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Paper Citation Record · LEDGER

MonoDETR: Depth-guided Transformer for Monocular 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:2203.13310.

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

pith.paper-citation-record.v1
2203.13310 v5

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 2026-08-10T23:12:40.441420Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T23:07:42.418218Z

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 58c57443-de56-4435-a86d-7c2ca97b535e · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection

Reference 207

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:07:42.422236Z

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=arxiv_source observed=2026-05-14T23:07:42.245641Z digest=sha256:f5dafec1253d5ee27014260a8020aeda116ea37b8bbd28a41300798c40ae6585

Observation 31328708-539e-49df-bcc1-0de1885c28b2 · inbound

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation cites this paper.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.441420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.441420Z digest=sha256:b614dada4594dd2a226cedf1d46247c57aa970dbe1a276b428584060549aaac1