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Paper Citation Record · LEDGER

Variational Wasserstein gradient flow

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2112.02424.

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

pith.paper-citation-record.v1
2112.02424 v3

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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:30:58.569330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:15:47.247126Z

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 6d01bca7-e550-4459-b7ea-7a7e243447c9 · inbound

Nested Annealed Training Scheme for Generative Adversarial Networks cites this paper.

Nested Annealed Training Scheme for Generative Adversarial Networks Variational Wasserstein gradient flow

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T18:30:58.569330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:30:58.569330Z digest=sha256:419037e5c89f6d4b7e168ae460ce0947cbfa69913468202f4b0d603fb2d9b4b0

Observation 6d782784-2554-4db8-9ea9-97515a455382 · inbound

Adversarial Transform Particle Filters cites this paper.

Adversarial Transform Particle Filters Variational Wasserstein gradient flow

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T16:36:50.680883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:36:50.680883Z digest=sha256:75b96e1f3e5b7b2f016e2e7a6953d27333e568ffa6e630c7e9683de967656baf

Observation 57002a79-6665-467a-b679-c8a7329c1ca8 · 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 Variational Wasserstein gradient flow

Reference 213

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:50.403569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:50.403569Z digest=sha256:67bee601ee61ef8f8ac0bc6d53a3df26a2b3adcb3dcdbd8c1c2be9e6689aff30

Observation 2b205451-485f-4a9f-b875-91553ad608f6 · inbound

One-Step Generative Modeling via Wasserstein Gradient Flows cites this paper.

One-Step Generative Modeling via Wasserstein Gradient Flows Variational Wasserstein gradient flow

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:47:33.013800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T07:45:39.888214Z digest=sha256:8aa1766bcfdaf7c96e72625b6e65356d4974d397061367547e84c9cbd62b475c

Observation 863a6505-9826-44c0-ac4b-b88f2f1230f1 · inbound

One-Step Generative Modeling via Wasserstein Gradient Flows cites this paper.

One-Step Generative Modeling via Wasserstein Gradient Flows Variational Wasserstein gradient flow

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:15:47.248577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T22:09:22.474650Z digest=sha256:dbfc51e84a8259251e6b0b309bf83ef2dd684db6baaa4f521229cb03307730cd