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Paper Citation Record · LEDGER

Dirty and Clean-Label attack detection using GAN discriminators

As of 7 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2506.01224.

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

pith.paper-citation-record.v1
2506.01224 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:21.856613Z

measured 3 of 3 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f1e22c0-0d9f-492f-94a8-fc8f9ec82b18 · outbound

This paper cites A Survey on GANs for Anomaly Detection.

Dirty and Clean-Label attack detection using GAN discriminators A Survey on GANs for Anomaly Detection

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:21.790088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:21.790088Z digest=sha256:39d204bde393e3676091f9bab94a8efba972b1fd97f4409700af252e66e04d39

Observation 8b71d821-9ba1-4493-b0f4-9436d73b1450 · outbound

This paper cites https://github.com/nisharaichur/Fast-Gradient-Signed-Method-FGSM Zhao, B., & Lao, Y.

Dirty and Clean-Label attack detection using GAN discriminators https://github.com/nisharaichur/Fast-Gradient-Signed-Method-FGSM Zhao, B., & Lao, Y

Reference 2020

Resolution
verified exact
doi, observed 2026-08-07T11:51:21.970300Z

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=2026-08-07T11:51:21.856613Z digest=sha256:c255d4627421617eb834fd4be8cb7bd9c9960f289b51773619872937a0a77a32

Observation b5f51c70-e8e5-4725-808a-609f12ed9ddf · outbound

This paper cites A safe social platform for everyone. Create beautiful pixel art, share, collaborate, shop and more!.

Dirty and Clean-Label attack detection using GAN discriminators A safe social platform for everyone. Create beautiful pixel art, share, collaborate, shop and more!

Reference 2022

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:51:21.819063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:21.819063Z digest=sha256:67eedd71883aa6d84e87c8b9f17c8d999f9c46f68c48ad54d0232c262cdfae52

Pith citing papers

No inbound Pith citation observations are available.