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Paper Citation Record · LEDGER

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.06038.

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

pith.paper-citation-record.v1
1907.06038 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:13:52.252370Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:22:24.483787Z

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 326f9f3e-59f8-4f74-9fca-0d2e1515de33 · inbound

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning cites this paper.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:22:24.488947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:22:24.056051Z digest=sha256:fc0f11a2762686a1fd168b72be50999f9191ae5b0be651d7d2d205b76446e865

Observation e3d04130-b4f6-4ebd-8a28-33ab6ffa3178 · inbound

Depth as Points: Center Point-based Depth Estimation cites this paper.

Depth as Points: Center Point-based Depth Estimation M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:13:52.252370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:13:52.252370Z digest=sha256:e8a77a955ee8c9f71e612f12349e25eb655ff2d7ba2c376185564c54433838e6