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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:00.949446Z digest=sha256:d6ae9d722e1fc0c7f5ca96596e32c47e6f7d9c780c1139f90f791dacfc11bde7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.047899Z digest=sha256:851f5c1adcc057ca39732dcc3a03c60ff3237534dc396121cb215c8c53d5875c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.159950Z digest=sha256:4eb471bb7d7e311dd192a42dee3abbc46d8d4a4f532863457bb0ae468f79e241

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.231895Z digest=sha256:198fc186df1911fa6e5f39fa5f810269d11443ab47e1ab4ae9aa7f9e28889fa5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.341779Z digest=sha256:d7183e6a66bcdedd981ef57a052950936a289530749825190c33fdcd99d61830

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.436411Z digest=sha256:c7277f602fd0c7f3cca1f0893996de5e9f78fc2b7daf2b7e13e8e33d0bd7d7f6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.538224Z digest=sha256:12a226f9dbf97265f4f4b4feb94a5597cce46715016fd9584a368c55c524a0b3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.616921Z digest=sha256:a22e356930994b46ccb8fa66124b9348964a06fdc39fae3ce9b16fd031827e9a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.691607Z digest=sha256:1e5005c5d894b30a61714575683b07d37a63ee0881151d5f9f99f9bb33711060

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.793348Z digest=sha256:18e2eb8fe35d1591d4ba828d7e559b7632bd8953f492373f4f413cb622efa8a6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.867123Z digest=sha256:d9ec435ee65914c6bb6e262c6d6a0d74ccf99dd83494777e186ab2ad17f29072

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:01.957277Z digest=sha256:ef79895ea50c93d9ff20c870dba6cc70d668016aa5ed9b22ceb1887a3ddaa432

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:02.094116Z digest=sha256:cd07a37c20a9f4b9caf8b9ef1ee5e20ae8875b3cc0260838f3a5b676c460ef2c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:02.218657Z digest=sha256:a441bb251010a27b53ddf55f4bbfb02081a7d5f74517c51e0df0162184be9865

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:02.331567Z digest=sha256:c44176f4d62c931ea080af18fde1ab1f168c661186dfe32355280c05767c50dc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:02.492189Z digest=sha256:83063cefdb09fb4150a405d0dc7b88237c58d909f0ecdb4f50b787ac5e3ae03b

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:c1315f52a3a6e00c6d12f293444a092964b37b64ed849a4d2b31bf57087eb148

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:02.748135Z digest=sha256:a68e2720adaf9046f2aeb3768bf524252cdc0d9108c7827974f4cb189a504366

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T13:40:02.878492Z digest=sha256:52a5321ae5403ed5053e63a472e8e6aa086035dfc7ac8d786c4d4c64bd1ef152

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:a4ace55093366ab7895a238851166a9395884b02cbc9d4be5f7aeb9a6d71a682

Pith citing papers

No inbound Pith citation observations are available.