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Paper Citation Record · LEDGER

Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1701.06264.

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

pith.paper-citation-record.v1
1701.06264 v6

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:12:52.231815Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:32:21.832175Z

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 dc1fccc3-a93a-485f-ac02-23c1840155b6 · inbound

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection cites this paper.

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T12:12:52.231815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:12:52.231815Z digest=sha256:8f03a0154d6f0c82e486ad19514ddf52ba3471bf6e0d71d841f9933dd68b29a0

Observation 8f9b7e45-ba99-4fec-ba0e-41081e236ce4 · inbound

Spectral Regularization for Combating Mode Collapse in GANs cites this paper.

Spectral Regularization for Combating Mode Collapse in GANs Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:32:21.836424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:32:21.717344Z digest=sha256:34abddea54ed72ef56e37ce600965ff0397250ef4ee2df3091a8ad32dc0352eb