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Paper Citation Record · LEDGER

Unifying Voxel-based Representation with Transformer for 3D Object Detection

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.00630.

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

pith.paper-citation-record.v1
2206.00630 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:51:22.293807Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 9e237859-e26e-4caa-b925-705f9fb267ab · inbound

RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion cites this paper.

RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion Unifying Voxel-based Representation with Transformer for 3D Object Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T13:51:22.293807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:51:22.293807Z digest=sha256:ec172eace9722a27bd6fb91bd9e4b93489864ad8e8bfd2fa5c9ac26fce981f5a

Observation fdbd10fa-f57d-4ce7-9660-00a7a4ab135c · inbound

CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection cites this paper.

CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection Unifying Voxel-based Representation with Transformer for 3D Object Detection

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:04:44.804750Z

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.

source=pdf_text observed=2026-08-10T21:04:43.934834Z digest=sha256:5c4a449b7f3cbc077e7e55c630313aff076ef997873553ca02e561903c92993c