Paper Citation Record · LEDGER

Mal-D2GAN: Double-Detector based GAN for Malware Generation

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.18806.

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

pith.paper-citation-record.v1
2505.18806 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:11.083809Z

measured 21 of 21 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

21 of 21 outbound references displayed

verified exact2
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a112962a-8e7c-4c6f-b045-3c20efba9f63 · outbound

This paper cites Ray, Cybersecurity for Connected Medical Devices.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Ray, Cybersecurity for Connected Medical Devices

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:14.044781Z

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.

Observation 27d3f2ba-10d9-45f6-9579-4020da430686 · outbound

This paper cites The pipeline process of signature-based and behavior-based malware detection,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation The pipeline process of signature-based and behavior-based malware detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:13.873596Z

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.

Observation c9cace27-da0c-42ea-8cfb-152abaecd46c · outbound

This paper cites an unresolved cited work.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:30:13.683230Z

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.

Observation 784504ef-0718-4e4b-b8db-06f0ae7ef58b · outbound

This paper cites Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:09.830867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e5110e-46b9-4238-9efe-87439e89cbe2 · outbound

This paper cites Generative adversarial nets,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Generative adversarial nets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:13.544414Z

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.

Observation 21b1f8f9-b91f-4db4-8fb8-a228c1c84105 · outbound

This paper cites The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey.

Mal-D2GAN: Double-Detector based GAN for Malware Generation The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:09.990431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b269fa-71cf-46e9-8739-2bc0fdf40756 · outbound

This paper cites Generating adversarial malware examples for black-box attacks based on gan,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Generating adversarial malware examples for black-box attacks based on gan,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:13.353424Z

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.

Observation 32e5edc1-30c6-46c7-abbd-c40373579b8b · outbound

This paper cites Mal- lsgan: An effective adversarial malware example generation model,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Mal- lsgan: An effective adversarial malware example generation model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:13.213969Z

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.

Observation 4de19580-001c-4411-a62f-e6ae80362750 · outbound

This paper cites LSGAN- AT: enhancing malware detector robustness against adversarial examples,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation LSGAN- AT: enhancing malware detector robustness against adversarial examples,

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T14:30:11.261073Z

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.

Observation 0100cf1c-0fe1-43c9-8927-90fb3f83a320 · outbound

This paper cites Least squares generative adversarial networks,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Least squares generative adversarial networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:13.066635Z

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.

Observation 3d378e82-f2d8-4418-be3d-43ee8c442dd2 · outbound

This paper cites Aagan: Android malware generation system based on generative adversarial network,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Aagan: Android malware generation system based on generative adversarial network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:12.948156Z

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.

Observation 887f2fb6-7a9a-4b53-a803-1030f0cc068a · outbound

This paper cites Generative Adversarial Networks: An Overview.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Generative Adversarial Networks: An Overview

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:10.420988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0714ab-9bc5-4f1f-a9e3-fd19e76bddbd · outbound

This paper cites Adversarial attacks on mobile malware detec- tion,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Adversarial attacks on mobile malware detec- tion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:12.783280Z

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.

Observation 436c0b7e-722b-426c-8f4d-09cba46a5baa · outbound

This paper cites Unsupervised representation learning with deep con- volutional generative adversarial networks,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Unsupervised representation learning with deep con- volutional generative adversarial networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:12.610250Z

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.

Observation 61f095a4-a3ff-4ba9-a84e-d04917b21fac · outbound

This paper cites Virusshare.com - because sharing is caring,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Virusshare.com - because sharing is caring,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:12.449226Z

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.

Observation 3ec65ae5-4534-4166-bbae-dfebe33414e3 · outbound

This paper cites Cuckoo sandbox - automated malware analysis,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Cuckoo sandbox - automated malware analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:12.281444Z

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.

Observation 6081eb2a-ab76-4901-926d-d960a600577e · outbound

This paper cites Anaconda,.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Anaconda,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:12.107749Z

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.

Observation 2c051029-5f4b-4157-b81b-75016a00cfba · outbound

This paper cites Foster, Generative Deep Learning.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Foster, Generative Deep Learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:11.942817Z

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.

Observation 546d1fa2-505e-45b0-aefb-c735ab8cc9c7 · outbound

This paper cites Generative Adversarial Networks for Malware Detection: a Survey.

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

Observation bbcc6cc2-60e8-4c0b-8779-b1b5eaf86687 · outbound

This paper cites Alazab, Deep Learning Applications for Cyber Security.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Alazab, Deep Learning Applications for Cyber Security

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:11.781532Z

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.

Observation 6660daaa-e677-4074-b953-7805d82bddc0 · outbound

This paper cites an unresolved cited work.

Mal-D2GAN: Double-Detector based GAN for Malware Generation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:30:11.620918Z

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.

Pith citing papers

No inbound Pith citation observations are available.