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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 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:42:05.569147Z

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.

source=arxiv_source observed=2026-05-15T01:08:38.367423Z digest=sha256:4665dd983f53e73adba49a9fd1715bbc668d54efe9fd28e75e9ae2fbee329931

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.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:e99acfca52651f4d37edbed6be930d9153452c7309e6b6372e259019e3828e18

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.

source=pdf_text observed=2026-08-14T11:42:05.569147Z digest=sha256:e5ba1b4eb59afd371b32fd7e0c65e4033dffc3b72fd8302746d207a7c35421b8

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.

source=pdf_text observed=2026-08-11T21:45:03.385355Z digest=sha256:e94a5d05218b78bc6f93dc4777d48ac441daf629609c7a3cf28f476455f41c2b

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.

source=pdf_text observed=2026-08-10T18:30:58.509150Z digest=sha256:628249146f2a6a0ced97327b54b804ee582535da1f18ae15b6d8f5e896523575