Paper Citation Record · LEDGER

Consistency Regularization for Generative Adversarial Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1910.12027.

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

pith.paper-citation-record.v1
1910.12027 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:44:26.113144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:55.486112Z

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 9c794ac0-4340-4911-96d6-3dfb14e867a9 · inbound

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data cites this paper.

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data Consistency Regularization for Generative Adversarial Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T17:44:26.113144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b920ddb-3658-48f7-af95-444c3919e355 · inbound

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis cites this paper.

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis Consistency Regularization for Generative Adversarial Networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:47.719084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593ee5de-458f-462e-8abf-75d2f60a2904 · inbound

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence cites this paper.

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence Consistency Regularization for Generative Adversarial Networks

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.853960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91bdf6f5-249b-4cec-87c0-9a63a9de8eac · inbound

Balancing Image Compression and Generation with Bootstrapped Tokenization cites this paper.

Balancing Image Compression and Generation with Bootstrapped Tokenization Consistency Regularization for Generative Adversarial Networks

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:46:55.487567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.