Paper Citation Record · LEDGER

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2502.05788.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.05788 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:02:48.351095Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:44:01.746455Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T21:44:04.330363Z

Reference resolution

36 of 36 outbound references displayed

verified exact15
verified fuzzy6
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2a77037-6eca-4794-8f61-29c2133ee154 · outbound

This paper cites Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella Aurita Species along the Mediterranean Coast of Egypt.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella Aurita Species along the Mediterranean Coast of Egypt

Reference 2

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.552218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df37eaf2-e099-495b-8ae8-ecb145142caa · outbound

This paper cites an unresolved cited work.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.541034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0688deb4-1526-47c8-a643-2b6125fe6c29 · outbound

This paper cites A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection

Reference 4

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.530466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a539052-1a2a-4776-99ee-98bd205d09b3 · outbound

This paper cites Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denois- ing.Engineering Applications of Artificial Intelligence 2022 , 111, 104759.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denois- ing.Engineering Applications of Artificial Intelligence 2022 , 111, 104759

Reference 5

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Source-reported events for the cited work

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Observation a67100ee-eef6-4a1d-8a72-df224bbee5bd · outbound

This paper cites Enhanced Frequency Fusion Network with Dynamic Hash Attention for Image Denoising.Information Fusion 2023 , 92, 420–434.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Enhanced Frequency Fusion Network with Dynamic Hash Attention for Image Denoising.Information Fusion 2023 , 92, 420–434

Reference 6

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.519271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38a5f6a8-9a24-4f1e-8656-43c40031adc6 · outbound

This paper cites Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset 2020.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:02:49.253748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dab6072e-daaf-4d45-8999-ce0d15bc1855 · outbound

This paper cites an unresolved cited work.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:02:49.242460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b86417e-ec43-43ff-9f11-640574c19ed1 · outbound

This paper cites Feature Pyramid Networks for Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Feature Pyramid Networks for Object Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.233314Z

Source-reported events for the cited work

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Observation 083d3adc-56f1-4afe-a80e-222b987db426 · outbound

This paper cites NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.237193Z

Source-reported events for the cited work

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Observation 9bc63048-ffaa-4a21-9bdb-7ac0a47c0d2f · outbound

This paper cites EfficientDet: Scalable and Efficient Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism EfficientDet: Scalable and Efficient Object Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.241240Z

Source-reported events for the cited work

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Observation 5defe374-f9ff-4503-9cfc-31e3518b0eee · outbound

This paper cites CARAFE: Content-Aware ReAssembly of FEatures.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism CARAFE: Content-Aware ReAssembly of FEatures

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-08T18:02:48.958717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8c3bd35-e6a8-4f1b-96d9-f44316edf4bc · outbound

This paper cites YOLOv8 by Ultralytics.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv8 by Ultralytics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:02:49.231422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d5c811e-66dd-40f2-a982-06ca257e1a88 · outbound

This paper cites Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:02:49.220301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef4a1a02-1e5c-455b-91bf-eb6f8fe99013 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.264230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a24d70-f4f7-4ff7-9272-91139c9b3004 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism You Only Look Once: Unified, Real-Time Object Detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.268254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7277db-4d8a-424b-a3ed-c1b86423272c · outbound

This paper cites YOLO9000: Better, Faster, Stronger.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLO9000: Better, Faster, Stronger

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.272138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bef2874-62cb-4edf-9bb2-9147eaaa8287 · outbound

This paper cites YOLOv3: An Incremental Improvement.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv3: An Incremental Improvement

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.276432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d468e676-506c-4c0d-90cf-14cfe6608660 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.280631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0b1b01-e62c-4e58-bd4d-304f34ba43d1 · outbound

This paper cites YOLOv5 by Ultralytics.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv5 by Ultralytics

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:02:49.208864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2dd3f4cc-5fc9-4113-99eb-37ddce565a85 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.288561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8436c68-cac4-45a5-ad82-47aecb451917 · outbound

This paper cites YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real- Time Object Detectors.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real- Time Object Detectors

Reference 24

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T18:02:48.868381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ee5b923-309a-4207-bee0-fa609818c84a · outbound

This paper cites SSD: Single Shot MultiBox Detector.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism SSD: Single Shot MultiBox Detector

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:02:49.197042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 67806a20-98ae-468f-8f70-7f46f9406e7d · outbound

This paper cites Focal Loss for Dense Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Focal Loss for Dense Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.300035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43cffd6e-472f-41db-ae15-0a580a55e5a9 · outbound

This paper cites Underwater Object Detection Using TC-YOLO with Attention Mechanisms.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Underwater Object Detection Using TC-YOLO with Attention Mechanisms

Reference 27

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.474463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05b22e29-4a7a-470b-b3ad-abcd1a7e5e27 · outbound

This paper cites Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features

Reference 28

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.464008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cecaf26-e827-4d14-b0f8-aa8a2a6c8875 · outbound

This paper cites Student Behavior Detection in the Classroom Based on Improved YOLOv8.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Student Behavior Detection in the Classroom Based on Improved YOLOv8

Reference 29

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.452788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e1d5f85-776c-48ba-9406-ad67ab7da2e7 · outbound

This paper cites CBAM: Convolutional Block Attention Module.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism CBAM: Convolutional Block Attention Module

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:02:49.183274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dcd7c136-61fe-41a7-b121-46f1095dda53 · outbound

This paper cites Residual Attention Network for Image Classification.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Residual Attention Network for Image Classification

Reference 31

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.440805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 245740ec-e44d-46b9-b57e-be98828dfe42 · outbound

This paper cites Meta-SR: A Magnification-Arbitrary Network for Super-Resolution.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.327223Z

Source-reported events for the cited work

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Observation f67792e5-5842-486b-b94b-aec7dac7cb57 · outbound

This paper cites Cattle Body Detection Based on YOLOv5-EMA for Precision Livestock Farming.Animals 2023, 13, 3535.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Cattle Body Detection Based on YOLOv5-EMA for Precision Livestock Farming.Animals 2023, 13, 3535

Reference 33

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.428638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d107ace9-e713-4061-9acf-76d44b08e142 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 34

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T18:02:48.657993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e648ac9-95d2-42ee-b830-cc66ccfcc7de · outbound

This paper cites MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention.Sensors 2023, 23, 6811.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention.Sensors 2023, 23, 6811

Reference 35

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.416851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 473d30b3-648d-4a54-a31a-d02db62b2437 · outbound

This paper cites Transformer-Based Object Detection with Deep Feature Fusion Using Carafe Operator in Remote Sensing Image.EAI Endorsed Transactions on Energy Web2023, 10.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Transformer-Based Object Detection with Deep Feature Fusion Using Carafe Operator in Remote Sensing Image.EAI Endorsed Transactions on Energy Web2023, 10

Reference 36

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.404497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f30ae92-7d75-4641-81ec-ab0d84be034c · outbound

This paper cites Boosting R-CNN: Reweighting R-CNN Samples by RPN’s Error for Underwater Object Detection.Neurocomputing 2023 , 530, 150–164.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Boosting R-CNN: Reweighting R-CNN Samples by RPN’s Error for Underwater Object Detection.Neurocomputing 2023 , 530, 150–164

Reference 37

Resolution: verified exact; doi, observed 2026-08-08T18:02:48.391759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc3bbd11-995b-4774-b9a1-e27df58f8356 · outbound

This paper cites An Improved YOLOv5-Based Underwater Object-Detection Framework.Sensors 2023, 23, 3693.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism An Improved YOLOv5-Based Underwater Object-Detection Framework.Sensors 2023, 23, 3693

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.351095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd5ffa0a-f10b-4768-ac14-baab0bc84055 · outbound

This paper cites an unresolved cited work.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Unresolved cited work

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:48.260523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3fc2769c-ea9a-486d-b88c-1b8c41c288d0 · inbound

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation cites this paper.

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:44:04.426029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.