Paper Citation Record · LEDGER

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.02239.

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

pith.paper-citation-record.v1
2503.02239 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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:58.782510Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:44:48.390924Z

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 fdeb80c1-c087-4f78-96a9-eecd54ca2e22 · inbound

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration cites this paper.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:58.782510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06f0c78-bd94-4847-9b12-66e66f3c07fe · inbound

Automated Vehicles Should be Connected with Natural Language cites this paper.

Automated Vehicles Should be Connected with Natural Language V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.281694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49ece65-1722-4351-8638-c098268b567a · inbound

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition cites this paper.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:05.748281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e594b4db-02eb-4af6-b99b-62a1a9cdfd6b · inbound

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance cites this paper.

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:51.170051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb2a17f-e19a-4415-b2bb-e6b2d123a21c · inbound

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning cites this paper.

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T21:38:37.329665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9552930-1c15-4c89-9f3f-2ff8f7512084 · inbound

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models cites this paper.

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:00:59.777552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f68696fe-9f66-4b4e-8a92-41c5bacaec28 · inbound

LACO: Adaptive Latent Communication for Collaborative Driving cites this paper.

LACO: Adaptive Latent Communication for Collaborative Driving V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:21:10.053481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 530f2969-2326-4b83-b078-6293727be21e · inbound

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving cites this paper.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.392680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.