Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.13505.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:53:01.738022Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:34:00.281041Z
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 87f4ea34-8615-465d-a19c-3d8d79a50c58 · 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 Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:53:01.738022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2cf28e2-c3cd-488e-bed4-96bdac256ca3 · 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 Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:10:33.250413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37af8eaf-96e7-4ff3-8a2e-baf217608d98 · inbound
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis cites this paper.
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:34:00.330672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.