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Paper Citation Record · LEDGER

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1812.04244.

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

pith.paper-citation-record.v1
1812.04244 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:30:50.718798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:13:08.028958Z

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 119f7071-0775-482c-9b59-b9ec71c78169 · inbound

Fast Point R-CNN cites this paper.

Fast Point R-CNN PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T14:30:50.718798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:30:50.718798Z digest=sha256:161375f35d0750894a5bfe32afade60bb69d28c1f1ede005f658fba466e6a19b

Observation f2702088-422c-459b-9e92-f07278c61d3f · inbound

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud cites this paper.

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T05:16:12.869283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:16:12.869283Z digest=sha256:2e16fad31fe910fb8a3eea6dad229c0971a0ba4e4a347c332bfcf47d14359b48

Observation e1871f45-c090-4b70-b42c-df5c82770f28 · 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 PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T12:22:24.074774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:22:24.074774Z digest=sha256:babe60275706c863abf743a13f04ae3e34f349ce752e3a4967cab676b4382b81

Observation 70bcaecc-0c36-41b1-9450-c0d54195480f · inbound

Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes cites this paper.

Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:13:08.034757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:13:04.157255Z digest=sha256:3fada2a325900b133edc2057d7c04abe371390dd84f2148c666efcf2b319f01b