Paper Citation Record · LEDGER

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.02710.

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

pith.paper-citation-record.v1
2509.02710 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:31:48.299877Z

measured 18 of 18 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 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 exact0
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aaab10cd-2477-40cb-a2f7-260a82cb33a1 · outbound

This paper cites Rapid increase in breast magnetic resonance imaging use: Trends from 2000 to 2011,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Rapid increase in breast magnetic resonance imaging use: Trends from 2000 to 2011,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.896271Z

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.

Observation e0c720b6-8f6b-48ce-b214-769851ef7636 · outbound

This paper cites Patterns of breast magnetic resonance imaging use in community practice,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Patterns of breast magnetic resonance imaging use in community practice,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.872841Z

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.

Observation 25bd0e97-2f34-4e84-af60-285c74a402d7 · outbound

This paper cites Recent trends in screening breast MRI,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Recent trends in screening breast MRI,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.844028Z

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.

Observation ca77f40f-a97b-4703-b877-ae951e31b7aa · outbound

This paper cites Trends and clinical implications of preoperative breast MRI in medicare beneficiaries with breast cancer,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Trends and clinical implications of preoperative breast MRI in medicare beneficiaries with breast cancer,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.822847Z

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.

Observation d0753105-22b5-4ff6-a8ea-1ce5ea4e4c9d · outbound

This paper cites Utility of bi-rads assessment category 4 subdivisions for screening breast mri,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Utility of bi-rads assessment category 4 subdivisions for screening breast mri,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.786119Z

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.

Observation 0f3c27b8-3dcd-4d6d-bd55-592cb232f8d7 · outbound

This paper cites Bi-rads 3, 4, and 5 lesions: Value of us in management—follow-up and outcome,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Bi-rads 3, 4, and 5 lesions: Value of us in management—follow-up and outcome,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.763205Z

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.

Observation 5f32d076-395c-48fd-bab0-2173bcd29eef · outbound

This paper cites Analysis of utilization patterns and associated costs of the breast imaging and diagnostic procedures after screening mammography,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Analysis of utilization patterns and associated costs of the breast imaging and diagnostic procedures after screening mammography,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.735927Z

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.

Observation c0ca8d80-1fa5-43ee-b0cd-2585d99ae70d · outbound

This paper cites External validation of deep learning algorithms for radiologic diagnosis: A systematic review,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women External validation of deep learning algorithms for radiologic diagnosis: A systematic review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.704613Z

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.

Observation a7e4f149-2022-4625-8147-5ab1364a1168 · outbound

This paper cites Foundation models in radiology: What, how, why, and why not,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Foundation models in radiology: What, how, why, and why not,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.652205Z

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.

Observation e91dadf2-38c4-499c-9ad0-2ff5a5a99bef · outbound

This paper cites M3t: Three-dimensional medical image classifier using multi-plane and multi-slice transformer,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women M3t: Three-dimensional medical image classifier using multi-plane and multi-slice transformer,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.621272Z

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.

Observation 9c55fee9-5466-4e5b-adf8-48017623ba50 · outbound

This paper cites N4ITK: Improved N3 bias correction,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women N4ITK: Improved N3 bias correction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.590045Z

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.

Observation dac87b58-fe0f-4407-bf7e-46510d5a8671 · outbound

This paper cites Adjustable contrast enhancement using fast piecewise linear histogram equalization,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Adjustable contrast enhancement using fast piecewise linear histogram equalization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.555349Z

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.

Observation 7533081e-ff79-4970-aa6b-29352bff4a84 · outbound

This paper cites Medical slice transformer for improved diagnosis and explainability on 3d medical images with dinov2,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Medical slice transformer for improved diagnosis and explainability on 3d medical images with dinov2,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.525174Z

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.

Observation d28f161b-241e-4877-90e9-859ed2968e31 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Dinov2: Learning robust visual features without supervision,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.494250Z

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.

Observation 230e78a2-57d8-417b-b105-b51f499b4287 · outbound

This paper cites Dynamic contrast-enhanced magnetic resonance images of breast cancer patients with tumor locations.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Dynamic contrast-enhanced magnetic resonance images of breast cancer patients with tumor locations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:48.281615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca5cf07-2e27-4e5e-a086-43b4f9e89442 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women KAN: Kolmogorov-Arnold Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:48.286968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5495b1a3-a2ff-401a-a4c5-36ddb4605f65 · outbound

This paper cites Borderline-smote: a new over-sampling method in imbalanced data sets learning,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Borderline-smote: a new over-sampling method in imbalanced data sets learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.451189Z

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.

Observation d83d0c59-be48-4a9b-b9d1-fe2239d4595a · outbound

This paper cites Focal loss for dense object detection,.

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Focal loss for dense object detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:48.426053Z

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.

Pith citing papers

No inbound Pith citation observations are available.