Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.14370.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:53:01.810081Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:15:44.016248Z
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 6fe3d31a-5429-48bf-a5de-0b18c5df4f93 · inbound
DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications cites this paper.
DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:53:01.810081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c428ff1-6ce1-460e-a375-bffdb6b7cf07 · inbound
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception cites this paper.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:21:16.532812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3e268f6-1720-4715-824e-ea4841f171b2 · inbound
RESOLVE: A Multi-Resolution and Multi-Modal Dataset for Roadside Cooperative Perception cites this paper.
RESOLVE: A Multi-Resolution and Multi-Modal Dataset for Roadside Cooperative Perception BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:15:44.017695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.