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Paper Citation Record · LEDGER

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

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.

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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.213334Z digest=sha256:24b9d0526950b5add3e842ea02ee6f51ac54a9a0a43ae8a77a7a26b3ec3c3ab2

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.221590Z digest=sha256:0ca4365638649b86072ad9636f02e2009c26e596553f3161069eed8404636be9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.233314Z digest=sha256:74682284763fc38b00e878cbb5c379f2625f282db46c13e5bed8e2c498ac4f8b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.237193Z digest=sha256:0bca23ee92d03c4ad3ac7e3c3d5c9b2f97b4194be718ae86a6d07cfa542686d1

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

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.256618Z digest=sha256:0e55eeea42fa3d0c1866716c9882799cd8ccb5bf71d70f9502f4212698a93042

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.264230Z digest=sha256:90643372e261b8ecc9b66320548b499db58e6275ebaf7d9998ed2097054c7f01

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.268254Z digest=sha256:7311f9302bc8d219a9969cb0387079dae193d6a330813c81be4a18b62bf091e5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.272138Z digest=sha256:96c820b277b46697233e2e7c182b95bd8853c33283474c7c209bc6027029cc8e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.276432Z digest=sha256:954389331c68fae0b59632ba32fa367fa230ca51891797063d8300474d1c9931

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.

source=pdf_text observed=2026-08-08T18:02:48.280631Z digest=sha256:305076da5e2235b79de5d60a2802eba171469b12f7564a61a9cf738a450f07b9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.284735Z digest=sha256:419caae96b027aba9c309edda204f884f73361a560d2f87ca6319d4ad15c7133

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.288561Z digest=sha256:8284941abfb20e43629648397aed7c22d65e3a505dd45b547d13d47d8b6883cf

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.292584Z digest=sha256:3425081f1e57e7440abca4564d7569d2c330b81f801b0e95b6b0be4b6e73e625

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.296170Z digest=sha256:64c0a2652f2138cd539de17cc69791d55b2ce7c69b6cfc5f873fa128edd4f1e3

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.

source=pdf_text observed=2026-08-08T18:02:48.300035Z digest=sha256:a923b5956b9279d2007a5474ce1fccd7f9fe5fcdc6e7bce5fe7065af6968e0b0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.304112Z digest=sha256:0404570d3d4dd0150f30fbbdcbde12451a70474d7ad0a7b09f0b8b25f8e22f7f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.308576Z digest=sha256:dfe62d43b560f0d668c4cfab6f3d71b5ea67462cfe0192d80fece921fd2a00e8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.313762Z digest=sha256:13d6ec73fe06d0894745c6d0e5a05be7e4c93abeab4c021a24c0a6019fc395f6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.318321Z digest=sha256:1c25ba9684b45e1dd44b92dcf28a0fc9652a8cb41926ea9c619cc3eb33e8e220

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.323409Z digest=sha256:2c82cc5722849369088ff77234e4d641d28685e9d7734aae1468963bf17d5732

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.327223Z digest=sha256:75892e65ae947c87ed943d1a634992b34c2087b8d5afa033547d84b6f566f4b3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.331039Z digest=sha256:e91ef1e08c05eaa8c9f052cc8ef20b23297ba563192742df01f6814f1a048bb3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.335228Z digest=sha256:2ae867682a228e240f6df7d336ab97b0cc5f5fabc6c98f91685a5f4c35fc20a7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T18:02:48.338918Z digest=sha256:8b2e1287ed203aa1a573155d64b5a7465363017cce0bfb1c37cf120c1fe70e14

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

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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