Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.07833.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T14:08:38.452634Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T11:29:52.290998Z
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 ad901012-e853-492f-8868-fe80909d9ed3 · inbound
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy cites this paper.
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:08:38.452634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d5e0743-088b-48f0-b877-10dfc69a804d · inbound
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges cites this paper.
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T11:29:52.295609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.