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Paper Citation Record · LEDGER

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2509.05320.

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

pith.paper-citation-record.v1
2509.05320 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:40:03.017481Z

measured 20 of 20 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f7f3449-649e-493d-832b-1d3955696c70 · outbound

This paper cites A survey on the applications of frontier ai, foundation models, and large language models to intelligent trans- portation systems,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks A survey on the applications of frontier ai, foundation models, and large language models to intelligent trans- portation systems,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:54.224900Z

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=2026-08-05T13:40:00.949446Z digest=sha256:70e2f4f2bb018254f7f7c683c5d49b6f69d881699182bf76ae3ef7d3b5d4b9e6

Observation f686100f-865f-4178-9a50-4092e8203172 · outbound

This paper cites Machine learning applications in cr-iov,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Machine learning applications in cr-iov,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:53.958674Z

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=2026-08-05T13:40:01.047899Z digest=sha256:dc7ce5d68cee0e371c16e4df637debb85768a8b219046173616f81f4638402f1

Observation 60ffccf9-de4e-4f88-a131-2ab67e48719b · outbound

This paper cites Large language model in suburban transport data management,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Large language model in suburban transport data management,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:53.832107Z

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=2026-08-05T13:40:01.159950Z digest=sha256:ece2426b06d5540cfd9d66791d4c5003b87e7be873b39bea70d1a0e7e5c67cac

Observation 0a7ddcb7-d931-4e4e-b1cd-e319956c14a7 · outbound

This paper cites Multi-access edge computing: A survey,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Multi-access edge computing: A survey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:07.049245Z

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=2026-08-05T13:40:01.231895Z digest=sha256:346e727b6fd6d69c9fd0d4b3ce63f84346adde3a88db26f67a1283102331f6cc

Observation d8bff8ca-b3af-4ff8-b819-2ac85b61238a · outbound

This paper cites Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:40:03.344415Z

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=2026-08-05T13:40:01.341779Z digest=sha256:32bc32e725f68146bb19299582a9fbe7bf8be3aacca57618de682e41fa8cab3e

Observation b1ac6b87-59db-41a1-88ad-df17bd47e446 · outbound

This paper cites Federated learning in vehicular networks: Opportunities and solutions,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Federated learning in vehicular networks: Opportunities and solutions,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.872571Z

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=2026-08-05T13:40:01.436411Z digest=sha256:de7eaafc99ed47944cf1ccf91707eba88c5c3eee6247be115341e988ab9285c7

Observation f780e8f1-a377-4f00-8543-2e5677dfb5cc · outbound

This paper cites Fedllm-bench: Realistic benchmarks for federated learning of large language models,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Fedllm-bench: Realistic benchmarks for federated learning of large language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.651402Z

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=2026-08-05T13:40:01.538224Z digest=sha256:e2c7f9c1fa612a8c74236b04f7bff12bab462ef131722077071564dcbc737740

Observation 20e920a5-41c8-405f-a060-9fe4cf620fae · outbound

This paper cites Privacy-preserving federated learning in fog computing,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Privacy-preserving federated learning in fog computing,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.337577Z

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=2026-08-05T13:40:01.616921Z digest=sha256:3f3a2cf5fe66fd36f95867dce39fe06844b9789f501b752eeae7e89e8ad7cc26

Observation 466b106f-b37b-4fc0-92f4-3fff53a6e4b6 · outbound

This paper cites Privacy-preserving traffic flow prediction: A federated learning approach,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.045654Z

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=2026-08-05T13:40:01.691607Z digest=sha256:b1c652fd43cdf0fd2f67fcd3736f4b28667e618d25dc4304761cfea21e1e460e

Observation f3dec489-3766-4f24-810e-204a3cfb8039 · outbound

This paper cites Ppfl: Privacy-preserving federated learning with trusted execution environments,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Ppfl: Privacy-preserving federated learning with trusted execution environments,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.837220Z

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=2026-08-05T13:40:01.793348Z digest=sha256:fb9a32ad80e714622ab032f7d18d9e593188a731686ce99cbe892fd0f7c8bcf3

Observation 57fbd173-f421-4f29-aa67-11afd206628f · outbound

This paper cites Federated learning in vehicular networks,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Federated learning in vehicular networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.598630Z

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=2026-08-05T13:40:01.867123Z digest=sha256:565dbea4f7c491297f4d8863af972e220b53da07649191ea5ec647d4085398dd

Observation 0d9dbad8-0398-4160-80cd-b681c3a5d427 · outbound

This paper cites Flexe: Investigating federated learning in connected autonomous vehicle simulations,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Flexe: Investigating federated learning in connected autonomous vehicle simulations,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.185421Z

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=2026-08-05T13:40:01.957277Z digest=sha256:0b8aa8a9c734498c24b96a4a92d4b7e4eee5935a9efa96d4ab7a0b51b43cb70f

Observation 217a0f28-a6a9-4d55-a37b-5e196a0f5ac0 · outbound

This paper cites Blockchain-based federated learning for device failure detection in industrial iot,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Blockchain-based federated learning for device failure detection in industrial iot,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.001459Z

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=2026-08-05T13:40:02.094116Z digest=sha256:7cd98db45c9fee00970a25d8c77b2b6de61c6708cabe3fc59b323f2c410c86b4

Observation 7afa417d-fb19-43ae-91d4-12ed9673267e · outbound

This paper cites When edge meets learning: Adaptive control for resource-constrained distributed machine learning,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks When edge meets learning: Adaptive control for resource-constrained distributed machine learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:04.737271Z

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=2026-08-05T13:40:02.218657Z digest=sha256:87b3dc3ac2a883aee85e58e22f7d873d0cad2fa44c7a4355cf9a62593cf00002

Observation 20bf224a-38d0-4e80-9066-da95bf353584 · outbound

This paper cites Resource allocation in large language model integrated 6g vehicular networks,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Resource allocation in large language model integrated 6g vehicular networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:04.417698Z

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=2026-08-05T13:40:02.331567Z digest=sha256:c5e57baab97a45e261af9618f47f8c5627a19549add413857800b87855219946

Observation 02a8a519-dfaa-4226-ad88-9eccf132ed79 · outbound

This paper cites When large language model agents meet 6g networks: Perception, grounding, and alignment,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks When large language model agents meet 6g networks: Perception, grounding, and alignment,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:04.157421Z

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=2026-08-05T13:40:02.492189Z digest=sha256:23b43aef3782418e63520862fb016a8b228d64b53a546f138e3956dac24c3d24

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

This paper cites Large language models in 6G security: challenges and opportunities.

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.

source=pdf_text observed=2026-08-05T13:40:02.594960Z digest=sha256:9df695cb35c8332fa43727a935f4168d0069e0ea21c334e731cd20e9aa5d8ff7

Observation 25b84527-971d-4eec-91b5-1e00563cbfc1 · outbound

This paper cites Security and privacy for 6g: A survey on prospec- tive technologies and challenges,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Security and privacy for 6g: A survey on prospec- tive technologies and challenges,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:03.928507Z

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=2026-08-05T13:40:02.748135Z digest=sha256:aea8a12a2695f2c85637ff728684cb791294cbe6c98de0e1b0b1e6dcc03834d4

Observation 3c8626de-1789-4720-a5b8-ce62dedeab69 · outbound

This paper cites Quantum-empowered federated learning and 6g wire- less networks for iot security: Concept, challenges and future directions,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Quantum-empowered federated learning and 6g wire- less networks for iot security: Concept, challenges and future directions,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:03.596611Z

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=2026-08-05T13:40:02.878492Z digest=sha256:871e95aa4a259d0b4807b10cf89355c7310ab5978a1a3aff7724165bcf884035

Observation 2a1b1e2c-6461-4fd9-8cf1-5f963e96a70a · outbound

This paper cites A survey on transformers in nlp with focus on efficiency,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks A survey on transformers in nlp with focus on efficiency,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:40:03.017481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:40:03.017481Z digest=sha256:a55069a31501b8283ceefe428cff32abc17cb45a4dd28955a397df5a7ceb9bb2

Pith citing papers

No inbound Pith citation observations are available.