Paper Citation Record · LEDGER

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.22568.

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

pith.paper-citation-record.v1
2507.22568 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:38:58.676623Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

31 of 31 outbound references displayed

verified exact1
verified fuzzy16
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c4a0cc7-b763-4079-9924-9f3af7e18a02 · outbound

This paper cites The Breast 62, S3–S6 (2022).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound The Breast 62, S3–S6 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:03.914311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01dfdebd-6f3a-450c-8548-68903884558d · outbound

This paper cites The British journal of radiology91(1083), 20170576 (2018).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound The British journal of radiology91(1083), 20170576 (2018)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:03.794803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 831a8c62-21f0-4509-8def-45b27d8d3ccc · outbound

This paper cites an unresolved cited work.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:39:03.673253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1dda548c-236a-4a8c-a06e-9d41be17fe98 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:03.553939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fd324ec-9d9a-4219-a942-82a092165045 · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:03.380798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10a15182-9a10-4029-bf36-0b9c74dbfbaf · outbound

This paper cites In: Robertson, D., Williams, G.H.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Robertson, D., Williams, G.H

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T11:39:03.155545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 454aa01e-67ca-49f5-88d0-bc899d2939af · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:55.962252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa761a11-dae5-4911-8e4d-63396a5d7a24 · outbound

This paper cites Physics in Medicine & Biology62(19), 7714 (2017).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Physics in Medicine & Biology62(19), 7714 (2017)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:02.959146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 084cdce3-0a52-47c2-b298-babc51ae9ed4 · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Advances in neural information processing systems33, 6840–6851 (2020)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:56.199324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93533e9-f10d-4269-8146-74feac108aed · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:02.748435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4225ca3-2528-4b36-b8f9-47434340ece1 · outbound

This paper cites IEEE Transactions on Pattern Anal- ysis and Machine Intelligence (2024).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound IEEE Transactions on Pattern Anal- ysis and Machine Intelligence (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:02.496973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b526f319-3753-4b92-ac2c-50f90fa71ea8 · outbound

This paper cites Clinical medicine insights: Pathology8, CPath–S31563 (2015).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Clinical medicine insights: Pathology8, CPath–S31563 (2015)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:02.307229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd97f432-1363-4381-8fcd-60845f85cb83 · outbound

This paper cites Long-tail learning via logit adjustment.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Long-tail learning via logit adjustment

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:56.618700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece89825-2758-4293-a00d-438c5ed475dc · outbound

This paper cites Computer methods and programs in biomedicine190, 105361 (2020).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Computer methods and programs in biomedicine190, 105361 (2020)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:02.061303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6b13903-202f-4954-bc56-17d60a74cfff · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the AAAI conference on artificial intelligence

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:01.748199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 844d06aa-585f-4dd8-b2fe-17dd7bb93356 · outbound

This paper cites In: 2024 16th International Conference on Knowledge and Smart Technology (KST).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: 2024 16th International Conference on Knowledge and Smart Technology (KST)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:01.400235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25356f9b-069a-41b8-84d9-db0311051324 · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:57.173828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55789224-52b2-4794-8fcb-58685314bc3b · outbound

This paper cites an unresolved cited work.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:39:01.125062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f40e6ba4-1cbc-4441-9ac7-62d54f87d9c5 · outbound

This paper cites In: International conference on machine learning.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: International conference on machine learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:57.393325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd5b8cf-8305-419a-b756-12f0263a115e · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:00.819963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e37a7b8-21f8-4e7a-b7b8-27f52b3a6db6 · outbound

This paper cites CA: a cancer journal for clinicians 71(3), 209–249 (2021).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound CA: a cancer journal for clinicians 71(3), 209–249 (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:00.528885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81ca9313-a9ae-4732-9109-ec54c1f7e12d · outbound

This paper cites Medical Image Analysis77, 102362 (2022).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Medical Image Analysis77, 102362 (2022)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:57.732371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b10cf22-842c-4191-9a1c-7d8826f1fc8f · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:39:00.307629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 767de2cd-2e73-4336-9732-b59356e875d7 · outbound

This paper cites Machine learning8, 229–256 (1992).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Machine learning8, 229–256 (1992)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:58.001917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e72500-1b44-4126-8a27-dd562d33df37 · outbound

This paper cites Advances in Neural Information Processing Systems36, 54683–54695 (2023).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Advances in Neural Information Processing Systems36, 54683–54695 (2023)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:58.066678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac2076b-4b10-4830-b422-c73cc01a333a · outbound

This paper cites Scientific Data 10(1), 41 (2023) BreastGenAug 11.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Scientific Data 10(1), 41 (2023) BreastGenAug 11

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:38:59.986487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cae9578-c7c6-421d-ab0c-84cfc3e21d4c · outbound

This paper cites an unresolved cited work.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:38:59.656600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13babd59-3866-4c63-aed4-0e9082501d1b · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:58.360917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9c7222-2031-4b5d-98d1-06b14375ef7a · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10795–10816 (2023).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10795–10816 (2023)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:58.479459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88b86887-295c-4677-99ee-be54e9d85d46 · outbound

This paper cites arXiv preprint arXiv:2409.17091 (2024).

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound arXiv preprint arXiv:2409.17091 (2024)

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-06T11:38:59.124001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8382399d-5d6c-4a79-ac6b-47b1116ef840 · outbound

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

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:38:59.355545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.