Paper Citation Record · LEDGER

Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.11002.

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

pith.paper-citation-record.v1
2405.11002 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:41.060190Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:30:52.979785Z

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 db17b326-78a7-41ed-9c0f-6a45b4fec19f · inbound

Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection cites this paper.

Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:41.060190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa863d05-8033-4a60-acfb-54d880f56526 · inbound

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions cites this paper.

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:20.947913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88967eb8-ade2-42c1-832f-f9e97d5d68bd · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:27.820893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9b9624-3fea-463e-88c6-0d5f8d525ee1 · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection

Reference 233

Resolution: unresolved; no resolver link, observed 2026-08-04T17:32:21.498132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c7ad31-cdd2-4f9a-a980-54f5ce7125ee · inbound

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library cites this paper.

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:52.983168Z

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.