Paper Citation Record · LEDGER

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2504.19888.

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

pith.paper-citation-record.v1
2504.19888 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:44:15.765397Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

36 of 36 outbound references displayed

verified exact1
verified fuzzy14
unresolved21
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c75fe9c-1449-4492-b373-4a18cacf2ee4 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.177265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4691733c-376f-4617-bd54-e407a0d1219c · outbound

This paper cites Pashayan, A.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Pashayan, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.167431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5bc2dc3e-957b-4838-a0a3-c6025ae207d6 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.156590Z

Source-reported events for the cited work

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Observation 77ac5d8a-0c69-4eee-aea9-1dc7ee977bce · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.146016Z

Source-reported events for the cited work

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Observation 09aa016e-5210-4203-ae86-9ae54dce6e41 · outbound

This paper cites Hovda, S.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Hovda, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.135780Z

Source-reported events for the cited work

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Observation 7674fd7d-2887-4367-bd29-63c0231f3e4a · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.125583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80568a0d-c750-4f3a-97f4-37399201e7c8 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.115312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77f62841-9a07-46aa-8a89-401c30793438 · outbound

This paper cites Schaffter, D.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Schaffter, D

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.104437Z

Source-reported events for the cited work

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Observation c1e2b90a-059f-4ed0-9fa2-52c7e94343cb · outbound

This paper cites Lotter, A.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Lotter, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.093912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc191287-903d-456c-ac06-77459ae2432c · outbound

This paper cites Samek, G.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Samek, G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.082903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b73cae7-6430-44fd-babe-f526be6fc386 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.071062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0e5ddfd-9816-4e83-af40-8a65bebb9ccd · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.060009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48155727-85d6-4032-91bc-24a7e9d284df · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.048272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cfa5b1be-e976-4c71-b5a9-ef9cf66420fd · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.036659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c7d61ad-6fb0-4c33-8ea9-4e4bacb72d2f · outbound

This paper cites Ribli, A.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Ribli, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.025972Z

Source-reported events for the cited work

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Observation 925ec591-f7f2-4018-a125-73baab45a200 · outbound

This paper cites Rangarajan, A.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Rangarajan, A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:16.014075Z

Source-reported events for the cited work

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Observation b4c97eca-ac5e-43de-9aae-a0d731bb4ed0 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:16.003638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af26d5fa-29d3-4ae0-9509-4c0597b108e0 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.992041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aaef0b7d-7df4-475d-87cc-099c7fbaed60 · outbound

This paper cites Wei, H.-P.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Wei, H.-P

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.981483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2a68110-0d75-4a1c-8870-3a2a403f8872 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.970558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbc6d082-34c7-46c2-9fd7-5f71c5b39e47 · outbound

This paper cites Jing and Y.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Jing and Y

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.959060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb8e1869-fe66-4eff-b252-a6d9d44d79e1 · outbound

This paper cites Caron, H.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Caron, H

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.948703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7ae4e06-d3ee-4f6c-a930-2450346d26a0 · outbound

This paper cites Efficient Self-supervised Vision Transformers for Representation Learning.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Efficient Self-supervised Vision Transformers for Representation Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:15.718289Z

Source-reported events for the cited work

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Observation c855de7d-0584-4a0e-9533-1767a22f6794 · outbound

This paper cites Grill, F.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Grill, F

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.938415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75bcfbf4-f384-4962-a5b9-b020ed83e1d5 · outbound

This paper cites Chen and A.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Chen and A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.927759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0114a42c-2d27-4783-a095-1b5e88cd02e5 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.917182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26b8710c-a590-4288-a478-2d07d4e5f22e · outbound

This paper cites Clark, B.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Clark, B

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.906660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1f16036-5360-4ea8-9cd9-b2f37677ff44 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.895548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 353f6c5b-887c-4827-85ad-57bef4fd46c5 · outbound

This paper cites End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:44:15.811308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31854f39-414f-48b8-8ffa-d2769d6ca41c · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.883996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 053974d6-932d-416c-926d-9fe2c59fae45 · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.873398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73c51b5d-6893-4ce0-84e5-35245668af5c · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.862177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3efd2822-1509-4dab-8285-62da8d7af730 · outbound

This paper cites Decoupled Weight Decay Regularization.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Decoupled Weight Decay Regularization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:15.754299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1eaffd0-fd10-44f3-a0ba-8f056867113d · outbound

This paper cites Paszke, S.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Paszke, S

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:15.851325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 331d0159-7dbb-4299-953d-cd328e7eab9b · outbound

This paper cites an unresolved cited work.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:44:15.839327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f6beecc-4caa-44e3-affa-f1fb142089ed · outbound

This paper cites write newline.

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:15.765397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.