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Paper Citation Record · LEDGER

GP-GAN: Towards Realistic High-Resolution Image Blending

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1703.07195.

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

pith.paper-citation-record.v1
1703.07195 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:35:23.935125Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:19:45.873889Z

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 17ae7c1d-ea98-4c51-9236-c54e1d6a87bc · inbound

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? cites this paper.

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? GP-GAN: Towards Realistic High-Resolution Image Blending

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:23.935125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:35:23.935125Z digest=sha256:a82098717c959d9b7fe33ad723b8fbaa02ceec253185209e53b9fff36b3edc03

Observation aa3d97e5-564b-4f0f-8714-c63c28b8a748 · inbound

Are Candidate Models Really Needed for Active Learning? cites this paper.

Are Candidate Models Really Needed for Active Learning? GP-GAN: Towards Realistic High-Resolution Image Blending

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:45.877373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T05:18:49.394115Z digest=sha256:dc7086cda49ed34c3753f0cd9c6bcb464be830d847a02d6819623885ae5d82d5