Paper Citation Record · LEDGER

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.10575.

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

pith.paper-citation-record.v1
2607.10575 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:43:35.408579Z

measured 39 of 39 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 92846624-51c6-4556-bd18-f38eef776c21 · outbound

This paper cites an unresolved cited work.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 6df1e771-3122-4860-9aeb-146322fc1046 · outbound

This paper cites Underwater object detection in noisy imbalanced datasets.Pattern Recognition, 155:110649, 2024.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Underwater object detection in noisy imbalanced datasets.Pattern Recognition, 155:110649, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 00d516cc-819e-4e8b-bc30-3f17c3b9a132 · outbound

This paper cites Underwater optical object detection in the era of artificial intelligence: current, challenge, and future.ACM Computing Surveys, 58(3):1–34,.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Underwater optical object detection in the era of artificial intelligence: current, challenge, and future.ACM Computing Surveys, 58(3):1–34,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation d8bdfecb-abfb-4ba2-b484-09a7b83dadc4 · outbound

This paper cites Achieving domain generalization for underwater object detection by domain mixup and contrastive learning.Neurocomputing, 528:20–34,.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Achieving domain generalization for underwater object detection by domain mixup and contrastive learning.Neurocomputing, 528:20–34,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 112f3b07-4b08-4b4b-8c55-3f4663d8e1d6 · outbound

This paper cites Edge-guided representation learning for underwater object detection.CAAI Transactions on Intelli- gence Technology, 9(5):1078–1091, 2024.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Edge-guided representation learning for underwater object detection.CAAI Transactions on Intelli- gence Technology, 9(5):1078–1091, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 6be28057-0801-4715-8c34-4a69b5f2e0ae · outbound

This paper cites Training marine species object detectors with synthetic images and unsupervised domain adaptation.Frontiers in Marine Science, 12:1581778, 2025.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Training marine species object detectors with synthetic images and unsupervised domain adaptation.Frontiers in Marine Science, 12:1581778, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65469bb-0843-4ee7-a450-4209685cc474 · outbound

This paper cites Comparison of image annotation data generated by multiple investigators for benthic ecology.Marine Ecology Progress Series, 552: 61–70, 2016.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Comparison of image annotation data generated by multiple investigators for benthic ecology.Marine Ecology Progress Series, 552: 61–70, 2016

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 277aa655-c01f-462c-9d74-79cb7dfb8246 · outbound

This paper cites Advancing underwater vision: a survey of deep learning models for underwater object recognition and tracking.IEEE Access,.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Advancing underwater vision: a survey of deep learning models for underwater object recognition and tracking.IEEE Access,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 2d995724-bf18-4de6-96d3-47a978ce59bd · outbound

This paper cites Rethinking general underwater object detection: Datasets, challenges, and solutions.Neurocomputing, 517:243–256, 2023.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Rethinking general underwater object detection: Datasets, challenges, and solutions.Neurocomputing, 517:243–256, 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 15d8230e-6547-45cb-95a5-e3222fb3c235 · outbound

This paper cites See you somewhere in the ocean: few-shot domain adaptive underwa- ter object detection.Frontiers in Marine Science, 10:1151112,.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality See you somewhere in the ocean: few-shot domain adaptive underwa- ter object detection.Frontiers in Marine Science, 10:1151112,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 8a82f92a-8df0-457c-92f6-96ce97215055 · outbound

This paper cites Under- water species detection using channel sharpening attention.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Under- water species detection using channel sharpening attention

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 395fc144-29d9-40c0-ba4d-d2f200227d6e · outbound

This paper cites Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 383cb299-c875-43f8-9a69-2540bcbbd859 · outbound

This paper cites Flaws of ImageNet, Computer Vision's Favourite Dataset.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Flaws of ImageNet, Computer Vision's Favourite Dataset

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 9bded5ee-9fa2-490c-9ef2-083a52a9a5ab · outbound

This paper cites Estimating label quality and errors in semantic segmentation data via any model.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Estimating label quality and errors in semantic segmentation data via any model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation dd4fff99-f4a6-4ac8-b2a2-8ea8c563c2a9 · outbound

This paper cites A dataset and bench- mark of underwater object detection for robot picking.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality A dataset and bench- mark of underwater object detection for robot picking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 34e15bdc-8871-4b6a-8c7a-b45ed480ab18 · outbound

This paper cites Towards domain generalization in underwater object detection.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Towards domain generalization in underwater object detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 1401c1d7-6c34-4845-a732-b93215f204e9 · outbound

This paper cites an unresolved cited work.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation cdee9df4-877b-48a7-8664-ab127d141ada · outbound

This paper cites Physics-coupled fre- quency dynamic adaptation network for domain generalized underwater object detection.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Physics-coupled fre- quency dynamic adaptation network for domain generalized underwater object detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 94365b46-ad06-4de2-882e-a0c4ef573ae3 · outbound

This paper cites A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 0374e0a8-7335-47de-bc9c-ed127715d256 · outbound

This paper cites Domain generalization for sea cucumber detection: Tackling back- ground color variability in aquaculture settings.Aquaculture International, 33(5), 2025.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Domain generalization for sea cucumber detection: Tackling back- ground color variability in aquaculture settings.Aquaculture International, 33(5), 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 58783153-bd93-48c1-88fc-473eac36aa28 · outbound

This paper cites Human-visual- system-inspired underwater image quality measures.IEEE Journal of Oceanic Engineering, 41(3):541–551, 2015.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Human-visual- system-inspired underwater image quality measures.IEEE Journal of Oceanic Engineering, 41(3):541–551, 2015

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation be0e10ea-1bd1-4ecb-8d9f-fac2cbb509de · outbound

This paper cites Detection of marine animals in a new underwater dataset with varying visibility.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Detection of marine animals in a new underwater dataset with varying visibility

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 615d4e16-4c2c-4db7-aa59-67a9b223de92 · outbound

This paper cites Revisiting oxford and paris: Large-scale image retrieval benchmarking.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Revisiting oxford and paris: Large-scale image retrieval benchmarking

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation d705f48d-5bb3-46c2-ae23-7d38bb3a34c9 · outbound

This paper cites AI-driven marine robotics: emerging trends in underwater perception and ecosystem monitoring.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality AI-driven marine robotics: emerging trends in underwater perception and ecosystem monitoring

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation e6ae7293-df80-4e90-9c52-c733aabda720 · outbound

This paper cites Urchin- bot: An open-source model for the rapid detection and clas- sification of habitat-modifying sea urchin species.Marine Environmental Research, page 107662, 2025.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Urchin- bot: An open-source model for the rapid detection and clas- sification of habitat-modifying sea urchin species.Marine Environmental Research, page 107662, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 2550266b-54e7-4017-8f0a-be5d1d919b76 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f018e8f-b9b2-4be1-8ed3-289a01862783 · outbound

This paper cites Underwater complex environment domain adaptation for few- shot object detection based on transfer learning.Neurocom- puting, 666:132341, 2026.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Underwater complex environment domain adaptation for few- shot object detection based on transfer learning.Neurocom- puting, 666:132341, 2026

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9480d200-8cf1-4121-8789-f597401c15b6 · outbound

This paper cites Real-time and resource-efficient multi-scale adaptive robotics vision for underwater object detection and domain generalization.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Real-time and resource-efficient multi-scale adaptive robotics vision for underwater object detection and domain generalization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f52a32-6e5a-4cc7-be03-526e7e30e2a6 · outbound

This paper cites Recomia-recommendations for marine image annotation: Lessons learned and future directions.Frontiers in Marine Science, 3:59, 2016.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Recomia-recommendations for marine image annotation: Lessons learned and future directions.Frontiers in Marine Science, 3:59, 2016

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 6b7415d1-9dce-443e-9a04-febd3d681d1f · outbound

This paper cites EFCWM-Mamba-YOLO: Real-time underwater object detection with adaptive feature representation and domain adaptation.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality EFCWM-Mamba-YOLO: Real-time underwater object detection with adaptive feature representation and domain adaptation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 171a1fc8-7586-493e-b429-b2d500085449 · outbound

This paper cites Walker, Zheng Zeng, Chengchen L.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Walker, Zheng Zeng, Chengchen L

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation c40c660e-5920-4c20-8733-a4f285faaf53 · outbound

This paper cites An imaging-inspired no- reference underwater color image quality assessment metric.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality An imaging-inspired no- reference underwater color image quality assessment metric

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cf47bb1-ecb3-4155-9f19-58632ed1deeb · outbound

This paper cites Learning with noisy labels revisited: A study using real-world human annotations.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Learning with noisy labels revisited: A study using real-world human annotations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation e98d6f76-67f4-4b4f-afe2-21636a471145 · outbound

This paper cites an unresolved cited work.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Unavailable: canonical work link unavailable.

Observation 01d8ce87-e5ec-48d9-85f5-b35c1fcb329e · outbound

This paper cites Are all marine species created equal? performance disparities in underwater object detection.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Are all marine species created equal? performance disparities in underwater object detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 211726dd-2b4b-43c7-8190-11c30f9aeb29 · outbound

This paper cites an unresolved cited work.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation d0c4bc61-e7da-4b22-bf5d-3ea487fca23b · outbound

This paper cites An underwater color im- age quality evaluation metric.IEEE Transactions on Image Processing, 24(12):6062–6071, 2015.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality An underwater color im- age quality evaluation metric.IEEE Transactions on Image Processing, 24(12):6062–6071, 2015

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

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Observation 71082c35-e7c7-4ec1-ad6e-997464f35800 · outbound

This paper cites A reference-free underwater image quality assessment metric in frequency domain.Signal Processing: Image Communication, 94:116218, 2021.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality A reference-free underwater image quality assessment metric in frequency domain.Signal Processing: Image Communication, 94:116218, 2021

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Observation 1c2791f2-8c68-4b5e-80e1-0170820e24a7 · outbound

This paper cites DETRs beat YOLOs on real-time object detection.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality DETRs beat YOLOs on real-time object detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T10:43:35.408579Z

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Pith citing papers

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