Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Suitability of KANs for Computer Vision: A preliminary investigation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.09087.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:00.671868Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:30:50.885296Z
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 3f04c782-ee29-408f-9dcb-9895bd4c5844 · inbound
"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding cites this paper.
"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Suitability of KANs for Computer Vision: A preliminary investigation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:01:00.671868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 024dd031-622c-4aff-a670-66366afca3d9 · inbound
Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models cites this paper.
Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models Suitability of KANs for Computer Vision: A preliminary investigation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:26.234753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50bab485-61e9-4549-939a-6a836b925db5 · inbound
A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.
A Practitioner's Guide to Kolmogorov-Arnold Networks Suitability of KANs for Computer Vision: A preliminary investigation
Reference 192
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:30:50.888466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c33066a3-5907-41dc-95b7-248e4be4ebdf · inbound
Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches cites this paper.
Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches Suitability of KANs for Computer Vision: A preliminary investigation
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:23:37.251055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ebe1cfc-30c9-4a33-b0bf-dfe2f7ecb665 · inbound
KAN Text to Vision? The Exploration of Kolmogorov-Arnold Networks for Multi-Scale Sequence-Based Pose Animation from Sign Language Notation cites this paper.
KAN Text to Vision? The Exploration of Kolmogorov-Arnold Networks for Multi-Scale Sequence-Based Pose Animation from Sign Language Notation Suitability of KANs for Computer Vision: A preliminary investigation
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:56:29.234568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.