Paper Citation Record · LEDGER

Spectral Regularization for Combating Mode Collapse in GANs

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.10999.

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

pith.paper-citation-record.v1
1908.10999 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:32:21.749867Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy9
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 987a33d0-996f-40ce-b6ea-b4c295938538 · outbound

This paper cites Generative adversarial nets,.

Spectral Regularization for Combating Mode Collapse in GANs Generative adversarial nets,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.995488Z

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.

Observation 6e83064b-0df3-421f-bd7f-a6734e509610 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Spectral Regularization for Combating Mode Collapse in GANs Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:21.686823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ca704b4-2fae-41dd-b025-799c8b144485 · outbound

This paper cites Wasserstein GAN.

Spectral Regularization for Combating Mode Collapse in GANs Wasserstein GAN

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:21.691646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba5ef91-07a7-4120-901d-53df46e83502 · outbound

This paper cites Wasserstein Divergence for GANs.

Spectral Regularization for Combating Mode Collapse in GANs Wasserstein Divergence for GANs

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T10:32:21.865109Z

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.

Observation 02e5969a-f157-4956-b6e1-9a406a8de385 · outbound

This paper cites BEGAN: Boundary Equilibrium Generative Adversarial Networks.

Spectral Regularization for Combating Mode Collapse in GANs BEGAN: Boundary Equilibrium Generative Adversarial Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:21.700374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d9999a7-fd5f-4ff9-a902-dfa9fc52f4ca · outbound

This paper cites Least squares generative ad-versarial networks,.

Spectral Regularization for Combating Mode Collapse in GANs Least squares generative ad-versarial networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.983632Z

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.

Observation 6717cff6-8aa1-4bad-b109-dbe31710f1e3 · outbound

This paper cites Large scale gan training for high ﬁdelity natural image synthesis,.

Spectral Regularization for Combating Mode Collapse in GANs Large scale gan training for high ﬁdelity natural image synthesis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.971470Z

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.

Observation 990a6336-037f-4132-9ad8-2f35b24ddfd3 · outbound

This paper cites Improved training of wasser- stein gans,.

Spectral Regularization for Combating Mode Collapse in GANs Improved training of wasser- stein gans,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.956661Z

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.

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

This paper cites Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities.

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.

Observation 28638c4a-31cb-4530-90eb-955f89475b4c · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Spectral Regularization for Combating Mode Collapse in GANs Spectral Normalization for Generative Adversarial Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:21.721338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a887067d-2bc0-4534-96c0-ee84eed58274 · outbound

This paper cites Weight normalization: A simple reparam- eterization to accelerate training of deep neural networks,.

Spectral Regularization for Combating Mode Collapse in GANs Weight normalization: A simple reparam- eterization to accelerate training of deep neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.945128Z

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.

Observation 5f84b6c8-e16f-414d-a1ab-0db5b3a1ad61 · outbound

This paper cites Lectures on lipschitz analysis,.

Spectral Regularization for Combating Mode Collapse in GANs Lectures on lipschitz analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.934222Z

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.

Observation 4eaf787d-0d89-4150-9500-dd59d02cf7f1 · outbound

This paper cites Neural Photo Editing with Introspective Adversarial Networks.

Spectral Regularization for Combating Mode Collapse in GANs Neural Photo Editing with Introspective Adversarial Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:21.731940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2525c5f2-0ea5-4aa0-b97d-b0015588d337 · outbound

This paper cites 80 million tiny images: A large data set for non-parametric object and scene recognition,.

Spectral Regularization for Combating Mode Collapse in GANs 80 million tiny images: A large data set for non-parametric object and scene recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.923672Z

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.

Observation aee3c0be-788b-43d5-8754-468b99b9ca0e · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Spectral Regularization for Combating Mode Collapse in GANs GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:21.738464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c20c94c4-60fe-4f7c-9936-a5a3d2057e05 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Spectral Regularization for Combating Mode Collapse in GANs Imagenet: A large-scale hierarchical image database,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.913365Z

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.

Observation dc2eddad-7549-49fc-a300-e87355d320bc · outbound

This paper cites Jamming and percolation properties of random sequential adsorption with relaxation.

Spectral Regularization for Combating Mode Collapse in GANs Jamming and percolation properties of random sequential adsorption with relaxation

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T10:32:21.787683Z

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.

Observation c445950e-a27a-49c1-b5fd-4356b75fd36d · outbound

This paper cites Improved techniques for training gans,.

Spectral Regularization for Combating Mode Collapse in GANs Improved techniques for training gans,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:32:21.901941Z

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.

Pith citing papers

No inbound Pith citation observations are available.