Paper Citation Record · LEDGER

BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.14370.

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

pith.paper-citation-record.v1
2105.14370 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:30:58.928991Z

measured 0 of 1 external citation measurements

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 a5b89110-7b2f-4de6-ab18-4bbee543d19f · inbound

Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey cites this paper.

Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:58.928991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.