Paper Citation Record · LEDGER

Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.11514.

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

pith.paper-citation-record.v1
2504.11514 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:33.889809Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:46:11.083618Z

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 a2516f92-ce54-4fe1-beec-ce23fcc6b10b · inbound

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning cites this paper.

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:33.889809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9327af28-9155-47dd-bfd3-ecd6d0970fad · inbound

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding cites this paper.

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:35:01.258244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8cbdf34-1a46-41c8-9e3c-5886e2578054 · inbound

When control meets large language models: From words to dynamics cites this paper.

When control meets large language models: From words to dynamics Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:54:13.014445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d9115b0-71fb-4b69-b17d-1e4fcaea2eb8 · inbound

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration cites this paper.

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:01.291572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5f48cc9-cd75-4f72-ae09-ea70cfac62bb · inbound

Before Parc Ferm\'e: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving cites this paper.

Before Parc Ferm\'e: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:11.084872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0a75887-6789-4e5c-8983-0621d4697a0d · inbound

LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation cites this paper.

LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:23:54.295148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.