Paper Citation Record · LEDGER

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.04748.

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

pith.paper-citation-record.v1
2502.04748 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:42:37.378013Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

25 of 25 outbound references displayed

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verified fuzzy11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1998e7aa-e373-4c4f-950f-6654793d4b65 · outbound

This paper cites Scientific Reports10 (2020).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Scientific Reports10 (2020)

Reference 1

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Observation 399dcb4c-df7d-444e-aa23-c7eadc865256 · outbound

This paper cites 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (10 2021).https://doi.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (10 2021).https://doi

Reference 2

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Observation 1142ca3f-1bbf-4e60-b211-a344a600b192 · outbound

This paper cites International Conference on Machine Learning 1, 1597–1607 (7 2020).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges International Conference on Machine Learning 1, 1597–1607 (7 2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.761771Z

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Observation 7cb22fbb-c0b6-4236-800d-2a92b0537fac · outbound

This paper cites Big Self-Supervised Models are Strong Semi-Supervised Learners.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Big Self-Supervised Models are Strong Semi-Supervised Learners

Reference 4

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Observation 55c21ac1-2b62-4c9a-b6da-11f73bfb6b8e · outbound

This paper cites Signal Image and Video Processing16(8), 2269–2277 (3 2022).https://doi.org/10.1007/s11760-022-02192-5.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Signal Image and Video Processing16(8), 2269–2277 (3 2022).https://doi.org/10.1007/s11760-022-02192-5

Reference 5

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Observation 58588647-2069-426a-871b-753d1839ee40 · outbound

This paper cites In: CVPR09 (2009).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges In: CVPR09 (2009)

Reference 6

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Observation eddd98df-129e-49db-af99-8d202ae3b888 · outbound

This paper cites 2015 IEEE International Conference on Computer Vision (ICCV) pp.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges 2015 IEEE International Conference on Computer Vision (ICCV) pp

Reference 7

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Observation d9bb495c-d791-44aa-aa6c-c0d9be0cb339 · outbound

This paper cites In: IAPR International Workshop on Artificial Neural Networks in Pattern Recognition (2022).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges In: IAPR International Workshop on Artificial Neural Networks in Pattern Recognition (2022)

Reference 8

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Observation af6c00bf-5f05-4f94-9059-d7716edae885 · outbound

This paper cites Endoscopy37(6), 570–578 (Jun 2005).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Endoscopy37(6), 570–578 (Jun 2005)

Reference 9

Resolution: verified exact; doi, observed 2026-08-08T21:42:37.465543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c04d8cf-1843-4439-95cb-7aa73885a5d5 · outbound

This paper cites International Conference on Artificial Intelligence and Self-Supervised Learning for Pre-training Capsule Networks 13 Statistics pp.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges International Conference on Artificial Intelligence and Self-Supervised Learning for Pre-training Capsule Networks 13 Statistics pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.725155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f8e65a3d-614a-420c-98a7-a0f87ff807c5 · outbound

This paper cites World Journal of Gastrointestinal Endoscopy6(12), 600–605 (Dec 2014).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges World Journal of Gastrointestinal Endoscopy6(12), 600–605 (Dec 2014)

Reference 11

Resolution: verified exact; doi, observed 2026-08-08T21:42:37.455207Z

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Observation 92f84c4c-8d89-44d3-beeb-461d5734b04f · outbound

This paper cites 2015 IEEE International Conference on Computer Vision (ICCV) pp.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges 2015 IEEE International Conference on Computer Vision (ICCV) pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.714805Z

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Observation 130f0f1d-05d5-42c2-9913-f368d95e40b7 · outbound

This paper cites Interna- tional Conference on Learning Representations (2 2018).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Interna- tional Conference on Learning Representations (2 2018)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.703852Z

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Observation a9406fb0-88f6-4277-a7c5-9f2b566d1e17 · outbound

This paper cites Computer Methods and Programs in Biomedicine Update5, 100146 (1 2024).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Computer Methods and Programs in Biomedicine Update5, 100146 (1 2024)

Reference 14

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Observation 66bdd94c-123e-4bb1-be3f-466a16effb0d · outbound

This paper cites BMC Medical Imaging23(1) (4 2023).https://doi.org/10.1186/ s12880-023-01007-4.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges BMC Medical Imaging23(1) (4 2023).https://doi.org/10.1186/ s12880-023-01007-4

Reference 15

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Source-reported events for the cited work

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Observation fb0d78a5-679a-4c9d-8b11-8f8ba8d29d95 · outbound

This paper cites Springer, Cham (1 2020).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Springer, Cham (1 2020)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.681062Z

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Observation b74a53c4-73ca-4fee-be21-7abc09f326ed · outbound

This paper cites 2017 IEEE Conference on Computer Vision and Pattern Recogni- tion (CVPR) pp.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges 2017 IEEE Conference on Computer Vision and Pattern Recogni- tion (CVPR) pp

Reference 17

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Observation 4017ad6f-6a7a-42b5-aec3-155041351573 · outbound

This paper cites arXiv: Learning (2016).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges arXiv: Learning (2016)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.661129Z

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Observation ae4b1c88-1aaa-4cb9-acac-1a86c4df057a · outbound

This paper cites In: International Conference on Learning Representations (2017).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges In: International Conference on Learning Representations (2017)

Reference 19

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Observation d6b3ac1d-8228-4b79-9107-87539798df91 · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 20

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Observation bd935f6a-9ed9-4da9-86d0-2a18e6fcafe8 · outbound

This paper cites Journal of Digital Imaging11(4), 193–200 (11 1998).https: //doi.org/10.1007/bf03178082.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Journal of Digital Imaging11(4), 193–200 (11 1998).https: //doi.org/10.1007/bf03178082

Reference 21

Resolution: verified exact; doi, observed 2026-08-08T21:42:37.437169Z

Source-reported events for the cited work

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Observation 9ceff9aa-6bd9-4077-a17e-62654a442ad4 · outbound

This paper cites Dynamic Routing Between Capsules.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Dynamic Routing Between Capsules

Reference 22

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Observation c38ff85b-61b7-4f8e-bd1d-5495ee22d0a2 · outbound

This paper cites Annual Review of Biomedical Engineering19(1), 221–248 (6 2017).https://doi.org/10.

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Annual Review of Biomedical Engineering19(1), 221–248 (6 2017).https://doi.org/10

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:42:37.640245Z

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Observation 640fbc44-033d-4a56-8df4-da227529c871 · outbound

This paper cites Applied Sciences10(23), 8501 (11 2020).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Applied Sciences10(23), 8501 (11 2020)

Reference 24

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Observation c40549f1-47db-4675-8bdf-fd065206c6fe · outbound

This paper cites Springer, Cham (1 2019).

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges Springer, Cham (1 2019)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T21:42:37.378013Z

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Pith citing papers

No inbound Pith citation observations are available.