Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14870.
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 2026-08-10T22:58:07.565735Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:32:35.729523Z
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 1ce3be5d-84b6-4096-9fc3-7967af5b7fbd · inbound
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies cites this paper.
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:57:03.771362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2c343b6-a2ee-4876-a831-8a3de7a4cc97 · inbound
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM cites this paper.
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:58:07.565735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7411782-d9d2-4027-bcb2-11cc1ddda8c5 · inbound
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations cites this paper.
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:32:35.734773Z
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.
Observation 4aa22563-814c-4390-8055-4560c537d120 · inbound
UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles cites this paper.
UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:54:12.714994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.