.260523Z"},"links":{"citing_paper":"/paper/2502.05788"},"observation_digest":"sha256:452925b9906029a6449b7d7d8729390016b2dd1225b4429a6de0bb81f2f95a0a","observation_id":"fd5ffa0a-f10b-4768-ac14-baab0bc84055","resolution":{"observed_at":"2026-08-08T18:02:48.260523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.05788","last_updated":"2025-02-09T06:09:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T17:56:32.447399Z","submitted_at":"2025-02-09T06:09:56Z","title":"EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":14,"verified_exact":15,"verified_fuzzy":6},"total_outbound_references":36},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2502.05788."}