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Paper Citation Record · LEDGER

Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.03315.

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

pith.paper-citation-record.v1
2112.03315 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:44:28.459292Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:44:29.606364Z

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 e34fca80-9ae7-42c3-8b97-f9111be961ca · inbound

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures cites this paper.

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:44:29.613474Z

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=2026-08-11T12:44:28.459292Z digest=sha256:23b0ebeac1a34da19f7d61e5218dcd4741b9057fe08db5c7ebf52404669e6071

Observation f2fbc69e-a8d7-4e83-b2c0-d73d2fdef61a · inbound

A Multi-Model Hybrid Defense Approach Against White-box Adversarial Attacks in Computer Network Traffic cites this paper.

A Multi-Model Hybrid Defense Approach Against White-box Adversarial Attacks in Computer Network Traffic Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T19:07:07.754225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:07:07.754225Z digest=sha256:7618a1b347eb53a0bbf454a358368b3f7eaac1857ab68e973e6872fdb303bcca