Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.10546.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:11:44.894598Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:23:56.202771Z
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 ad53785b-dfee-4dcb-85c4-c8c382555b4e · inbound
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map cites this paper.
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:11:44.894598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cf3e6d8-8bc3-480d-845d-c55d128fe0c2 · inbound
A Comprehensive Evaluation of LiDAR Odometry Techniques cites this paper.
A Comprehensive Evaluation of LiDAR Odometry Techniques The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:23:56.363228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.