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Paper Citation Record · LEDGER

The Numerics of GANs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.10461.

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

pith.paper-citation-record.v1
1705.10461 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:36:29.266656Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:30:58.636258Z

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 46abc7e7-902e-4b15-88af-24351845540a · inbound

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs cites this paper.

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs The Numerics of GANs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T18:36:29.266656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:36:29.266656Z digest=sha256:8c288e4d8e14d4cd3e34eff176ada43617419d165d95fb08e28ff00160edb3f6

Observation cd874062-d76e-451a-acee-e225d4d85bc4 · inbound

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

Nested Annealed Training Scheme for Generative Adversarial Networks The Numerics of GANs

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:30:58.641141Z

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=2026-08-10T18:30:58.597729Z digest=sha256:f021ecd2e19b3ba2fe93ef2ab9a8fcff6a3505b34926633a09a77c6979d594a3