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Paper Citation Record · LEDGER

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.05471.

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

pith.paper-citation-record.v1
2608.05471 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:32:10.215469Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

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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

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation ece92faa-2517-4cfa-b1a5-a1769e6542a6 · outbound

This paper cites npj Digital Medicine8(1), 777 (Nov 2025).https://doi.org/10.1038/s41746-025-02162-4,https://doi.org/ 10.1038/s41746-025-02162-4.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets npj Digital Medicine8(1), 777 (Nov 2025).https://doi.org/10.1038/s41746-025-02162-4,https://doi.org/ 10.1038/s41746-025-02162-4

Reference 1

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Observation a8f8556b-cc81-471d-b1b2-65dc3abb5a6f · outbound

This paper cites In: Ni, D., Noble, A., Huang, R., Xue, W.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: Ni, D., Noble, A., Huang, R., Xue, W

Reference 2

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Observation b6b59ce7-97e5-4e5b-a612-3ce478948bbb · outbound

This paper cites Scientific Reports10(1), 10200 (2020).

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Scientific Reports10(1), 10200 (2020)

Reference 3

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Observation 8280495a-ecd3-4c36-89d7-d85719a3f392 · outbound

This paper cites Mendeley Data1, 1 (2023).

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Mendeley Data1, 1 (2023)

Reference 4

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Observation 1e189431-308f-44fa-8d77-a72ce072e4b3 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: 2009 IEEE conference on computer vision and pattern recognition

Reference 5

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Observation 5d46e5a4-7410-4304-a75e-ae0d77047dbf · outbound

This paper cites In: Medical Imaging 2025: Ultrasonic Imaging and Tomography.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: Medical Imaging 2025: Ultrasonic Imaging and Tomography

Reference 6

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Observation 06de8459-4d35-4d8b-be21-4ab3a8172105 · outbound

This paper cites Advances in Neural Infor- mation Processing Systems27(2014),https://proceedings.neurips.cc/paper/ 2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Advances in Neural Infor- mation Processing Systems27(2014),https://proceedings.neurips.cc/paper/ 2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf

Reference 7

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A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Unresolved cited work

Reference 8

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This paper cites Advances in neural information processing systems30(2017) EDM2-Based Fetal Ultrasound Generation 5.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Advances in neural information processing systems30(2017) EDM2-Based Fetal Ultrasound Generation 5

Reference 9

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Observation f7e87a62-4d16-41dc-ac63-0ab2047cb4dd · outbound

This paper cites (eds.) Advances in Neural Infor- mation Processing Systems.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets (eds.) Advances in Neural Infor- mation Processing Systems

Reference 10

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Observation 4822b932-9cc5-4600-9c68-5f52e6aa7a18 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 11

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This paper cites Computers in Biology and Medicine189, 109834 (2025).https://doi.org/https: //doi.org/10.1016/j.compbiomed.2025.109834,https://www.sciencedirect.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Computers in Biology and Medicine189, 109834 (2025).https://doi.org/https: //doi.org/10.1016/j.compbiomed.2025.109834,https://www.sciencedirect

Reference 12

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Observation 2a6e5f5b-f0e4-40c0-9024-1e2bd5b4df9d · outbound

This paper cites Towards Realistic Ultrasound Fetal Brain Imaging Synthesis.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Towards Realistic Ultrasound Fetal Brain Imaging Synthesis

Reference 13

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Observation 9fe95ebd-0a25-4968-b451-eeb7a1f11ee1 · outbound

This paper cites Advances in Neural Information Processing Systems37, 52996–53021 (2024).

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Advances in Neural Information Processing Systems37, 52996–53021 (2024)

Reference 14

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 15

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A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Auto-Encoding Variational Bayes

Reference 16

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Observation c63806da-a047-4aca-bc89-d012ecb1b928 · outbound

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A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Unresolved cited work

Reference 17

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This paper cites Flow Matching for Generative Modeling.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Flow Matching for Generative Modeling

Reference 18

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Observation c77bd832-1463-4117-aafe-3e5d124ee839 · outbound

This paper cites IEEE Access11, 58308–58317 (2023).

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets IEEE Access11, 58308–58317 (2023)

Reference 19

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

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Observation 05de207b-726d-426d-a84b-5acbc7858d59 · outbound

This paper cites Scientific reports13(1), 2728 (2023).

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Scientific reports13(1), 2728 (2023)

Reference 21

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Observation c637c2e4-851b-415a-80ee-74a84947364d · outbound

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A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets IET Image Processing19(1), e70151 (2025)

Reference 22

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This paper cites Journal of Clinical Medicine 13(18) (2024).https://doi.org/10.3390/jcm13185626,https://www.mdpi.com/ 2077-0383/13/18/5626.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets Journal of Clinical Medicine 13(18) (2024).https://doi.org/10.3390/jcm13185626,https://www.mdpi.com/ 2077-0383/13/18/5626

Reference 23

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This paper cites In: International Workshop on PRedictive Intelligence In MEdicine.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: International Workshop on PRedictive Intelligence In MEdicine

Reference 24

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Observation 2b3fc1e6-ab12-4c86-ab0a-7af22e8bacfa · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets MedMamba: Vision Mamba for Medical Image Classification

Reference 25

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Observation 92d48066-665d-40a4-80c3-7b6449a9a0c6 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 26

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Pith citing papers

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