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Paper Citation Record · LEDGER

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.10579.

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

pith.paper-citation-record.v1
2505.10579 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:41:33.713773Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:21:48.661331Z

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 exact9
  • verified fuzzy12
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9faff6b-9923-4af9-bd25-0c9868a5e31c · outbound

This paper cites Data 6(11), 111 (2021).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Data 6(11), 111 (2021)

Reference 1

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Observation 5c7949e5-91a5-4325-8fab-60dbede44f60 · outbound

This paper cites https://doi.org/10.17632/fvjhtskg93.1.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography https://doi.org/10.17632/fvjhtskg93.1

Reference 2

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This paper cites ArXiv (2021), https://crfm.stanford.edu/assets/report.pdf.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography ArXiv (2021), https://crfm.stanford.edu/assets/report.pdf

Reference 3

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Observation a6086efd-5f76-4cc6-aebf-b890e3556d08 · outbound

This paper cites CA: a cancer journal for clinicians74(3), 229–263 (2024).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography CA: a cancer journal for clinicians74(3), 229–263 (2024)

Reference 4

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Source-reported events for the cited work

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Observation 03d537a5-7e39-47fe-8464-1f73d054ba66 · outbound

This paper cites Scientific Data 10(1), 123 (2023).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Scientific Data 10(1), 123 (2023)

Reference 5

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 629e5ee4-18fb-4192-94e0-6b2e96fadaab · outbound

This paper cites American Journal of Roentgenology188(4), 1147–1150 (2007).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography American Journal of Roentgenology188(4), 1147–1150 (2007)

Reference 6

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation acf15572-c023-4db5-97e9-c0207622e4b5 · outbound

This paper cites an unresolved cited work.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Unresolved cited work

Reference 7

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Observation 2647f886-1658-448a-8897-3d1dde28a55c · outbound

This paper cites American Journal of Roentgenology 198(3), W292–W295 (2012).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography American Journal of Roentgenology 198(3), W292–W295 (2012)

Reference 8

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Observation cdb0b9f7-ff4b-4937-b05c-b811d0b05248 · outbound

This paper cites In: European Conference on Computer Vision.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: European Conference on Computer Vision

Reference 9

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Observation 65360387-5432-4001-b938-d5c0273e6f42 · outbound

This paper cites Journal of machine learning research17(59), 1–35 (2016).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Journal of machine learning research17(59), 1–35 (2016)

Reference 10

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Observation d4804dce-3da1-4058-ab3d-5c3a569d3b9a · outbound

This paper cites In: Linguraru, M.G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K., Schnabel, J.A.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: Linguraru, M.G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K., Schnabel, J.A

Reference 11

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 21c17c59-af57-40aa-ae3c-1d3e97dc0448 · outbound

This paper cites In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 787b4e43-03a8-46a6-9566-04e8b5a240c7 · outbound

This paper cites Radiology: Artificial Intelligence5(6), e230060 (2023).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Radiology: Artificial Intelligence5(6), e230060 (2023)

Reference 13

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 084a7d13-6915-4125-99b2-3dbd23e365a5 · outbound

This paper cites The British Journal of Radiology 88(1055), 20150242 (2015).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography The British Journal of Radiology 88(1055), 20150242 (2015)

Reference 14

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e5a207c0-d145-44db-bb03-373d2e6f06f4 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 15

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Source-reported events for the cited work

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Observation 5159f765-38f2-445f-9443-371c9e65813e · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 16

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Observation 90b66537-b4a3-4375-859b-66ce9ba39156 · outbound

This paper cites In: The Thirty-eight Conference on Neu- ral Information Processing Systems Datasets and Benchmarks Track (2024), https://openreview.net/forum?id=CyrKKKN3fs.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: The Thirty-eight Conference on Neu- ral Information Processing Systems Datasets and Benchmarks Track (2024), https://openreview.net/forum?id=CyrKKKN3fs

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a3b92472-98a3-41ab-859f-2f7babb86703 · outbound

This paper cites Scientific Data 9(1), 122 (2022).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Scientific Data 9(1), 122 (2022)

Reference 18

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Observation 4de82b4a-42b9-446b-9f3c-9b037be26645 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=RecZ9nB9Q4.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=RecZ9nB9Q4

Reference 19

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Observation 4bd9c11c-a49d-4552-92a3-0c3fb6ae6627 · outbound

This paper cites Nature577(7788), 89–94 (2020).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Nature577(7788), 89–94 (2020)

Reference 20

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d75c1d6c-ccd1-454a-b663-595de74725c0 · outbound

This paper cites Nature 616(7956), 259–265 (2023).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Nature 616(7956), 259–265 (2023)

Reference 21

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Observation d2909fb9-86ee-488a-a758-dbe7a995339e · outbound

This paper cites Academic Radiology 19(2), 236–248 (2012).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Academic Radiology 19(2), 236–248 (2012)

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c130124-a96e-468b-b536-c758e8a380e3 · outbound

This paper cites Scientific Data 10(1), 277 (2023).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Scientific Data 10(1), 277 (2023)

Reference 23

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This paper cites Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=a68SUt6zFt Bias & Generalizability of FMs for Mammography 11.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=a68SUt6zFt Bias & Generalizability of FMs for Mammography 11

Reference 24

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Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Radiology 314(2), e240597 (2025)

Reference 25

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Observation 3f1aebe3-cfff-4d1c-94c4-082874a884b2 · outbound

This paper cites In: Proceedings of the 38th International Conference on Machine Learning.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: Proceedings of the 38th International Conference on Machine Learning

Reference 26

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Observation 0ae36e4d-2244-49a2-9f15-85b88e3276ca · outbound

This paper cites Nature Communications 13(1), 4581 (2022).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Nature Communications 13(1), 4581 (2022)

Reference 27

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Observation 0b9af92c-88dc-46cb-bdc4-ed07b85a3ff8 · outbound

This paper cites In: International Conference on Learning Representations (2019).

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography In: International Conference on Learning Representations (2019)

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dfaf541d-ed65-446a-87a1-ce8b67d534fe · outbound

This paper cites https://doi.org/https://doi.org/10.7937/K9/TCIA.2016.7O02S9CY.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography https://doi.org/https://doi.org/10.7937/K9/TCIA.2016.7O02S9CY

Reference 29

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Source-reported events for the cited work

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Observation 1ad839b5-1c25-41e7-b3b0-599ce4dc1bd1 · outbound

This paper cites https://doi.org/10.17863/CAM.105113.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography https://doi.org/10.17863/CAM.105113

Reference 30

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Observation 572fd58b-0e89-4b7d-93bc-757cf27e8dba · outbound

This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing.

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography Proceedings of the Conference on Empirical Methods in Natural Language Processing

Reference 31

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Pith citing papers

Observation 29bf5e24-1723-47f7-8753-a5e85ccfa454 · inbound

Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift cites this paper.

Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Reference 9

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