Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.08134.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:14.471404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:06:15.269683Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e6602d9d-56ba-4ec3-aad3-6394e29d4109 · inbound
Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd0fd758-38f6-465b-a1b1-dc4e87c359f0 · inbound
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62f85dda-1ba7-4af6-9d0d-106e475a0d33 · inbound
Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ea5749f-e90f-4f68-87ed-c03861902bce · inbound
TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.