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Paper Citation Record · LEDGER

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets

As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2509.10453.

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

pith.paper-citation-record.v1
2509.10453 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:49:08.410285Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:33:38.721133Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92f2c0fd-0477-4197-b048-f1606870d735 · outbound

This paper cites Medical Image Analysis12(1), 26–41 (2008).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Medical Image Analysis12(1), 26–41 (2008)

Reference 1

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Observation d4c015ad-3bba-4187-8bcd-b03a1205a6d2 · outbound

This paper cites Medical Image Analysis86, 102789 (2023).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Medical Image Analysis86, 102789 (2023)

Reference 2

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Observation 44d78ca6-7cbe-49b9-8791-fdda28ed2c81 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets MONAI: An open-source framework for deep learning in healthcare

Reference 3

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Observation e5b73cbb-109a-4023-9e99-95ebbd61a10f · outbound

This paper cites In: Proceedings of the 37th International Conference on Machine Learning.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets In: Proceedings of the 37th International Conference on Machine Learning

Reference 4

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source=pdf_text observed=2026-08-04T17:49:06.915348Z digest=sha256:c1dd8679bd3209fc6520a2b2cfdc59986639a3cf5d09d1f33bcc05d9a70e101c

Observation 7c6ec254-d764-4649-9133-8b41ff83c7d4 · outbound

This paper cites IEEE Signal Processing Magazine 39(3), 42–62 (2022).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets IEEE Signal Processing Magazine 39(3), 42–62 (2022)

Reference 5

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source=pdf_text observed=2026-08-04T17:49:07.025779Z digest=sha256:0169eba12d407f124847a324b0f15c7898c5197dbb6e16156ac8b55371460e5d

Observation c801bcd9-a15a-407c-bda3-d48fb0ddd744 · outbound

This paper cites Computers in Biology and Medicine 146, 105634 (2022).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Computers in Biology and Medicine 146, 105634 (2022)

Reference 6

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Observation 6c5cc9f5-214a-47db-82b2-64216f0103e2 · outbound

This paper cites Ageing Research Reviews77, 101614 (2022).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Ageing Research Reviews77, 101614 (2022)

Reference 7

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Observation 4ef8120a-4a26-433a-9ec6-3e84187fbb61 · outbound

This paper cites Biomedical Signal Processing and Control96, 106572 (2024).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Biomedical Signal Processing and Control96, 106572 (2024)

Reference 8

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Observation dd2d1d17-e7d9-4a48-b460-26ff439bb375 · outbound

This paper cites Frontiers in Neuroinformatics19 (2025).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Frontiers in Neuroinformatics19 (2025)

Reference 9

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Observation 2e23aa8e-d65c-468c-81be-837f9efd8524 · outbound

This paper cites Deep Residual Learning for Image Recognition.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Deep Residual Learning for Image Recognition

Reference 10

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Observation 9544016c-103c-4ead-b5d4-62b35879e28d · outbound

This paper cites NeuroImage260, 119474 (2022).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets NeuroImage260, 119474 (2022)

Reference 11

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Observation f36416ea-3f85-4b1f-b342-3b563168e782 · outbound

This paper cites Frontiers in Aging Neuroscience11(2019).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Frontiers in Aging Neuroscience11(2019)

Reference 12

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Observation 82aa4c80-60b1-4119-9348-1eeaf28bf0b4 · outbound

This paper cites Neurologic Clinics25(3), 577–609 (2007).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Neurologic Clinics25(3), 577–609 (2007)

Reference 13

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Observation 78a6e6e9-ca27-4f78-b52b-b2307a16532a · outbound

This paper cites In: Leibe, B., Matas, J., Sebe, N., Welling, M.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets In: Leibe, B., Matas, J., Sebe, N., Welling, M

Reference 14

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Observation b9e542cd-1064-45d7-847f-9e860d1a1904 · outbound

This paper cites Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring13(1), e12202 (2021).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring13(1), e12202 (2021)

Reference 15

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Observation 32b8b074-2067-4654-ab21-046accb4d356 · outbound

This paper cites Neurology74(3), 201–209 (2010).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Neurology74(3), 201–209 (2010)

Reference 16

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Observation b7512da5-3924-4d20-9d78-2c0fe3f18f1d · outbound

This paper cites Neuroepidemiology30(1), 58–69 (2008).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Neuroepidemiology30(1), 58–69 (2008)

Reference 17

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Observation e32d4b45-df8c-49c0-b35f-06791ff6159d · outbound

This paper cites Funded by the National Institute on Aging; coordi- nated by UCSF and collaborating sites in North America (2010), http://memory.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Funded by the National Institute on Aging; coordi- nated by UCSF and collaborating sites in North America (2010), http://memory

Reference 18

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Observation c11c6ea6-2d5c-4b00-8811-1956c84b9d7e · outbound

This paper cites NeuroImage: Clinical6, 9–19 (2014).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets NeuroImage: Clinical6, 9–19 (2014)

Reference 19

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Observation 51a30014-e374-41be-b531-e2c5cc9a2d77 · outbound

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

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets In: Linguraru, M.G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K., Schnabel, J.A

Reference 20

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Observation 1c25aa68-5d7c-47c2-aa8d-a81ba1c81b16 · outbound

This paper cites https://doi.org/10.1109/TMI.2010.2046908.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets https://doi.org/10.1109/TMI.2010.2046908

Reference 21

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Observation da9d1009-ade6-4f9f-99d0-d25de134714c · outbound

This paper cites Archives of Computational Methods in Engineering32, 1229–1298 (2025).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets Archives of Computational Methods in Engineering32, 1229–1298 (2025)

Reference 22

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Observation 44ad1de4-c103-4fcd-bf53-0adf1fc04952 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR) (2019).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets In: Computer Vision and Pattern Recognition (CVPR) (2019)

Reference 23

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Observation e48aac51-a0e4-4972-b38d-49941331e977 · outbound

This paper cites In: 2022 International Joint Conference on Neural Networks (IJCNN).

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets In: 2022 International Joint Conference on Neural Networks (IJCNN)

Reference 24

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Pith citing papers

Observation 9dd65eda-28a3-4648-9df1-69e57a7928ff · inbound

Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction cites this paper.

Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets

Reference 25

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