Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.15599.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:13:30.080245Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T00:15:12.340431Z
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 87cb7c38-ee8c-44a4-8ace-2fc2cb078736 · inbound
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation cites this paper.
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:13:30.080245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5010a5fa-34b4-4212-b9a4-5fe270bde68e · inbound
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations cites this paper.
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T00:15:12.346382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.