Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.09194.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:38:36.706752Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T04:29:35.494600Z
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 c0eafd2e-6c2c-415d-a0b2-82efa8980be4 · inbound
Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots cites this paper.
Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:38:36.706752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfe6cb7f-5580-48fe-90c1-35c40d6f12a7 · inbound
Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications cites this paper.
Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T04:29:35.496250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.