Paper Citation Record · LEDGER

Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.06727.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.06727 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:08.307123Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T16:29:57.474992Z

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 a7bb6a49-981d-4ee6-a6e2-b1162b8ddd8f · 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 Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:08.307123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae60d8e-80e1-4839-8c79-64d232e126ed · 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 Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:33.769478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c2ef4f-be83-47c7-b08e-9865e85b5a3d · inbound

KANs need curvature: penalties for compositional smoothness cites this paper.

KANs need curvature: penalties for compositional smoothness Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:36.439280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d677a6df-6c71-4e3f-aca6-74d926a75f27 · 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 Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:29.222219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4425f20c-15ee-4c53-b4f6-c3ea94c9391b · inbound

KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition cites this paper.

KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:38:12.434911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87e31936-ed1e-45f6-ba5c-2b13748c4b4b · inbound

KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition cites this paper.

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:14:59.268710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78e0d283-3a8d-4640-86df-9e1c55c26008 · inbound

Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting cites this paper.

Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:39:45.792068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a1db7a3-1279-4a3f-8b22-7c540d169cc8 · 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 Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.476680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.