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Paper Citation Record · LEDGER

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.19552.

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

pith.paper-citation-record.v1
2506.19552 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:30.175878Z

measured 28 of 28 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 2026-08-05T11:31:41.902503Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:31:42.139522Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ba7aa4b-2e48-4d81-9310-d843a27c46eb · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound On the Opportunities and Risks of Foundation Models

Reference 1

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Unavailable: canonical work link unavailable.

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Observation d8e8b37f-da31-4e6a-a8b0-4d20c5480a34 · outbound

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

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Scientific Reports10(1), 10200 (2020)

Reference 2

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verified fuzzy
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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.

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Observation c31d40e4-5509-4925-8832-ed92aacd8b31 · outbound

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

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 3

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Observation 449a7e35-d81e-444e-be11-81d8cec0898e · outbound

This paper cites an unresolved cited work.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Unresolved cited work

Reference 4

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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.

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Observation c80b16a6-e4a7-46c0-8120-6d017496c163 · outbound

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

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57714511-f882-4228-8ee8-5a8b7a698729 · outbound

This paper cites Advances in neural information processing systems33, 21271–21284 (2020).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Advances in neural information processing systems33, 21271–21284 (2020)

Reference 6

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Unavailable: canonical work link unavailable.

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Observation d7064f99-4de5-43f9-88af-7d96e461a22d · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion

Reference 7

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Source-reported events for the cited work

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Observation ac34fdbb-deaf-49ca-9d9d-31f069ec70cf · outbound

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

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b00b6010-434e-4d17-86a4-1ac364804873 · outbound

This paper cites an unresolved cited work.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a3c9b2b2-2552-481d-beb0-68529e8a6db0 · outbound

This paper cites Neural networks121, 74–87 (2020).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Neural networks121, 74–87 (2020)

Reference 10

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verified fuzzy
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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.

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Observation 912767d0-7809-4b90-b0f4-db8ff4344223 · outbound

This paper cites Nature methods18(2), 203–211 (2021).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Nature methods18(2), 203–211 (2021)

Reference 11

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Observation 7116cd4a-bf8d-4e06-986a-7b506b4f5ae6 · outbound

This paper cites arXiv preprint arXiv:2411.16380 (2024).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound arXiv preprint arXiv:2411.16380 (2024)

Reference 12

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verified exact
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Source-reported events for the cited work

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

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Observation e97d2050-0aee-431d-a838-089333630850 · outbound

This paper cites Medical Image Analysis 96, 103202 (2024).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Medical Image Analysis 96, 103202 (2024)

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3a598ab1-6166-4a05-a53a-e415d4b110d0 · outbound

This paper cites In: International Workshop on Applications of Medical AI.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: International Workshop on Applications of Medical AI

Reference 14

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verified fuzzy
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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.

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Observation 341b33ac-32f2-4940-95c2-9af4da75afce · outbound

This paper cites an unresolved cited work.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Unresolved cited work

Reference 15

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unresolved
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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.

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Observation 9f6aacd1-34f4-41a8-a3d9-aa13c6452037 · outbound

This paper cites Nature Biomedical Engineering6(12), 1346–1352 (2022).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Nature Biomedical Engineering6(12), 1346–1352 (2022)

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8d166dee-acb6-4346-84ee-5283ee62306d · outbound

This paper cites Data in brief41, 107904 (2022).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Data in brief41, 107904 (2022)

Reference 17

Resolution
verified fuzzy
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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.

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Observation 7892ea73-405f-41dd-9365-8ee9dc3eb647 · outbound

This paper cites Na- ture616(7956), 259–265 (2023).

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Na- ture616(7956), 259–265 (2023)

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0169dd58-3e9b-4a4a-81fc-fb247aa65607 · outbound

This paper cites an unresolved cited work.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Unresolved cited work

Reference 19

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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.

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Observation 6f17fe8d-5ef2-4f72-b12c-34aa6bc08d8f · outbound

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

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0c9d883c-f4f2-4796-a374-d17a59053e12 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 21

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verified fuzzy
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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.

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Observation 18114193-9443-4327-91a1-2a296246be2b · outbound

This paper cites General Purpose Image Encoder DINOv2 for Medical Image Registration.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound General Purpose Image Encoder DINOv2 for Medical Image Registration

Reference 22

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Unavailable: canonical work link unavailable.

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Observation d4472b95-db8f-453e-a79f-c3db81ca88be · outbound

This paper cites Revisiting MAE pre-training for 3D medical image segmentation.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Revisiting MAE pre-training for 3D medical image segmentation

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a9a3424b-75ae-40e9-bc98-e2cd369d4082 · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 24

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Observation 2465b500-e50f-47fe-8f12-ab1e44802d30 · outbound

This paper cites In: European Conference on Computer Vision.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound In: European Conference on Computer Vision

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T23:11:30.389915Z

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.

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Observation 2ec1a767-0307-4893-b72e-95ab251251af · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 782cb8f4-4720-48ec-bd08-a99227d9159e · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 574e8864-09e0-4601-af17-a129ab4990db · inbound

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining cites this paper.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Reference 2

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verified exact
local_arxiv, observed 2026-08-05T11:31:42.143247Z

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.

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