Paper Citation Record · LEDGER

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1907.10830.

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

pith.paper-citation-record.v1
1907.10830 v4

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:26:03.917447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:44:21.535905Z

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 7db2bed8-94a6-4cdf-ab3d-37082e52695e · inbound

Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review cites this paper.

Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T11:26:03.917447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35309428-74dc-4bd9-9c8e-fb8019dfde81 · inbound

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions cites this paper.

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:44:55.242139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2dd60b6e-373f-4ed4-93e7-547c1d5e360c · inbound

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision cites this paper.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:21:24.705516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049a33a8-d9b1-4478-a662-f5b0284448a8 · inbound

FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On cites this paper.

FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:44:21.537377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.