Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Boosting 3D Object Detection via Object-Focused Image Fusion
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.10589.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:04.929624Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T02:18:52.822638Z
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 d3e67c78-0175-4597-be3f-81af07965c6d · 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 Boosting 3D Object Detection via Object-Focused Image Fusion
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:18:55.945901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5cddb47-7c53-4fce-89f6-2b76cab1f634 · inbound
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving cites this paper.
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving Boosting 3D Object Detection via Object-Focused Image Fusion
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:29:04.929624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbd4ed57-a1c3-4900-b2bf-c765554fd2f7 · inbound
GraphFusion3D: Dynamic Graph Attention Convolution with Adaptive Cross-Modal Transformer for 3D Object Detection cites this paper.
GraphFusion3D: Dynamic Graph Attention Convolution with Adaptive Cross-Modal Transformer for 3D Object Detection Boosting 3D Object Detection via Object-Focused Image Fusion
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:18:52.824365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.