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Paper Citation Record · LEDGER

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.10463.

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

pith.paper-citation-record.v1
2606.10463 v1

Coverage vector

measured 36 of 36 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T11:38:12.627769Z

measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 9fba0ec7-f17b-43fc-9b49-1789c21aa129 · outbound

This paper cites The Geometry of Algorithms with Orthogonality Constraints , journal =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry The Geometry of Algorithms with Orthogonality Constraints , journal =

Reference 1

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Observation 25410a5c-dcdd-4d3e-9422-80ffe045b754 · outbound

This paper cites and Mahony, R.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Mahony, R

Reference 2

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Unresolved cited work

Reference 3

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This paper cites Mathematical Programming , volume =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Mathematical Programming , volume =

Reference 4

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Unresolved cited work

Reference 5

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Observation 42a0abec-fc64-4df8-ab1e-606559862c27 · outbound

This paper cites Statistica Sinica , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Statistica Sinica , year =

Reference 6

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry , title =

Reference 7

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Observation d3ffab8c-5cda-4ce9-b635-de348f97e2c6 · outbound

This paper cites and Lu, Arthur Yu , title =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Lu, Arthur Yu , title =

Reference 8

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Observation dc508dff-fa27-4bc2-af07-4a34e292c5ef · outbound

This paper cites Bernoulli , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Bernoulli , year =

Reference 9

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This paper cites Mathematics of Operations Research , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Mathematics of Operations Research , year =

Reference 10

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This paper cites Mathematical Programming , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Mathematical Programming , year =

Reference 11

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Observation f986e264-be15-4755-935b-554d2e4d6fa8 · outbound

This paper cites , title =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry , title =

Reference 12

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Observation d382df39-6d4d-4a41-8ce9-b9cd1ff9a3e9 · outbound

This paper cites , title =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry , title =

Reference 13

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Observation 4ef88334-48e6-480d-92ae-478358cfdf0e · outbound

This paper cites Journal of Applied Probability , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Journal of Applied Probability , year =

Reference 14

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Observation bad9e314-d16e-4a23-a4b9-3bcc88e69487 · outbound

This paper cites Biometrika , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Biometrika , year =

Reference 15

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry 2019 Winter Simulation Conference (WSC) , year =

Reference 16

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Observation ca424bd4-8074-48b6-a4b2-cb9487c14648 · outbound

This paper cites Robust principal component analysis? , journal =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Robust principal component analysis? , journal =

Reference 17

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry 2025 , eprint =

Reference 18

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Observation d3bc64f3-bc7d-4ba4-a0f0-84cbd5f17d26 · outbound

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Machine Learning , volume=

Reference 19

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Observation 3f10d7e0-7cdb-4f1f-9a91-dd8a56fc709e · outbound

This paper cites Journal of the American Statistical Association , year =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Journal of the American Statistical Association , year =

Reference 20

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Biometrika , year =

Reference 21

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Observation 8ed3d3ca-b7b2-452d-83c9-4fd4a57742e0 · outbound

This paper cites and Vanden Branden, Karlien , title =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Vanden Branden, Karlien , title =

Reference 22

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Wang, Jane-Ling , title =

Reference 23

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Operations Research , year =

Reference 24

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Glynn, Peter W

Reference 25

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This paper cites and Namkoong, Hongseok , title =.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Namkoong, Hongseok , title =

Reference 26

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Operations Research , year =

Reference 27

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry UCI Machine Learning Repository

Reference 28

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Observation fe670a3b-879f-4c76-aba2-8d0fc5231410 · outbound

This paper cites Enhancing Distributional Robustness in Principal Component Analysis by Wasserstein Distances.

Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Enhancing Distributional Robustness in Principal Component Analysis by Wasserstein Distances

Reference 29

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Management Science , volume=

Reference 30

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Management Science , year =

Reference 31

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Operations Research , year =

Reference 32

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Journal of Econometrics , year =

Reference 33

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry 2026 , note =

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry Statistical Science , year =

Reference 35

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Distributionally Robust PCA with Data-Adaptive Wasserstein Geometry and Cai, T

Reference 36

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Pith citing papers

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