Paper Citation Record · LEDGER

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1710.08446.

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

pith.paper-citation-record.v1
1710.08446 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 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:42:13.628783Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T01:15:10.160867Z

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 a567cd9f-c8b8-4306-82d9-ef114839d7cf · inbound

Demystifying MMD GANs cites this paper.

Demystifying MMD GANs Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:08:38.403576Z

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 0d7898a4-7e0e-409f-b7a3-bf7915589885 · inbound

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks cites this paper.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:15:10.164131Z

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 e5ef624b-e7c0-46ae-b112-2785c89225a4 · inbound

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation cites this paper.

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:42:13.628783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7f01b0-bce0-486f-875c-e146608cdc0c · inbound

Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement cites this paper.

Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:05.569147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30faa8c-e9fb-49ce-994e-422b7f10f28f · inbound

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity cites this paper.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T21:45:03.385355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30452ff1-8570-4682-ad94-e5a76c3b3e7c · inbound

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

Nested Annealed Training Scheme for Generative Adversarial Networks Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:58.509150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.