Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.08402.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:58.698111Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:00:48.042143Z
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 da888c37-f834-4852-a828-bf355f874df4 · inbound
AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration cites this paper.
AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:58.698111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83e6a245-4240-46a8-8984-7d21eeebcac0 · inbound
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising cites this paper.
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:57:32.070268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7731733e-b760-4810-a458-13b9a1c09e76 · inbound
Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.
Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 160
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:35:39.632546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a8b27a7-7ece-4191-a1cc-40e73e67d6b2 · inbound
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:06:49.421753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 590faae7-1066-428a-a0c4-8e0089d1bbe7 · inbound
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:00:48.044897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.