Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.13188.
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 2026-08-07T14:49:18.038951Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:51:42.769135Z
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 3e236c0e-c6cc-4db6-9ce2-975112996ff4 · inbound
MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity cites this paper.
MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:49:18.038951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e9e92cc-59fa-4ec6-bd30-1308c87b1ab2 · inbound
PG-LIO: Photometric-Geometric fusion for Robust LiDAR-Inertial Odometry cites this paper.
PG-LIO: Photometric-Geometric fusion for Robust LiDAR-Inertial Odometry Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:20:43.118444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea3d95b0-0f46-40fd-9e5a-b2bc66239599 · inbound
InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling cites this paper.
InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T14:51:42.776405Z
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.