Paper Citation Record · LEDGER

Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.14916.

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

pith.paper-citation-record.v1
2406.14916 v1

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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:33.904312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:55:47.166804Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 59d6ce48-56f0-4d2b-af76-32acb2866aa4 · inbound

P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimization cites this paper.

P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimization Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:55:47.175219Z

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.

Observation e4f59442-71a6-4704-8e9b-d0e9f9f2a169 · 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 Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:33.904312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d18dd39-f6ed-4a3f-aeae-f078be4ea805 · inbound

Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness cites this paper.

Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:45.707579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1448c698-506a-4a9b-854c-37284aa27bc3 · inbound

Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification cites this paper.

Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:17.463645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400abf23-82cd-44e9-8244-f825b46a16b1 · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 193

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.899145Z

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.

Observation 2627942c-de85-445b-8a80-ba4a7ee176cb · inbound

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches cites this paper.

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.817403Z

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.

Observation 0c71018b-6b8e-4fd7-b3e8-2b4457679863 · 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 Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.300180Z

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.

Observation af2b924e-54e1-4f6d-85fd-4747f76889a6 · inbound

SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions cites this paper.

SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:24:29.284033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.