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Paper Citation Record · LEDGER

Generative Adversarial Networks for Malware Detection: a Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.08558.

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

pith.paper-citation-record.v1
2302.08558 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:18.015352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:30:11.374097Z

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 546d1fa2-505e-45b0-aefb-c735ab8cc9c7 · inbound

Mal-D2GAN: Double-Detector based GAN for Malware Generation cites this paper.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Generative Adversarial Networks for Malware Detection: a Survey

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:30:11.433545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:30:10.915899Z digest=sha256:7d0f5d588fab251caac8dec3a1be0b371e31270c396cfad8b8046ffeaf080fe6

Observation af61a9e8-f077-4af7-b811-7cf9f8dd8b51 · inbound

Deep generative models as the probability transformation functions cites this paper.

Deep generative models as the probability transformation functions Generative Adversarial Networks for Malware Detection: a Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T19:15:18.015352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:15:18.015352Z digest=sha256:f6dc987f1842669252871eb880862a92024634a4376e07c4fa317b73cd99b098