Paper Citation Record · LEDGER

Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.01678.

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

pith.paper-citation-record.v1
2103.01678 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:11.384486Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:20:55.692350Z

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 a6586100-e803-426f-8b1a-1b6e479c37dc · inbound

Data-driven approaches to inverse problems cites this paper.

Data-driven approaches to inverse problems Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:11.384486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3cc27d0-9489-408e-b73c-a769dbd25884 · inbound

Learning to Emulate Chaos: Adversarial Optimal Transport Regularization cites this paper.

Learning to Emulate Chaos: Adversarial Optimal Transport Regularization Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:54:16.451994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5145b49a-820f-4e8f-8171-c53b79a77548 · inbound

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context cites this paper.

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:20:55.695073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f11c10d-c6ab-497e-8a20-ec7ccb39b06d · inbound

Distributional Determinantal Point Process for Repulsive Clustering of Distributions cites this paper.

Distributional Determinantal Point Process for Repulsive Clustering of Distributions Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-01T06:40:09.290581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.