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Paper Citation Record · LEDGER

3D Object Detection for Autonomous Driving: A Comprehensive Survey

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.09474.

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

pith.paper-citation-record.v1
2206.09474 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:12:37.886806Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T00:38:31.102423Z

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 bf3943d4-6778-4560-bf31-0720fa44d17e · inbound

LightOcc: Lightweight Spatial Embedding for Efficient Vision-based 3D Occupancy Prediction cites this paper.

LightOcc: Lightweight Spatial Embedding for Efficient Vision-based 3D Occupancy Prediction 3D Object Detection for Autonomous Driving: A Comprehensive Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T20:12:37.886806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:12:37.886806Z digest=sha256:c8a9706c151e9e15a0eb24e80ab0884d562d22739bc28c5f7becd600c99f6682

Observation 0779ee77-d46d-4e1f-91d9-5a05fb147c42 · inbound

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression cites this paper.

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression 3D Object Detection for Autonomous Driving: A Comprehensive Survey

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:38:31.182911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T00:38:24.999849Z digest=sha256:7826e974b4d33afc3da84413fe73481563ecae83625ee3940e0c07ba20623ae2