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Paper Citation Record · LEDGER

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.19016.

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

pith.paper-citation-record.v1
2403.19016 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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:03.735992Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:37:06.544040Z

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 01cd9dab-518c-438f-8e77-076f2480bfad · inbound

Deploying Foundation Model Powered Agent Services: A Survey cites this paper.

Deploying Foundation Model Powered Agent Services: A Survey Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T13:09:45.300538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:09:45.300538Z digest=sha256:4a66073f7dc0ff7a1a92be53c001ee7bed626992bff31a197aed30be7676c0cf

Observation 7bfd5999-a46b-4ea1-99c3-d6cedcc34a61 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Reference 239

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:32.495902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:32.495902Z digest=sha256:27d7a532180f4256a249a8d734036c7bc7086ce61b59315068878337e1510b21

Observation ecbfe33b-b570-42ec-af70-bca8da04e43a · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Reference 171

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:37:06.549456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:37:04.867896Z digest=sha256:92010bcae574d531b413760a98d804381f5cfe475989f736c706a5babcd9d6aa

Observation e68b96a2-957b-4dbb-914a-7d7576e4d062 · inbound

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks cites this paper.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.735992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.735992Z digest=sha256:cffac0d02c592c10851f33a481410424c9ed1b5ac9b17272d5a28692bc89dc66