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Paper Citation Record · LEDGER

Suitability of KANs for Computer Vision: A preliminary investigation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.09087.

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

pith.paper-citation-record.v1
2406.09087 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:21.172749Z

measured 0 of 1 external citation measurements

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 8033fbd3-4311-42ff-a771-b11cda6d303a · inbound

Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers cites this paper.

Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers Suitability of KANs for Computer Vision: A preliminary investigation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:42.950531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:42.950531Z digest=sha256:b36f84ff8ae16a4a64b711c59d36e7e605b77506f44195d645a8b661e6ca5f8d

Observation 19bb2fbf-8969-47af-8e45-08e621f82056 · inbound

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning cites this paper.

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning Suitability of KANs for Computer Vision: A preliminary investigation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:21.172749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:32:21.172749Z digest=sha256:021d24e279f3ce02eb1029d70ee104c7e618a59d00061c909b34236709390bf4

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.

source=pdf_text observed=2026-08-07T14:01:00.671868Z digest=sha256:d82546543c9a2b1ff5bd1a18b7a8e7a421d9745948b97bcf319a5f15d53fa5e4

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.

source=pdf_text observed=2026-08-07T00:22:26.234753Z digest=sha256:e703db60c8deb4b464b7d6860e38baa7fee76bf183623201c54e6e1dbd5dea1e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:4128b69d4ac0eac871bb21e865457c9df9e51ef01d9bd6e7def630fc42a7860e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T07:13:10.140500Z digest=sha256:735fd6d6dbf4751ea04a386c9b333b4c93275ad078f57857733199efd6176603

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T03:47:58.527417Z digest=sha256:6b0f5337674c5ebb70cc11def539ca978a237b1373ebc595d9e73aab7b735e35