Paper Citation Record · LEDGER

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging

As of 6 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.00900.

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

pith.paper-citation-record.v1
2509.00900 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:10:39.872833Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

18 of 18 outbound references displayed

verified exact2
verified fuzzy9
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6b2d8d2-3359-45dc-b666-2694409b7522 · outbound

This paper cites J Natl Compr Canc Netw (2015).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging J Natl Compr Canc Netw (2015)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.735928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9fbf32e5-1cba-400d-8f7d-ec5ebea69acb · outbound

This paper cites RSNA (2023).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging RSNA (2023)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:10:39.705401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313ea468-4611-4724-936b-a76f3c6434cf · outbound

This paper cites Computer Vision and Pattern Recognition (2021).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Computer Vision and Pattern Recognition (2021)

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-05T13:10:39.714763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3a5d912-6148-4a7e-bfb8-e91518b992fc · outbound

This paper cites Pattern Recognition (2022).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Pattern Recognition (2022)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.701897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5868249-4a89-4539-b34f-9e30b8656f01 · outbound

This paper cites Science Translational Medicine (2022).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Science Translational Medicine (2022)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.665500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eeb72c25-1359-4d45-935e-c66b216d1cf2 · outbound

This paper cites In: Proceedings of the 35th International Conference on Machine Learning.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging In: Proceedings of the 35th International Conference on Machine Learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.642812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1286931e-a446-42ca-a8c1-a4b2e5653784 · outbound

This paper cites MICCAI (2024).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging MICCAI (2024)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.612718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04c2966b-ca84-4f77-b0b5-0e66fc80436e · outbound

This paper cites MICCAI (2023).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging MICCAI (2023)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.586605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 596ca0b1-02b3-4d5b-9229-ad634c914fa1 · outbound

This paper cites JAMA Oncology (2016).https://doi.org/10.1001/jamaoncol.2015.5536.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging JAMA Oncology (2016).https://doi.org/10.1001/jamaoncol.2015.5536

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:10:39.779866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d9a21b0-7724-4714-a00b-c351ea5b257c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging DINOv2: Learning Robust Visual Features without Supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:10:39.793384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0584909-f5d3-454a-9eb6-73f498479884 · outbound

This paper cites an unresolved cited work.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:10:40.547376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70bf965f-6a83-4496-a78c-7e927e7ebb3e · outbound

This paper cites Reference article, Radiopaedia.org.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Reference article, Radiopaedia.org

Reference 12

Resolution: verified exact; doi, observed 2026-08-05T13:10:39.991648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a5b60cd-693c-48d0-b32b-b5dc89356d61 · outbound

This paper cites Statistics in Medicine (2004).https://doi.org/ 10.1002/sim.1668.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Statistics in Medicine (2004).https://doi.org/ 10.1002/sim.1668

Reference 13

Resolution: verified exact; doi, observed 2026-08-05T13:10:39.965278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cdfd81f9-b2de-4fa2-a6b4-a30927695d0f · outbound

This paper cites MICCAI (2024).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging MICCAI (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.509906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7fa468cf-d48f-4884-9b74-f92afd2d184d · outbound

This paper cites medRxiv (2023).

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging medRxiv (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.473330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93cbf6ca-d026-4375-a982-f89355678bc4 · outbound

This paper cites Science Translational Medicine (2021).https://doi.org/ 10.1126/scitranslmed.aba4373.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Science Translational Medicine (2021).https://doi.org/ 10.1126/scitranslmed.aba4373

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:10:39.852838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22452f6-ed97-40f1-bd46-5815090cde55 · outbound

This paper cites an unresolved cited work.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:10:40.450790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6fded78-7e1b-42e7-923d-6bf3d664c473 · outbound

This paper cites https://radiologyassistant.nl/breast/bi-rads/ bi-rads-for-mammography-and-ultrasound-2013 , accessed: 2025-06-24.

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging https://radiologyassistant.nl/breast/bi-rads/ bi-rads-for-mammography-and-ultrasound-2013 , accessed: 2025-06-24

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:10:40.427758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.