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Paper Citation Record · LEDGER

Pseudo-labeling for Scalable 3D Object Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.02093.

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

pith.paper-citation-record.v1
2103.02093 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:58.925089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:01:20.399867Z

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 b45851f3-6ca6-40ab-85d7-47d21fe4bf95 · inbound

ZeroVO: Visual Odometry with Minimal Assumptions cites this paper.

ZeroVO: Visual Odometry with Minimal Assumptions Pseudo-labeling for Scalable 3D Object Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:58.925089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:58.925089Z digest=sha256:d76c2a3f58dc27b207b0d48c813d7070202a3c0767a10d123bed71c3687bc730

Observation 7b6af2b4-c766-43f4-9db9-b23974293fbf · inbound

Improving 3D Labeling in Self-Driving by Inferring Vehicle Information using Vision Language Models cites this paper.

Improving 3D Labeling in Self-Driving by Inferring Vehicle Information using Vision Language Models Pseudo-labeling for Scalable 3D Object Detection

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:20.403188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T08:57:10.760801Z digest=sha256:e950f1cae151812c4514c5d9ec273b7c4e56e1c797faef8a08998e8fbb15f955