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Paper Citation Record · LEDGER

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1703.05192.

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

pith.paper-citation-record.v1
1703.05192 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:57:25.860336Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T01:25:10.915835Z

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 730139ec-42b6-463d-96ee-158adb92d8b9 · inbound

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching cites this paper.

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:25:10.918476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T01:20:26.260111Z digest=sha256:021c1562923222af9b7a206436eddc8ea0ff0c84c80835f52c66c5731130d5c5

Observation 8f9657ef-bda2-4c0a-9d03-dacc48d65c25 · inbound

Co-Evolutionary Compression for Unpaired Image Translation cites this paper.

Co-Evolutionary Compression for Unpaired Image Translation Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-24T16:49:41.807233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T16:46:17.296244Z digest=sha256:01598779c0c722b573b33724a953e02927f91fdcb6ebda986fba38167cd1491b

Observation 0b856dda-68e7-4b05-9b7c-f6e0428215f4 · inbound

TunaGAN: Interpretable GAN for Smart Editing cites this paper.

TunaGAN: Interpretable GAN for Smart Editing Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T12:57:25.860336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:57:25.860336Z digest=sha256:f027ff00ad158b85979fedc0671dea0efcf32c743c93d7821caab3f65a244823

Observation e6ccd136-e618-4610-8c04-caab3490538b · inbound

Domain Intersection and Domain Difference cites this paper.

Domain Intersection and Domain Difference Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T10:16:08.140478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:16:08.140478Z digest=sha256:3869aea04067a98221b1e6f8cd8bbe0e05517033bd209ce91253923cfa7c1e67