Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.13550.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:08.312277Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:29:57.463183Z
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 fb952a64-072b-4bcd-b750-a19a4fe8593e · inbound
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification cites this paper.
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:01:08.312277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a64e3b3-00bd-47b0-b52c-47fe32df0232 · inbound
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement cites this paper.
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:41:33.607671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffc75fc4-73be-4d28-b7c4-260549d4d198 · inbound
KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks cites this paper.
KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:17:29.276501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3babd9b4-24b3-4b69-8074-aec15423dc05 · inbound
Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs cites this paper.
Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:29:57.464614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.