Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.03670.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:29.078165Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
99
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d86dad4b-a090-43b4-ad8b-1bd4cb776bf0 · inbound
Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge cites this paper.
Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:29.078165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38b85d40-6b6c-4513-b384-0c5b4592ca45 · inbound
Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.
Few-Shot Learning in Video and 3D Object Detection: A Survey From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:00:44.692531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac18d3a-aec7-43b0-93e4-92c009174890 · inbound
Comprehensive Robustness Analysis of LiDAR-based 3D Object Detection in Autonomous Driving cites this paper.
Comprehensive Robustness Analysis of LiDAR-based 3D Object Detection in Autonomous Driving From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:58:37.157433Z
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.