Paper Citation Record · LEDGER

Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.00132.

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

pith.paper-citation-record.v1
2204.00132 v2

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:53:01.829748Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:27:32.073894Z

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 c58ddf28-e261-4002-8c66-f8bba0d3c6ed · 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 Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T04:53:01.829748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff44083b-2914-4469-b5e7-e8f2b3cc8a92 · inbound

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors cites this paper.

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T19:11:16.863821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df4e42a-9adc-4dde-a74d-8481eb950a2f · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:45.085562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e217c7-ad77-4dce-94b0-19efa0d2eece · inbound

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset cites this paper.

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:27:32.122091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.