Paper Citation Record · LEDGER

Sampling via Gradient Flows in the Space of Probability Measures

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.03597.

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

pith.paper-citation-record.v1
2310.03597 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:26:12.776385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:18.521230Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5a4a23a8-58be-4ee0-ba1e-856ec29e183d · inbound

Wasserstein Gradient Flows of MMD Functionals with Distance Kernels under Sobolev Regularization cites this paper.

Wasserstein Gradient Flows of MMD Functionals with Distance Kernels under Sobolev Regularization Sampling via Gradient Flows in the Space of Probability Measures

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:26:12.776385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54db21ae-0db0-439a-a4c2-7fb85b52dfac · inbound

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems cites this paper.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Sampling via Gradient Flows in the Space of Probability Measures

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:01.952674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bda05b4-0611-406f-b174-2aeb5e5a5c9d · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Sampling via Gradient Flows in the Space of Probability Measures

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:50.075225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eabe9b95-06b2-4557-bf9f-f9518b7750c8 · inbound

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models cites this paper.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Sampling via Gradient Flows in the Space of Probability Measures

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:43.893172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b6a48a5-4d28-4e71-93bf-2bd0de7dbf1a · inbound

Harnessing the Power of Reinforcement Learning for Adaptive MCMC cites this paper.

Harnessing the Power of Reinforcement Learning for Adaptive MCMC Sampling via Gradient Flows in the Space of Probability Measures

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:14.449596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Gradient Flow Sampler-based Distributionally Robust Optimization cites this paper.

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

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T07:29:19.355902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f868d06-a975-4189-9383-1313c2d2089f · inbound

An equivalence of moment closure and nonlinear variational approximation of the Fokker-Planck equation for dilute polymeric flow cites this paper.

An equivalence of moment closure and nonlinear variational approximation of the Fokker-Planck equation for dilute polymeric flow Sampling via Gradient Flows in the Space of Probability Measures

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:43:49.664898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f5a0f9-5a22-4fd3-a358-1d1e3932fd7b · inbound

Properties and limitations of geometric tempering for gradient flow dynamics cites this paper.

Properties and limitations of geometric tempering for gradient flow dynamics Sampling via Gradient Flows in the Space of Probability Measures

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:04:17.977532Z

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.

Observation e18ee6fc-ac02-4f2c-ab61-26784b19fc7b · inbound

Multiscale Nudging: From Macroscopic Observations to Microscopic Dynamics cites this paper.

Multiscale Nudging: From Macroscopic Observations to Microscopic Dynamics Sampling via Gradient Flows in the Space of Probability Measures

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:18.522760Z

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.