Paper Citation Record · LEDGER

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2506.19694.

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

pith.paper-citation-record.v1
2506.19694 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:57.107455Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:10.495009Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:58:50.808337Z

Reference resolution

33 of 33 outbound references displayed

verified exact2
verified fuzzy14
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3138b552-b3c4-4e0a-ac01-2c7157695dbe · outbound

This paper cites Data in brief28, 104863 (2020).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Data in brief28, 104863 (2020)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.008230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8af0c2fb-969e-4a1e-aba7-c2e375fb5f8f · outbound

This paper cites Nature Communications 16(1), 1624 (2025).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Nature Communications 16(1), 1624 (2025)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.456950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8249cc4-60bb-4cc3-bf03-a3c241120d52 · outbound

This paper cites Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:31:57.231334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2d984d1-2d9d-4be8-8b23-5321f91760ee · outbound

This paper cites Annual Review of Control, Robotics, and Autonomous Systems7.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Annual Review of Control, Robotics, and Autonomous Systems7

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.018622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc6b9852-746c-4685-b094-76b863fdfa26 · outbound

This paper cites In: Euro- pean Conference on Computer Vision.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: Euro- pean Conference on Computer Vision

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.021643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b122709b-1a63-4c94-9cde-63b15b71e56f · outbound

This paper cites Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.024563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce6db65b-3081-4f54-a30d-a92532aa6869 · outbound

This paper cites APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.027850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc8c94d-deef-43e2-8b6c-05dbe9f980ec · outbound

This paper cites International Journal of Computer Vision132(2), 581–595 (2024) 10 Yue Zhou et al.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation International Journal of Computer Vision132(2), 581–595 (2024) 10 Yue Zhou et al

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.432943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3823e20-195a-402d-80ba-3f75cd67f7c1 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.420928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed43136d-d670-41b2-bef0-72d668be917c · outbound

This paper cites In: IROS.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: IROS

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.410074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f66ed3b-88b7-4507-bf65-bec0a7e07627 · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation IEEE Transactions on Medical Imaging (2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.399494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf3b44a6-cc2f-45c5-b547-bd2a1adf82ee · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.389329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2baf47d0-9ac7-4032-8d8c-bd1317ddc087 · outbound

This paper cites In: CVPR.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: CVPR

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.380821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 81caed99-7e46-4190-a3db-a2ab919f63bf · outbound

This paper cites The International Journal of Robotics Research43(7), 981–1002 (2024).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation The International Journal of Robotics Research43(7), 981–1002 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.050200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731f655c-1492-424d-9983-4bdec84ca071 · outbound

This paper cites IEEE Transactions on Automation Science and Engineering (2024).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation IEEE Transactions on Automation Science and Engineering (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.364359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2edc81d-c127-4fe8-978e-e2da7570e39d · outbound

This paper cites Medical image analysis89, 102878 (2023).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Medical image analysis89, 102878 (2023)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.056380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa033c57-039f-4f4b-bb72-eaa7605009b1 · outbound

This paper cites IEEE transac- tions on ultrasonics, ferroelectrics, and frequency control67(7), 1344–1353 (2020).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation IEEE transac- tions on ultrasonics, ferroelectrics, and frequency control67(7), 1344–1353 (2020)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.345224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation efd71e7c-0d29-461d-85af-5757737111ef · outbound

This paper cites Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:31:57.200926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a1de30a-0812-4595-a308-1d5eae9f42e6 · outbound

This paper cites an unresolved cited work.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.065862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920ea386-9e34-4bc7-8b61-598412c693f9 · outbound

This paper cites In: 2016 fourth international confer- ence on 3D vision (3DV).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: 2016 fourth international confer- ence on 3D vision (3DV)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.069028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f8a543f-f406-4942-b9eb-f0f76fe23d42 · outbound

This paper cites In: European Conference on Computer Vision.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: European Conference on Computer Vision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.071974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ded0634-763a-4d68-b33c-1dc5b5f32e4f · outbound

This paper cites In: International conference on machine learning.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: International conference on machine learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.074736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c6f709e-a348-40d4-9aed-6a89fc67a5ed · outbound

This paper cites In: 2023 IEEE 20th inter- national symposium on biomedical imaging (ISBI).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: 2023 IEEE 20th inter- national symposium on biomedical imaging (ISBI)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.306814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1908aeee-d18b-4d2d-8e92-ea3d044a2058 · outbound

This paper cites Scientific Data12(1), 242 (2025).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Scientific Data12(1), 242 (2025)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.296699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90565676-b590-4030-934d-3f9d20b3b990 · outbound

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

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.286257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b83204dd-9e09-422e-b931-9b782bbf2285 · outbound

This paper cites Advances in neural information processing systems35, 29582–29596 (2022).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Advances in neural information processing systems35, 29582–29596 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.274394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b007c1d-1e7c-436f-8e3c-4175c49ea3e7 · outbound

This paper cites Medical Image Analysis p.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Medical Image Analysis p

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.090252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26efc8d5-75c9-49d8-bf2f-008f3af96dd7 · outbound

This paper cites Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.093872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d00c7a6-e313-46e4-9cdf-e75062e815a6 · outbound

This paper cites MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection.

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.096824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4764c58-a524-44c8-a7a5-79d9c2a8d121 · outbound

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

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.099781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b1c326-7f87-4ed3-8cc2-02a55b38b1af · outbound

This paper cites International Journal of Computer Vision130(9), 2337–2348 (2022).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation International Journal of Computer Vision130(9), 2337–2348 (2022)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.102497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8867ae3-27f8-474d-8a1a-bd28a232b4f5 · outbound

This paper cites arXiv preprint arXiv:2310.18961 (2023).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation arXiv preprint arXiv:2310.18961 (2023)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:57.105003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103905cf-414d-4fd5-9bb8-719f2a7a2531 · outbound

This paper cites PloS one14(8), e0221535 (2019).

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation PloS one14(8), e0221535 (2019)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:31:57.242124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 4a5e8c39-e389-40fe-913a-0082fca4f7b5 · inbound

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance cites this paper.

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:10.495009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c59d78c-ee94-4e65-9134-2461efacc40d · inbound

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement cites this paper.

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:58:50.879815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.