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Paper Citation Record · LEDGER

Joint Manifold Learning and Optimal Transport for Dynamic Imaging

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.11913.

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

pith.paper-citation-record.v1
2505.11913 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:46.111820Z

measured 30 of 30 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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef9b0cb4-28be-4dfc-9025-b6fd1ad9ffda · outbound

This paper cites an unresolved cited work.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec355794-5bc7-4345-b9b0-0acf029adfdb · outbound

This paper cites Springer Science & Business Media (2005).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Springer Science & Business Media (2005)

Reference 2

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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 6a56f6ca-877e-4d90-842c-113b253eecf9 · outbound

This paper cites Master’s thesis, University of Twente (2016).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Master’s thesis, University of Twente (2016)

Reference 3

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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 3fa077a2-69cc-42df-a397-9886b275e7f5 · outbound

This paper cites Optimal Transport on the Lie Group of Roto-translations.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Optimal Transport on the Lie Group of Roto-translations

Reference 4

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Observation 4f2f951c-31c3-428a-aadf-76bf56cbad44 · outbound

This paper cites Foundations of Computational Mathematics23(3), 833–898 (2023).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Foundations of Computational Mathematics23(3), 833–898 (2023)

Reference 5

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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 adc789fa-8e59-4b55-bf30-3be5ad53d207 · outbound

This paper cites an unresolved cited work.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Unresolved cited work

Reference 6

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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 c7c02c53-010f-4ae1-95b0-7d6aaf0c2444 · outbound

This paper cites SIAM Journal on Imaging Sciences11(1), 94–128 (2018).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging SIAM Journal on Imaging Sciences11(1), 94–128 (2018)

Reference 7

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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 2fad2a5c-8154-471a-9363-d167c5f1bfe1 · outbound

This paper cites In- verse Problems37(11), 115004 (2021).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging In- verse Problems37(11), 115004 (2021)

Reference 8

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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 7c133ca3-2aa6-4952-8fb7-d5f06b5eeb73 · outbound

This paper cites SIAM Journal on Imaging Sciences12(4), 1686–1719 (2019).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging SIAM Journal on Imaging Sciences12(4), 1686–1719 (2019)

Reference 9

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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 1abb8ed4-d754-41ca-afec-7153bb55ef22 · outbound

This paper cites SIAM Journal on Imaging Sciences11(1), 575–617 (2018).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging SIAM Journal on Imaging Sciences11(1), 575–617 (2018)

Reference 10

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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 55e99c19-c734-4421-a806-2bcdf7952081 · outbound

This paper cites SIAM Journal on Imaging Sciences 17(4), 2302–2330 (2024).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging SIAM Journal on Imaging Sciences 17(4), 2302–2330 (2024)

Reference 11

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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 7415f88f-c7cc-4977-99c5-e47b070fb764 · outbound

This paper cites Improving Autoencoder Image Interpolation via Dynamic Optimal Transport.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Improving Autoencoder Image Interpolation via Dynamic Optimal Transport

Reference 12

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a8ff7141-1e38-419e-9f5f-20f178597c5d · outbound

This paper cites Inverse Problems39(9), 095007 (2023).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Inverse Problems39(9), 095007 (2023)

Reference 13

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raw_fallback, observed 2026-08-15T20:50:46.428161Z

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 1aa264f4-fa3b-43f6-abff-63765a100700 · outbound

This paper cites In- verse Problems36(2), 025001 (2020).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging In- verse Problems36(2), 025001 (2020)

Reference 14

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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 7abcc5e8-7a11-451b-bf20-530a1751c96b · outbound

This paper cites SIAM Journal on Mathematics of Data Science5(2), 475–501 (2023) 12 S.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging SIAM Journal on Mathematics of Data Science5(2), 475–501 (2023) 12 S

Reference 15

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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 fc486fcd-bd50-419a-8841-d89de3ab8cbb · outbound

This paper cites Manifold learning in Wasserstein space.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Manifold learning in Wasserstein space

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db2c59a4-825a-4f89-8bf8-52429497157e · outbound

This paper cites Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision pp.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision pp

Reference 17

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verified fuzzy
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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 e62c7484-de0d-4600-a9a4-1437a6a775b1 · outbound

This paper cites IEEE Transactions on Computational Imaging8, 693–704 (2022).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging IEEE Transactions on Computational Imaging8, 693–704 (2022)

Reference 18

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Observation 76f04752-2ab7-413f-b8ef-5468cff2baaa · outbound

This paper cites Applied Mathematics & Optimization 82, 1081–1109 (2020).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Applied Mathematics & Optimization 82, 1081–1109 (2020)

Reference 19

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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 cf52571d-3a84-4388-9627-2f8f60479044 · outbound

This paper cites ESAIM: Math- ematical Modelling and Numerical Analysis49(6), 1745–1769 (2015).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging ESAIM: Math- ematical Modelling and Numerical Analysis49(6), 1745–1769 (2015)

Reference 20

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verified fuzzy
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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 047f65fd-5a7d-453b-aefd-599a3c1eb208 · outbound

This paper cites Nature Methods 20(7), 1010–1020 (2023).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Nature Methods 20(7), 1010–1020 (2023)

Reference 21

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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 e363162e-276d-4552-a971-7256304cb3de · outbound

This paper cites Inverse Problems35(5), 055005 (2019).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Inverse Problems35(5), 055005 (2019)

Reference 22

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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 d97088b6-4f88-443c-979e-15894a5712d4 · outbound

This paper cites Journal of Scientific Computing98(3), 57 (2024).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Journal of Scientific Computing98(3), 57 (2024)

Reference 23

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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 7db2737c-21d1-4f38-a2c8-ea1961b6e15c · outbound

This paper cites an unresolved cited work.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Unresolved cited work

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 868ad818-5a4b-4672-bef9-a25bd817de4e · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

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no resolver link, observed 2026-08-15T20:50:46.094654Z

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Unavailable: canonical work link unavailable.

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Observation 2218f829-643f-457b-b834-2a81ed7b456c · outbound

This paper cites SIAM Journal on Imaging Sciences11(1), 643–678 (2018).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging SIAM Journal on Imaging Sciences11(1), 643–678 (2018)

Reference 26

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raw_fallback, observed 2026-08-15T20:50:46.317026Z

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 a7dc8d28-e938-4d47-a5f8-d108bbf16eec · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:46.304931Z

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 3d6ef530-19b9-4b70-a046-e91d3f789ef9 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024), https://openreview.net/forum?id=j8hdRqOUhN.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging In: The Twelfth International Conference on Learning Representations (2024), https://openreview.net/forum?id=j8hdRqOUhN

Reference 28

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Unavailable: canonical work link unavailable.

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Observation df5bb715-2405-45af-922e-63d3e1d299c5 · outbound

This paper cites Nature methods14(12), 1141–1152 (2017).

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Nature methods14(12), 1141–1152 (2017)

Reference 29

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raw_fallback, observed 2026-08-15T20:50:46.287503Z

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 49a255ff-c63a-47af-b010-9af6fa59045f · outbound

This paper cites an unresolved cited work.

Joint Manifold Learning and Optimal Transport for Dynamic Imaging Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.