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Paper Citation Record · LEDGER

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.01219.

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

pith.paper-citation-record.v1
1908.01219 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:24:50.806126Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38ff8cd8-d99e-4c58-a01e-c2ea58261eca · outbound

This paper cites AI2 : Training a big data machine to defend,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks AI2 : Training a big data machine to defend,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-14T15:24:51.504235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f17ed7d0-c634-48e9-b823-9128011b6358 · outbound

This paper cites RNN-based early cyber- attack detection for the tennessee eastman process,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks RNN-based early cyber- attack detection for the tennessee eastman process,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T15:24:51.486042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bcef4634-05a1-4201-b404-9c46910b1e39 · outbound

This paper cites Multivariate industrial time series with cyber-attack simulation: Fault detection using an LSTM-based predictive data model,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Multivariate industrial time series with cyber-attack simulation: Fault detection using an LSTM-based predictive data model,

Reference 3

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raw_fallback, observed 2026-08-14T15:24:51.468699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a201b3fc-312f-41a2-bfd5-a4f66012a672 · outbound

This paper cites Advanced vulnerability analysis and intrusion detection through predictive attack graphs,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Advanced vulnerability analysis and intrusion detection through predictive attack graphs,

Reference 4

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raw_fallback, observed 2026-08-14T15:24:51.452535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 019aa7a1-027f-448a-924a-bca8f6c05a8c · outbound

This paper cites Projecting cyberattacks through variable-length markov models,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Projecting cyberattacks through variable-length markov models,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T15:24:51.436064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d213ae2c-cd4c-44b4-8467-813ff7e076b0 · outbound

This paper cites Generative adversarial nets,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Generative adversarial nets,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ce97b09a-359f-4aa6-a67d-438843f9903a · outbound

This paper cites Wasserstein generative adversarial networks,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Wasserstein generative adversarial networks,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5e170a81-0a07-4763-83e8-ec22c711732c · outbound

This paper cites Improved training of wasserstein gans,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Improved training of wasserstein gans,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 81e0e815-573b-44bd-984b-3618804432c3 · outbound

This paper cites MINE: Mutual Information Neural Estimation.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks MINE: Mutual Information Neural Estimation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8c58b75-b858-44fc-93b7-252303312f1e · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 10

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no resolver link, observed 2026-08-14T15:24:50.729525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cd762596-78d6-4c1a-a507-9dbbb379bf10 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0877c985-7271-44e7-b02b-2223fa15f1ff · outbound

This paper cites Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b8b8a2f2-ebdb-41ca-b79b-66e37fb5a5fd · outbound

This paper cites Dialogue generation with gan,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Dialogue generation with gan,

Reference 13

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raw_fallback, observed 2026-08-14T15:24:51.350529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0249f52a-a057-44ca-8ac7-d5b6fe7c3299 · outbound

This paper cites Musegan: Multi-track sequential generative adversarial networks for symbolic mu- sic generation and accompaniment,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Musegan: Multi-track sequential generative adversarial networks for symbolic mu- sic generation and accompaniment,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-14T15:24:51.335511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7e37cb94-e362-4de5-9c02-1c3d09e58df5 · outbound

This paper cites V oice impersonation using generative adversarial networks,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks V oice impersonation using generative adversarial networks,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-14T15:24:51.316620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:24:50.753465Z digest=sha256:0b2275dd913c9fbaaf7cdd87bddda77790fe087ddc6a6cf05ecd0e5b4d41bb83

Observation 68d1db08-68d4-45be-ae23-c367ab5db0f5 · outbound

This paper cites Bringing a gan to a knife-fight: Adapting malware communication to avoid detection,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Bringing a gan to a knife-fight: Adapting malware communication to avoid detection,

Reference 16

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raw_fallback, observed 2026-08-14T15:24:51.300279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation da9c047a-cd72-431b-b483-519234d9f9ac · outbound

This paper cites IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6944563-e584-4182-b11b-c3ed1d11ca8b · outbound

This paper cites Black-box attacks against RNN based malware detection algorithms,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Black-box attacks against RNN based malware detection algorithms,

Reference 18

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raw_fallback, observed 2026-08-14T15:24:51.281968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aa1ef6b1-96bc-484b-8b73-4a05e8059bf3 · outbound

This paper cites Evading machine learning malware detection,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Evading machine learning malware detection,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:24:50.773645Z digest=sha256:420cb0f53fb16166a850aa2f6a02b6cb8b5401c43715ef9988a772807ca7e0b0

Observation 8cd94cb4-ddee-4447-bf71-388ca2177580 · outbound

This paper cites Differentiating and predicting cyberattack behaviors using lstm,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Differentiating and predicting cyberattack behaviors using lstm,

Reference 20

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raw_fallback, observed 2026-08-14T15:24:51.240890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:24:50.778580Z digest=sha256:2ec3a592210071eca25397bff4a2f7df31ee1c443afb8f172eef1de3e4779557

Observation 4b74e17d-8eae-424f-979f-40878f1613a9 · outbound

This paper cites Tiresias: Predicting security events through deep learning,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Tiresias: Predicting security events through deep learning,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 473c6393-c4b1-4340-9184-8aa7bada20c1 · outbound

This paper cites Deep security: Cyber security threat behavior classification,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Deep security: Cyber security threat behavior classification,

Reference 22

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raw_fallback, observed 2026-08-14T15:24:51.198906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:24:50.791883Z digest=sha256:6bbc5d868a835bcecb1ab54e39dc2b3caec08106ba3db24ea9986cb54d362926

Observation a26307f9-75ef-47e5-bb8c-79bb35f167df · outbound

This paper cites Machine Learning in Cyber-Security - Problems, Challenges and Data Sets.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Machine Learning in Cyber-Security - Problems, Challenges and Data Sets

Reference 23

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no resolver link, observed 2026-08-14T15:24:50.796322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33549ac6-4ef8-4ccb-a8d2-e006fd04bc97 · outbound

This paper cites An improved intrusion detection framework based on artificial neural networks,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks An improved intrusion detection framework based on artificial neural networks,

Reference 24

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raw_fallback, observed 2026-08-14T15:24:51.169221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 123a13f1-a9aa-4d6f-87c5-c724b19fc6fd · outbound

This paper cites Service name and transport protocol port number registry,.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Service name and transport protocol port number registry,

Reference 25

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raw_fallback, observed 2026-08-14T15:24:51.147816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 96f15791-e7ee-40af-be26-1f7176e0b4a3 · outbound

This paper cites Available: http://doi.acm.org/10.1145/3243734.3243811.

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks Available: http://doi.acm.org/10.1145/3243734.3243811

Reference 605

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no resolver link, observed 2026-08-14T15:24:50.787318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:24:50.787318Z digest=sha256:24a361c4a22c51062b177c84588660a765839d5fc2c2fab84206e09d2527c356

Pith citing papers

No inbound Pith citation observations are available.