Paper Citation Record · LEDGER

Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.00229.

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

pith.paper-citation-record.v1
2410.00229 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:15:16.761706Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 71ffeb7f-3f08-4975-9d10-f0d25ee65305 · inbound

Efficient Deconvolution in Populational Inverse Problems cites this paper.

Efficient Deconvolution in Populational Inverse Problems Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:22:23.819214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d50288a-a0a7-4c61-8d61-7837a4b45340 · inbound

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants cites this paper.

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:03:39.110474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation def88c6d-cbf8-453d-b358-8c92d289f61f · inbound

Learning interacting particle systems from unlabeled data cites this paper.

Learning interacting particle systems from unlabeled data Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:03:12.354049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4b6ac73-4a47-4149-af01-5f71394e6a51 · inbound

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data cites this paper.

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:15:53.871114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f1386be-3dfb-4985-8a23-c812473a0e49 · inbound

Distributional Inverse Homogenization cites this paper.

Distributional Inverse Homogenization Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:19.012887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3bca3d86-492b-48c4-820d-3dbc3d409446 · inbound

Distributional Inverse Homogenization cites this paper.

Distributional Inverse Homogenization Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:07:31.272569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d86ded5-ba72-42d5-a48c-77c2fd7739f7 · inbound

Distributional Inverse Homogenization cites this paper.

Distributional Inverse Homogenization Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T20:13:09.538206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f55b6e-092c-44b6-87ad-7a8dedc5a112 · inbound

Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime cites this paper.

Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:47:25.788165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c3a790c-1832-435b-81b8-a878e46a1784 · inbound

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems cites this paper.

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-06-30T05:34:19.557013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a04618ce-b284-417f-b51c-daa56de2f46e · inbound

Random Inverse Problems with Structural and Probabilistic Ambiguities cites this paper.

Random Inverse Problems with Structural and Probabilistic Ambiguities Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:15:16.761706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.