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Paper Citation Record · LEDGER

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.06310.

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

pith.paper-citation-record.v1
1906.06310 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:00:44.734768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:12:38.891440Z

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 6643c14d-3862-45d0-8bcf-d4cc3bf8bc65 · inbound

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation cites this paper.

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:12:38.894254Z

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=2026-05-23T06:08:14.988386Z digest=sha256:be69a9381346c201bc6746886f7f9f7a4db9241430adec59ab70e233cac8948d

Observation 29f1dc64-b8b3-475b-be69-e76ad7950abe · 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 Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-06T15:00:44.734768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:44.734768Z digest=sha256:5a819042770705bd049e3331a2990ecdf02d7ea1d5b4d97c4a333979aad9563a

Observation 5456cbda-5ecd-4159-9980-321f15be01a8 · inbound

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:53.461755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:06:53.461755Z digest=sha256:28fce21635296232a3395a464cd13dd0734b315bba4d276619690389dd577b23