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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.721763Z digest=sha256:d4349970d894a2d68a40e2a184a2401f8198bc7539fdcebec3f7a5f691701638

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=sha256:7e9118a8b57e860b0a2d9d3c8969ada09a074004950d1e699d74c1eb8ac52b6f

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 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.730301Z digest=sha256:9a82ac376c7b51f5e8dc505d3aa624374718c20353af3475cc156c0a58d2cbe5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.732942Z digest=sha256:bb9c09a01f32e296f834f6e6236216b826b02bc9f8f982ae9efda1ccaa1a9f03

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-17T06:30:58.91139+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.744600Z digest=sha256:b680cc5255a6605d1f9a0214e4815879c718e27c0711d54af29e5b44e8629815

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.747570Z digest=sha256:2b796512ab77c108ae7f863faee7bb789b7373992ae60e3405ad984f996e783e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.750862Z digest=sha256:5d7b1548bf5bf2fd035941292a30686d21e971c4861e0f1d1d490627f8900274

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

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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

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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=sha256:219b64def58842ec1757858a691bb35de918c8477eb69d11e2aebc461f48ae14

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.764515Z digest=sha256:f000d387a30f08fd535e1fc03db2a5dc61c8ec341a34b2c7c1b7b7a3bd79136e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.766918Z digest=sha256:fb651097c06980063d44b774f4a54a80501e4b444d563d8ad86f4bd3d2792b00

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=sha256:1b9c451c3c8d3e985195412702b8f7811db0a3d66004dcdaf3230fb900b1715a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.772114Z digest=sha256:bb071448ec24dc6d4b288cfe824dc84a1ee67222b523defc26cbf07d1f193a40

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:fb91068381bc9bcbee01d6758768857e157a4fc7d81ed4169102e18d8272985e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.777290Z digest=sha256:841ff36b72c7ede111242a91cfa16bdfd3de26922ddda8a307a59def473b50ed

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T10:59:57.779759Z digest=sha256:8e935d9242c71491df07996d9c9cf78b87322f5d454edd828b1cfe58bffdab93

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=sha256:90ebf0ee86fddb927f88d60156fdda272932cd3906a40fd0fce433da29dac54d

Pith citing papers

No inbound Pith citation observations are available.