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Paper Citation Record · LEDGER

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.01864.

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

pith.paper-citation-record.v1
1903.01864 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:03:33.435156Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:18:56.118175Z

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 c9bc83fc-b970-4eeb-b6c4-f40a2ad547a0 · inbound

IoU Loss for 2D/3D Object Detection cites this paper.

IoU Loss for 2D/3D Object Detection Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:33.435156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:33.435156Z digest=sha256:4302320f8826f39f63818570f5d7aef4bb1eed5fc64785be125145683b722739

Observation 122c8fbe-896a-4864-9e63-e517584d8cfb · inbound

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots cites this paper.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:18:56.126468Z

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=2026-08-11T18:18:55.934734Z digest=sha256:ff3cb686cbdba691b8acb25dff3c5edb82611c91b92142fb45ba723fee774dfe