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Paper Citation Record · LEDGER

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.11024.

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

pith.paper-citation-record.v1
2302.11024 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:02:13.046710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:18.524614Z

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 dbeefc1f-8feb-489f-8a6d-e65d07bed6e5 · inbound

Fast Approximate Solution of Stein Equations for Post-Processing of MCMC cites this paper.

Fast Approximate Solution of Stein Equations for Post-Processing of MCMC Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:13.046710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:13.046710Z digest=sha256:079744eeed3550b69ce527bc9b2706a2534c2f31dde90c78679370564c8e0d59

Observation 593df9b0-01e0-4664-be0f-7fcf133dce46 · inbound

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference cites this paper.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:13.171107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:13.171107Z digest=sha256:fc0609044a34a137d2966bdd8c40021bae00d2cb42669a035a396ae42d342be9

Observation af330939-ab17-4874-b1fa-a0d5bdeca3c2 · inbound

Constrained Variational Inference via Safe Particle Flow cites this paper.

Constrained Variational Inference via Safe Particle Flow Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:47.306659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T17:41:59.796795Z digest=sha256:260597e3c1db1343a5b777a54dd78b626d5149823a6601967d51466a43e3fb11

Observation e7288d8e-0cb8-4b35-81e8-ef12b605dd6a · inbound

To discretize continually: Mean shift interacting particle systems for Bayesian inference cites this paper.

To discretize continually: Mean shift interacting particle systems for Bayesian inference Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:08:29.627037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:05:17.444014Z digest=sha256:bcce1d25834c9dd0a68e8817ef9690c5cfa6d4e4605cd4abf539cd4d5d23f4df

Observation 18810b48-2db8-40e6-834b-69e08af19371 · inbound

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

Multiscale Nudging: From Macroscopic Observations to Microscopic Dynamics Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:07:18.526382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T21:37:26.956806Z digest=sha256:fea00a1713dbe5b6f30fcccee4960e9684e7e1fe85da398f8478fc23cc507b2e