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Paper Citation Record · LEDGER

Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.03938.

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

pith.paper-citation-record.v1
2002.03938 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:39.716467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:37:19.441093Z

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 ef8c4884-d6e9-451c-a582-8444ff476d75 · inbound

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods cites this paper.

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.777723Z

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.

source=pdf_text observed=2026-05-22T00:36:47.002107Z digest=sha256:da1e503e5d9a5592094f60efeb271d92a95126c6a9e1331a8ac037ac659bb49c

Observation e4ebf43b-3af1-44c5-9aa8-f0cdd884d42b · inbound

Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion model cites this paper.

Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion model Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:39.716467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:52:39.716467Z digest=sha256:307bd50033a11cefaa253e8f2853fd796738868be4a758a4066f851585d9d423

Observation 7a5731b0-e15b-48dd-aab6-8b6e01f8686b · inbound

Provable Diffusion Posterior Sampling for Bayesian Inversion cites this paper.

Provable Diffusion Posterior Sampling for Bayesian Inversion Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T17:55:12.923105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:55:12.923105Z digest=sha256:d874504a407edf45f1ac5fa622804dfc0fed81836f578ce857ca6b3d99f5fade

Observation e14c6a98-d0d9-4ada-9e09-73875d7ffd5d · inbound

Theoretical Analysis of Engression and Reverse Markov Engression cites this paper.

Theoretical Analysis of Engression and Reverse Markov Engression Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:02:24.250629Z

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.

source=arxiv_source observed=2026-06-28T16:58:54.134360Z digest=sha256:7dd79055b84e5890d69e45b8872e5aaf7f5c592ad8712c72d1a8116f46fc4ffb

Observation 1154f49e-8675-4f5b-b6fb-12b7dce29bf7 · inbound

Testing Equality of Conditional Distributions via Generative Models cites this paper.

Testing Equality of Conditional Distributions via Generative Models Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:37:19.442805Z

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.

source=arxiv_source observed=2026-06-27T21:25:10.038196Z digest=sha256:b676ed9850978cf5aa91701c4d05fa5f76039f1462f6b8939b30102d57933db5

Observation 094a41ff-f6bf-4566-bd75-bd9c76819b65 · inbound

Semi-Supervised Conditional Diffusion via Label Augmentation cites this paper.

Semi-Supervised Conditional Diffusion via Label Augmentation Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T20:21:43.334051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:21:43.334051Z digest=sha256:e33da61872b9540f962e7972eb562bee603f0b67beeaee817ed4fc3c95df295b