Paper Citation Record · LEDGER

V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.16034.

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

pith.paper-citation-record.v1
2403.16034 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:36:24.201643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:56:44.529680Z

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 49382711-91bf-4c88-9a7d-ab1bb526f76b · inbound

WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving cites this paper.

WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:13.555967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c515cc3c-ffc8-42f9-83ce-1f3d81e2acfc · inbound

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction cites this paper.

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:47.779450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0354f4fe-dfb7-4fd0-af08-f9eeebf2119f · inbound

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations cites this paper.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:37.035176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ecb9da7-c791-4b34-87df-d0abf5f82efb · inbound

The Role of Integrity Monitoring in Connected and Automated Vehicles: Current State-of-Practice and Future Directions cites this paper.

The Role of Integrity Monitoring in Connected and Automated Vehicles: Current State-of-Practice and Future Directions V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 117

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:33.573657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f64e344-5865-46b8-b073-d16f4b5370e6 · inbound

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene cites this paper.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:09.216571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8768933d-ae3d-4743-8b9f-4fbf653b3017 · inbound

CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction cites this paper.

CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:36:24.201643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9191062-f8b5-46bf-974c-3e3438fea357 · inbound

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF cites this paper.

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T06:04:18.690887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62d0305-4d5d-4852-9681-a89891b6c039 · inbound

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception cites this paper.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.997015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7776e05b-60bd-4a61-b224-57fe99d0c031 · inbound

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios cites this paper.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:30:27.595144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb75b074-0d9e-4998-9bb2-2930ac2ace45 · inbound

Class-Adaptive Cooperative Perception for Multi-Class LiDAR-based 3D Object Detection in V2X Systems cites this paper.

Class-Adaptive Cooperative Perception for Multi-Class LiDAR-based 3D Object Detection in V2X Systems V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:03.851295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 710cbcb9-b5b1-43ee-897b-c8c6dffdbea3 · inbound

INTACT: Ego-Guided Typed Sparse Evidence Retrieval for Heterogeneous Collaborative Perception cites this paper.

INTACT: Ego-Guided Typed Sparse Evidence Retrieval for Heterogeneous Collaborative Perception V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:56:44.531490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.