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Paper Citation Record · LEDGER

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.04881.

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

pith.paper-citation-record.v1
1802.04881 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:50:06.125727Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:19:45.425782Z

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 9e2fc1c0-aca1-4d5d-812d-7e96da9921c2 · inbound

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection cites this paper.

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:50:06.125727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:06.125727Z digest=sha256:2ec98d22019440821cced7ed6a13ba106f54c929bfa8beb2e5c40e3f0c8608d1

Observation d451b918-291f-4577-93d6-db1f9f936ed5 · inbound

Towards a satellite image manipulation and deepfake localization benchmark dataset cites this paper.

Towards a satellite image manipulation and deepfake localization benchmark dataset Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:19:45.429445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:19:45.359666Z digest=sha256:616b0d3797971371c6b5af2e073dfcaa95cad532fff7fe2f52481d3ba7e318a9