Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.02123.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:11:27.784004Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:26:59.164537Z
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 f19dc2d4-d836-4261-931c-53c547e4c1f1 · inbound
WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields cites this paper.
WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:11:27.784004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f61c4dba-6a55-46a7-af90-82d7d7596f67 · 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 Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:26:59.248308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.