Paper Citation Record · LEDGER

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2507.22802.

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

pith.paper-citation-record.v1
2507.22802 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:20:56.880691Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:45:31.064989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.399274Z

Reference resolution

29 of 29 outbound references displayed

verified exact7
verified fuzzy1
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73a2a79b-70de-4ec2-93de-c9a4988cc37f · outbound

This paper cites Scientific Reports 15, 8376 (2025).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Scientific Reports 15, 8376 (2025)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.799929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a86368-ef57-459f-aed8-38e22088ef08 · outbound

This paper cites FUSQA: Fetal Ultrasound Segmentation Quality Assessment.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings FUSQA: Fetal Ultrasound Segmentation Quality Assessment

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:20:57.706031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d8f98b07-7372-40d7-89c9-1c51290a7dfb · outbound

This paper cites In: 2023 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings In: 2023 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)

Reference 3

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-06T11:20:57.694006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7883a118-5064-496d-9c2d-f6f156c50377 · outbound

This paper cites In: 2009 IEEE Confer- ence on Computer Vision and Pattern Recognition.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings In: 2009 IEEE Confer- ence on Computer Vision and Pattern Recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.809415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eddc3748-18ed-4957-9fec-1a376ab4e4e1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.812512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554e61db-86c1-4d97-8400-a2483f8bbeb5 · outbound

This paper cites UNETR: Transformers for 3D Medical Image Segmentation.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings UNETR: Transformers for 3D Medical Image Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.815630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f0bb50-ab11-4d1f-a043-cc5dd749136e · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.819385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d26330f-9637-4b4b-b772-db4e425bf452 · outbound

This paper cites Densely Connected Convolutional Networks.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Densely Connected Convolutional Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.822496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a56936e-8dbc-410e-b5d3-bf3d7c363ddf · outbound

This paper cites In: 2014 IEEE Confer- ence on Computer Vision and Pattern Recognition.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings In: 2014 IEEE Confer- ence on Computer Vision and Pattern Recognition

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T11:20:56.928549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 53ba31b1-d050-440d-8254-4fe23553d8fe · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.828520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5091c9ee-aaed-45d9-9907-df8d5b1336c1 · outbound

This paper cites Decoupled Weight Decay Regularization.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Decoupled Weight Decay Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.831396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8c062d-f04d-4bbb-93a7-d81c2d50e620 · outbound

This paper cites A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.834104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a3ae90-1ffe-471d-afad-7f2457eece46 · outbound

This paper cites an unresolved cited work.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.837214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce6f987-91e6-42b5-991f-b6d761062d0b · outbound

This paper cites 04797 10 D.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings 04797 10 D

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:20:57.714682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b7fdf524-5126-4477-92c4-434c1180cc8b · outbound

This paper cites IEEE Transactions on Image Processing21(12), 4695–4708 (2012).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings IEEE Transactions on Image Processing21(12), 4695–4708 (2012)

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:20:57.492348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 38884272-9226-481c-a142-27b8bedc2560 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Learning Transferable Visual Models From Natural Language Supervision

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.845049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a464e82-4ba6-4ac5-8608-6e4fcb6e454a · outbound

This paper cites IEEE Transactions on Image Process- ing 21(8), 3339–3352 (2012).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings IEEE Transactions on Image Process- ing 21(8), 3339–3352 (2012)

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:20:57.403631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e0bc7149-3390-4b82-89cb-26580da828ab · outbound

This paper cites Medical Image Analysis 105, 103640 (2025).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Medical Image Analysis 105, 103640 (2025)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.850459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7768d9-b49e-45cc-89a2-414948cc4eb3 · outbound

This paper cites JMIR Res Protoc11(9), e37374 (2022).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings JMIR Res Protoc11(9), e37374 (2022)

Reference 19

Resolution: malformed identifier; doi_truncated, observed 2026-08-06T11:20:56.919656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fff895d1-3211-4d3c-ac86-d0a40b61e35d · outbound

This paper cites Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:20:57.261159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fdb7d7b4-d9ec-48d8-9a6c-02d0a2f1dae5 · outbound

This paper cites IEEE Transactions on ImageProcessing 15(2),430–444(2006).https://doi.org/10.1109/TIP.2005.859378.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings IEEE Transactions on ImageProcessing 15(2),430–444(2006).https://doi.org/10.1109/TIP.2005.859378

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.858286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b2186da-24f3-47c1-87c4-d0c4fe6c03a9 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.860839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4a63c7-16fe-4d92-8120-a9bf8f3ed340 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.863799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86fb859c-4ae4-45d2-b208-b245641b9584 · outbound

This paper cites DeiT III: Revenge of the ViT.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings DeiT III: Revenge of the ViT

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.866583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3ad648-a96c-45fb-b973-166b4b5b8a1d · outbound

This paper cites IEEE Transactions on Image Processing 13(4), 600–612 (2004).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings IEEE Transactions on Image Processing 13(4), 600–612 (2004)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.869700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b82691-03a3-4144-9449-c0c838bb5c86 · outbound

This paper cites Cochrane Database of Systematic Reviews (2010).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Cochrane Database of Systematic Reviews (2010)

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T11:20:56.910277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 176b58ee-4ad8-414d-b99e-5678175225f3 · outbound

This paper cites IEEE Transactions on Cy- bernetics 47(5), 1336–1349 (2017).

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings IEEE Transactions on Cy- bernetics 47(5), 1336–1349 (2017)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.874957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f61e8c8-7290-40dd-ae2c-4c7572a420df · outbound

This paper cites MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:20:57.033308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b400163-ce63-4a3a-af70-04651534aa24 · outbound

This paper cites an unresolved cited work.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings Unresolved cited work

Reference 29

Resolution: verified exact; raw_fallback, observed 2026-08-06T11:20:57.015478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 34f7fa95-6774-480f-a94f-4e9ba92ce04f · inbound

FetSelect: Task-Specific Architectures and Self-Supervised Learning for Automated Fetal Ultrasound Frame Selection cites this paper.

FetSelect: Task-Specific Architectures and Self-Supervised Learning for Automated Fetal Ultrasound Frame Selection Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:42.400839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.