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Paper Citation Record · LEDGER

Gradient Flow Sampler-based Distributionally Robust Optimization

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2510.25956.

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

pith.paper-citation-record.v1
2510.25956 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:29:41.835736Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

41 of 41 outbound references displayed

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  • unresolved41
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External citation measurements

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Outbound references

Observation 46d5e89b-c989-40fa-8b95-d658416f173b · outbound

This paper cites an unresolved cited work.

Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 1

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Observation 2c84773a-40dd-4a64-9bc0-5464728354b7 · outbound

This paper cites A., Ghassemi, M., Sun, S., Suzuki, T., Wu, D., and Zhang, T.

Gradient Flow Sampler-based Distributionally Robust Optimization A., Ghassemi, M., Sun, S., Suzuki, T., Wu, D., and Zhang, T

Reference 2

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Observation 2bb1fa5b-9d52-4960-a1d6-d08ba994acb5 · outbound

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 3

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Observation 35d83e86-9771-4264-af39-20974fea8d18 · outbound

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 4

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Observation 281202b1-a5c3-4e41-806c-dc348396d8d6 · outbound

This paper cites A., Chen, Y., Huang, D.

Gradient Flow Sampler-based Distributionally Robust Optimization A., Chen, Y., Huang, D

Reference 5

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 6

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Observation 6455560c-d5fb-4ac7-8931-31dd02642134 · outbound

This paper cites Sampling via Gradient Flows in the Space of Probability Measures.

Gradient Flow Sampler-based Distributionally Robust Optimization Sampling via Gradient Flows in the Space of Probability Measures

Reference 7

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Observation 5d7173f7-2f9a-4bb3-b4b2-4e8769244660 · outbound

This paper cites R., Lu, C., Le Gouic, T., and Rigollet, P.

Gradient Flow Sampler-based Distributionally Robust Optimization R., Lu, C., Le Gouic, T., and Rigollet, P

Reference 8

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Observation 939ebadd-1804-4c6a-80e2-51201b523854 · outbound

This paper cites Statistical optimal transport.

Gradient Flow Sampler-based Distributionally Robust Optimization Statistical optimal transport

Reference 9

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This paper cites E., Hoffman, F., Mazumdar, E., and Ratliff, L.

Gradient Flow Sampler-based Distributionally Robust Optimization E., Hoffman, F., Mazumdar, E., and Ratliff, L

Reference 10

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Observation 0fe14ebe-6393-4720-9078-98f2ce7c19ec · outbound

This paper cites and Ye, Y.

Gradient Flow Sampler-based Distributionally Robust Optimization and Ye, Y

Reference 11

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Observation da9887f2-fea6-491f-a237-ca9e9d404d13 · outbound

This paper cites and Lebret, H.

Gradient Flow Sampler-based Distributionally Robust Optimization and Lebret, H

Reference 12

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Observation 393132e3-f13a-4eca-b079-b2abc550d714 · outbound

This paper cites Distributionally Robust Stochastic Optimization with Wasserstein Distance.

Gradient Flow Sampler-based Distributionally Robust Optimization Distributionally Robust Stochastic Optimization with Wasserstein Distance

Reference 13

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This paper cites an unresolved cited work.

Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 14

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Gradient Flow Sampler-based Distributionally Robust Optimization and Sanz-Alonso, D

Reference 15

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Gradient Flow Sampler-based Distributionally Robust Optimization and Lan, G

Reference 16

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Gradient Flow Sampler-based Distributionally Robust Optimization and Hong, L

Reference 17

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 18

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Observation f198fb82-bb65-419b-9089-53e8917c4595 · outbound

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 19

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Gradient Flow Sampler-based Distributionally Robust Optimization T., Shen, R., and Tian, K

Reference 20

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Gradient Flow Sampler-based Distributionally Robust Optimization C., and Sidford, A

Reference 21

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Gradient Flow Sampler-based Distributionally Robust Optimization and Wang, D

Reference 22

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Gradient Flow Sampler-based Distributionally Robust Optimization Accelerating Langevin Sampling with Birth-death

Reference 23

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 24

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Gradient Flow Sampler-based Distributionally Robust Optimization An introduction to the analysis of gradients systems

Reference 25

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 26

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Gradient Flow Sampler-based Distributionally Robust Optimization Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals

Reference 27

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Gradient Flow Sampler-based Distributionally Robust Optimization and Kuhn, D

Reference 28

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 29

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 30

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Gradient Flow Sampler-based Distributionally Robust Optimization and Mackey, L

Reference 31

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Observation 238f0d35-122d-4d9d-8393-7d993427be90 · outbound

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Gradient Flow Sampler-based Distributionally Robust Optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 32

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Gradient Flow Sampler-based Distributionally Robust Optimization and Wibisono, A

Reference 33

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This paper cites An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games.

Gradient Flow Sampler-based Distributionally Robust Optimization An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games

Reference 34

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Gradient Flow Sampler-based Distributionally Robust Optimization Sinkhorn Distributionally Robust Optimization

Reference 35

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This paper cites Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality.

Gradient Flow Sampler-based Distributionally Robust Optimization Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality

Reference 36

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 37

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Gradient Flow Sampler-based Distributionally Robust Optimization V., and Jordan, M

Reference 38

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Observation fe6594dd-de1b-4ea2-b87e-2740b1e79228 · outbound

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Gradient Flow Sampler-based Distributionally Robust Optimization and Guan, Y

Reference 39

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Gradient Flow Sampler-based Distributionally Robust Optimization Unresolved cited work

Reference 40

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Observation 93ddbed5-5b3f-4e7e-a9c2-156beb47160f · outbound

This paper cites Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces.

Gradient Flow Sampler-based Distributionally Robust Optimization Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces

Reference 41

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