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Paper Citation Record · LEDGER

Detecting and Simulating Artifacts in GAN Fake Images

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.06515.

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

pith.paper-citation-record.v1
1907.06515 v2

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 2026-05-17T23:25:47.549655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:25:47.762528Z

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 863ccad3-1199-4351-9f88-ec3db7040461 · inbound

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection cites this paper.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Detecting and Simulating Artifacts in GAN Fake Images

Reference 240

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.764771Z

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=2026-05-17T23:25:47.549655Z digest=sha256:8ea0913ee115a5ada5387f4296745ca7ccbecdf1b8a6cb5fdb5518dba8ae2134

Observation 2f7e2977-55cb-4539-82df-a645bf368700 · inbound

Boosting Robust AIGI Detection with LoRA-based Pairwise Training cites this paper.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Detecting and Simulating Artifacts in GAN Fake Images

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.784164Z

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=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c13567a1c2aa1687f3b0aabf8c7a49fcce1ef82c688cf856d90c044630182c7c