Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.01841.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:39.023055Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:37:42.773855Z
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 756b3e73-50f6-4be7-9001-e1483fadcf00 · inbound
ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models cites this paper.
ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:37:42.845411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c0c09140-60ea-4108-9f51-bdfc92f8672b · inbound
S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization cites this paper.
S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:45:24.096393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.