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Paper Citation Record · LEDGER

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.00474.

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

pith.paper-citation-record.v1
2507.00474 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:29.486801Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

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  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 844bca41-c27f-4d86-88af-0b8a1c503c3f · outbound

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

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Data in brief28, 104863 (2020)

Reference 1

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Observation d22aa210-08bb-4382-93fb-c536a7ed4f91 · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation e47495b0-31e6-4463-889a-7956e0e7c052 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 3

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Observation bed38b07-37b0-4c86-b63e-0d093f2f0d2e · outbound

This paper cites Medical Physics51(4), 3110–3123 (2024).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Medical Physics51(4), 3110–3123 (2024)

Reference 4

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Source-reported events for the cited work

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Observation aeffaca1-6a02-4117-8c6f-2a0bf4eefa5f · outbound

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

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Advances in neural information processing systems33, 21271–21284 (2020)

Reference 5

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Observation 4fb26939-9d89-4d48-a864-d3a6888b9a59 · outbound

This paper cites IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021)

Reference 6

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Observation 1893ebed-f5ce-486d-b829-9204c45770e6 · outbound

This paper cites an unresolved cited work.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

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Observation a7268265-5756-4f64-b8e1-29428ff62ce7 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020) 10 Y.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Advances in neural information processing systems33, 6840–6851 (2020) 10 Y

Reference 8

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Source-reported events for the cited work

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Observation 69031aed-f0ff-4f06-a145-09493fac6706 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 9

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Observation afb2fc44-d21d-46ea-b806-3bab07cf9e31 · outbound

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

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

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Observation 76247ff7-6359-40c7-b05a-3e6277bc9155 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 11

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Observation 736413b0-742a-4e1c-a680-594b82768846 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 52cd1edc-f349-459f-b455-9e18ea1d4c9c · outbound

This paper cites Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions

Reference 13

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Source-reported events for the cited work

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Observation 54a3ff80-7146-409d-bd87-39f6af54c6b8 · outbound

This paper cites Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering

Reference 14

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Source-reported events for the cited work

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Observation b6c957a3-74bb-4db8-8565-39243dae6230 · outbound

This paper cites Advances in neural information pro- cessing systems32(2019).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Advances in neural information pro- cessing systems32(2019)

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 627b116f-4732-47ca-96e5-a226b60e258e · outbound

This paper cites Computers in Biology and Medicine170, 107912 (2024).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Computers in Biology and Medicine170, 107912 (2024)

Reference 16

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Observation 9395c916-dbbd-4776-a4bc-6213fd72c3a4 · outbound

This paper cites Medical Image Analysis p.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Medical Image Analysis p

Reference 17

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Source-reported events for the cited work

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Observation 81e5305d-fb99-4cfc-a14a-ee6aa953e43c · outbound

This paper cites Medical Image Anal- ysis83, 102655 (2023).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Medical Image Anal- ysis83, 102655 (2023)

Reference 18

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Observation 4ed86237-e218-4ef3-b491-824515e2646a · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: Proceedings of the European conference on computer vision (ECCV)

Reference 19

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Source-reported events for the cited work

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Observation f6e33029-5163-468f-b37b-ba88fca82378 · outbound

This paper cites Medical image analysis97, 103261 (2024).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Medical image analysis97, 103261 (2024)

Reference 20

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Observation baff70ef-a76d-4480-8e84-0e4d9d5d41e9 · outbound

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

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

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Observation 79e30aba-f468-4892-b181-877850e0a654 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 22

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Observation 78389af9-d9f8-4272-a71c-3aa4f229c768 · outbound

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

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 23

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Observation 941e7a1d-6f6f-4482-b288-442f8280e4b1 · outbound

This paper cites In: International conference on machine learning.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: International conference on machine learning

Reference 24

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Observation 91c342ed-fb4c-46eb-8a74-a54fe0331c6b · outbound

This paper cites Advances in neural information processing systems33, 19290–19301 (2020).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Advances in neural information processing systems33, 19290–19301 (2020)

Reference 25

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Source-reported events for the cited work

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Observation 6d50eeda-60cc-4b54-ac7f-cdd7f50b6568 · outbound

This paper cites IEEE journal of biomedical and health informatics22(4), 1218– 1226 (2017).

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis IEEE journal of biomedical and health informatics22(4), 1218– 1226 (2017)

Reference 26

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Observation 3f9e8c77-13cc-436b-8daf-65f78bc70ebd · outbound

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ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 27

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

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 28

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ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Unresolved cited work

Reference 29

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ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis IEEE Journal of Biomedical and Health Informatics (2024)

Reference 30

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Pith citing papers

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