Paper Citation Record · LEDGER

Large language models in 6G security: challenges and opportunities

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.12239.

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

pith.paper-citation-record.v1
2403.12239 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:59.360070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:43:37.814533Z

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 7d3c510a-b3be-467b-967a-75a1e28d21fb · inbound

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization cites this paper.

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization Large language models in 6G security: challenges and opportunities

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:30.138762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 947f3a6a-5404-4d30-a24c-78a6c326b5a7 · inbound

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks Large language models in 6G security: challenges and opportunities

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:59.360070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c0d3fc5-031b-4e20-ae7b-c323452f1099 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large language models in 6G security: challenges and opportunities

Reference 179

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:00.509424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfa32e5-6e8b-47a8-af38-82dc77f9228e · inbound

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management cites this paper.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Large language models in 6G security: challenges and opportunities

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:20.278378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d9d21b-003a-4091-9a43-7509370929df · inbound

Agentic AI in 6G Software Businesses: A Layered Maturity Model cites this paper.

Agentic AI in 6G Software Businesses: A Layered Maturity Model Large language models in 6G security: challenges and opportunities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:18.165050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e40fca1-0009-4d32-862a-4aca4bd69330 · inbound

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks cites this paper.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Large language models in 6G security: challenges and opportunities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T13:40:02.594960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed7ff2f-3545-44e2-8a91-09fd71cee433 · inbound

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance cites this paper.

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance Large language models in 6G security: challenges and opportunities

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:43:37.816698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c47ad20-d5df-41a7-b7c4-a93826fca68a · inbound

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage cites this paper.

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage Large language models in 6G security: challenges and opportunities

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:03:25.256025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.