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Paper Citation Record · LEDGER

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2

As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.23272.

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

pith.paper-citation-record.v1
2507.23272 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:59:57.783157Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2df79284-5205-44bc-a373-4a1c426ae699 · outbound

This paper cites BMC medical education23(1), 689 (2023).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 BMC medical education23(1), 689 (2023)

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.978654Z

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.

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Observation 621ff6a8-54f6-4a82-bcd1-2434fb3a298d · outbound

This paper cites Foundational Models Defining a New Era in Vision: A Survey and Outlook.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Foundational Models Defining a New Era in Vision: A Survey and Outlook

Reference 2

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unresolved
no resolver link, observed 2026-08-06T10:59:57.715408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.715408Z digest=sha256:c7203955e0dec9d9fa6a2a9a06a2d98f42ce1c40e55eb3f1eef9beb27a03f6c8

Observation f25ec6bb-39b3-4b34-aafc-029610bd8147 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:57.718236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.718236Z digest=sha256:b0f4bc1af536365ae1a94fe327c02b7cec58b190a251f5f44e03c985d0193a5f

Observation 3ca78561-a9ac-4404-b24a-fd15ffe83b45 · outbound

This paper cites In: European Conference on Computer Vision.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 In: European Conference on Computer Vision

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.971390Z

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.

source=pdf_text observed=2026-08-06T10:59:57.721763Z digest=sha256:6a6ef59f46c85262a2fdd900fbe00280f2edf8eca422790dd569ed02b2db6c73

Observation e0b231f2-a008-46c8-9757-a624fcfeecf6 · outbound

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

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 5

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no resolver link, observed 2026-08-06T10:59:57.724648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.724648Z digest=sha256:277237fe378b253c63e57636d0ff0b82c456ebd9acb87f12fc595629d00e38d1

Observation 2cb55082-7f7b-4dee-996b-81b51dfb4024 · outbound

This paper cites British journal of cancer 126(4), 533–550 (2022).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 British journal of cancer 126(4), 533–550 (2022)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.959999Z

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.

source=pdf_text observed=2026-08-06T10:59:57.727455Z digest=sha256:b26d816b02b9f292c59bd3a084a9d831a8ad982a101fd1598fa494a457715c88

Observation a55176b2-98fb-4b23-b91e-b36ed88c8042 · outbound

This paper cites Public Health Nursing 42(2), 1017–1030 (2025).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Public Health Nursing 42(2), 1017–1030 (2025)

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.950843Z

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.

source=pdf_text observed=2026-08-06T10:59:57.730301Z digest=sha256:b1826a4733848b10059b522b456c165c001fea48ca3be2b2dec85604484a6d30

Observation 19d6b623-c419-41b1-9c3f-959f463d6ee9 · outbound

This paper cites Scientific data 12(1), 453 (2025) 10 Kang et al.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Scientific data 12(1), 453 (2025) 10 Kang et al

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.942570Z

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.

source=pdf_text observed=2026-08-06T10:59:57.732942Z digest=sha256:603228ee7bc22196fd29ca670f2ce09af34d89ddd6ac649e0138341a744696e6

Observation 76cf4e73-a467-45b5-b44e-6c4a57b20a1e · outbound

This paper cites AI Open2, 225–250 (2021).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 AI Open2, 225–250 (2021)

Reference 9

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unresolved
no resolver link, observed 2026-08-06T10:59:57.735854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.735854Z digest=sha256:4a58263d29813675ea6c1227ba65a4926a2408d924ad774c2be0186b5178485d

Observation 66c3ece8-f2d0-45b6-bedb-e79d3c6e6879 · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) pp.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) pp

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.931162Z

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.

source=pdf_text observed=2026-08-06T10:59:57.739124Z digest=sha256:161e7aa64652b528d5fd60cca5db205a73f72bf714935cc957666a724499dcb4

Observation d167f5d8-6005-4042-acbf-e3eafb88b5f3 · outbound

This paper cites Nature Methods 18(2), 203–211 (2021).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Nature Methods 18(2), 203–211 (2021)

Reference 11

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raw_fallback, observed 2026-08-06T10:59:57.922820Z

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.

source=pdf_text observed=2026-08-06T10:59:57.741506Z digest=sha256:89170f1faa0d9038d949861998c1862e0379c8b56324ec1bef22dc51983f4d7b

Observation 48613ccc-619a-45f5-9e2e-9a99d2aee3f6 · outbound

This paper cites In: Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Chal- lenges in Breast Care.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 In: Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Chal- lenges in Breast Care

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.915513Z

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.

source=pdf_text observed=2026-08-06T10:59:57.744600Z digest=sha256:02850f5bee7c8c0b6eb7e8112321a0ee2942dc128b8d04350a094fa306a49f1c

Observation 4409f2ed-1914-44a5-842a-05565c4bacb9 · outbound

This paper cites BMC medicine17, 1–9 (2019).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 BMC medicine17, 1–9 (2019)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.907543Z

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.

source=pdf_text observed=2026-08-06T10:59:57.747570Z digest=sha256:7b33849769b3cefb0d7e703011c84a253ca25ae16d869b6c0ed248069c979eb3

Observation 71c38e52-eaa6-472d-af81-4b82a168c4eb · outbound

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

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.900311Z

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.

source=pdf_text observed=2026-08-06T10:59:57.750862Z digest=sha256:f1b11b119013a9b024012e00d6065f7ba59e610350091b7812f74b0bf5a76513

Observation e7f34bbe-d332-4299-98c8-c3118f157eba · outbound

This paper cites The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images

Reference 15

Resolution
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no resolver link, observed 2026-08-06T10:59:57.753278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 356ae107-3cd4-4c71-96cc-c3370a2e3041 · outbound

This paper cites Cancers13(17), 4287 (2021).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Cancers13(17), 4287 (2021)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.892299Z

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.

source=pdf_text observed=2026-08-06T10:59:57.755968Z digest=sha256:4b84043e37dc48447d821259d970c2761cb83a4029e7f9c9dd9c5354d4fd94bc

Observation 94dd62c6-cca6-40ab-b6c9-872a7ca4b214 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:57.759357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.759357Z digest=sha256:de56d308f8c460e84e76792d620fda1f11565f0b6fcbe175c32e282874b1fe69

Observation 99c1d33e-a2b3-4f31-96f7-d1ceff086967 · outbound

This paper cites an unresolved cited work.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-06T10:59:57.884365Z

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.

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Observation 7b8e32e1-6210-4ac3-bfa2-3ef0f1667e2c · outbound

This paper cites European journal of breast health15(1), 1 (2019).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 European journal of breast health15(1), 1 (2019)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.877145Z

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.

source=pdf_text observed=2026-08-06T10:59:57.764515Z digest=sha256:0e76416b8c1ca17c2b13a0b96c0c8ae23277f444c5fd5755da7949dbf76fb8a4

Observation 3ec598f4-4783-4c36-877d-ce00a657a435 · outbound

This paper cites inconvenient truth.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 inconvenient truth

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.868737Z

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.

source=pdf_text observed=2026-08-06T10:59:57.766918Z digest=sha256:9b10c70f4e8afd27b8909b2b127f4c52da9363117e32091df4a96a249928437c

Observation 02b5b192-ee03-485d-9bf8-4c63d239d1b2 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 SAM 2: Segment Anything in Images and Videos

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:57.769328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.769328Z digest=sha256:0b84dd7640e96de134c2b4266422aaa67d53cdddf40568d70bacaadc38d24946

Observation 55ed7a07-f611-4783-b0bc-169b9f66745c · outbound

This paper cites British journal of cancer 119(4), 508–516 (2018).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 British journal of cancer 119(4), 508–516 (2018)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.860304Z

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.

source=pdf_text observed=2026-08-06T10:59:57.772114Z digest=sha256:0a735335397dc9b97891671be54c0845d58f50b67aec8eeefa1c691a8c3f8db5

Observation 11a8c54f-5d76-47c6-b684-22e9d0db432d · outbound

This paper cites CA: a cancer journal for clinicians74(1), 12–49 (2024).

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 CA: a cancer journal for clinicians74(1), 12–49 (2024)

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:57.774511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.774511Z digest=sha256:fdac53322f1638ec2872d3b72d032a686588e915d8fc132e2947a59fb1738f42

Observation e13f9ca8-79fd-425b-9a1c-027c7df3095e · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics (2024) Affordable Tumor Segmentation and Visualization for 3D Breast MRI 11.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 IEEE Journal of Biomedical and Health Informatics (2024) Affordable Tumor Segmentation and Visualization for 3D Breast MRI 11

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.849548Z

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.

source=pdf_text observed=2026-08-06T10:59:57.777290Z digest=sha256:694f0e1c7b317c24d27915e90c7d09a24a8d5ca6dc4a16167dd817d955bea9f2

Observation d44a0d76-284d-4a33-a66e-87db8fbb44ec · outbound

This paper cites International Journal of Machine Learning and Cybernetics pp.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 International Journal of Machine Learning and Cybernetics pp

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:59:57.841227Z

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.

source=pdf_text observed=2026-08-06T10:59:57.779759Z digest=sha256:7a014381a8fcd12ad156f7ff83d9928269508ac21f78395eb3cec6e43eeecf76

Observation a225cade-e78e-4ce3-a962-765534c497ac · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:57.783157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:57.783157Z digest=sha256:c411eea05ac6b5b4ea941bdffe7a0ee2a4399dea231c7f72a93f3a6fbf4fc02c

Pith citing papers

No inbound Pith citation observations are available.