Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.06727.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:26:54.724963Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T07:33:13.253459Z
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 ca4a53d8-fe99-4524-bb77-5a37b8a2dd3b · inbound
BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields cites this paper.
BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:26:54.724963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f70a00a4-51b8-4620-a71f-eae52e12feb4 · inbound
Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field cites this paper.
Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:33:13.255245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.