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Paper Citation Record · LEDGER

5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.01298.

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

pith.paper-citation-record.v1
2212.01298 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:46.065955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:39:03.401287Z

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 795a9c11-251a-4c87-9976-d614476bc54a · inbound

Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond cites this paper.

Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:46.065955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:46.065955Z digest=sha256:e5897a2d31d57a643d8623ca82fbd437c146738d8e2731809b1349a3c544e0e2

Observation f1dfed22-af83-4412-97d9-835a436747f6 · inbound

PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing cites this paper.

PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:15.928472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:15.928472Z digest=sha256:07bcf9dd8abe89625c612ea3d903239e7854db7a800685fa3b39f261961c00de

Observation fed94e58-13b9-473d-949f-7b4061dff296 · inbound

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks cites this paper.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:59.378810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:b9f59663b762ad08eb531d1bd867b8f6fe6e13c1c59b61ac5f13d86c9ae3e407

Observation e939cae7-e2c2-49c4-8f00-af38d1b3f37f · inbound

UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks cites this paper.

UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:39:03.404212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T22:02:17.684627Z digest=sha256:e4017056bbe5912055030c2b7e24195540f6f3711d6572fef4a4f7aa710c0570