Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.16907.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:15:35.321579Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T19:35:54.525662Z
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 027792ee-2c14-4daf-ad11-64f0697c782d · inbound
RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting cites this paper.
RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:15:35.321579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3e0625d-bd29-4d80-91ad-6b0393257682 · inbound
Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks cites this paper.
Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T19:35:54.533556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.