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Paper Citation Record · LEDGER

Cyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.14017.

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

pith.paper-citation-record.v1
2502.14017 v4

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:57:53.233934Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:57:55.648754Z

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 cc7b33e0-f990-49b8-bfd9-a99bd3366782 · inbound

Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling cites this paper.

Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling Cyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:57:55.735938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:57:53.233934Z digest=sha256:6a8b7d0eda9d7f799aed4c608267681689d0dfbf242331d822ff3bca8a3b3547

Observation 673dbaa9-3f3f-410f-bc24-6c4160f1556e · inbound

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks cites this paper.

An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks Cyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T17:36:30.042324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:36:30.042324Z digest=sha256:f533dae3a60cfaa78bcf11f39096d1bccb78c394ab20be25b157ea8ad0d454f8