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Paper Citation Record · LEDGER

Variational Kolmogorov-Arnold Network

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2507.02466.

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

pith.paper-citation-record.v1
2507.02466 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T05:50:36.472912Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:08:24.715516Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T03:30:50.694274Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact9
  • verified fuzzy27
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4acc3504-f1dd-4152-8543-3e961ee3923a · outbound

This paper cites Geometric Kolmogorov-Arnold Superposition Theorem.

Variational Kolmogorov-Arnold Network Geometric Kolmogorov-Arnold Superposition Theorem

Reference 1

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verified exact
arxiv_id, observed 2026-05-19T05:52:07.220083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:72975d58635a25f8e22cb18142253bc248a29f08a9ce43b49b4dc73c7a5fcb27

Observation 6193bcf1-aae1-497f-8a14-7004993b0bc4 · outbound

This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

Variational Kolmogorov-Arnold Network Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 2

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arxiv_id, observed 2026-05-19T05:52:07.214625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:a3418fe62c9120c74975c75fc93d229fdb66762926c9607689296f8e95a22141

Observation 2ff09a95-f080-43f3-a79b-7d79c9b054e5 · outbound

This paper cites Kolmogorov-Arnold Graph Neural Networks.

Variational Kolmogorov-Arnold Network Kolmogorov-Arnold Graph Neural Networks

Reference 3

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verified exact
arxiv_id, observed 2026-05-19T05:52:07.209391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:66ac58288cb641241d63a667f87fac41175a2fea6096a066ce93b4c6c6011b39

Observation 275d619e-f81e-40da-9e9b-715052cd2eba · outbound

This paper cites Adaptive message passing: A general framework to mitigate oversmoothing, oversquashing, and underreaching.

Variational Kolmogorov-Arnold Network Adaptive message passing: A general framework to mitigate oversmoothing, oversquashing, and underreaching

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.560654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:f640e3220475118ff06a0b150fde8ff6623ef8db9031a0d8a765cd2cdb5e7ff1

Observation 1d62f6e7-ffe3-4f8d-bad5-bc04303c4a1a · outbound

This paper cites Adaptive message passing: A general framework to mitigate oversmoothing, oversquashing, and underreaching.

Variational Kolmogorov-Arnold Network Adaptive message passing: A general framework to mitigate oversmoothing, oversquashing, and underreaching

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.564443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:066cc8c6822235fb1c22bcb6fe9a43fa3cc11c42765d8245343318b48fbc1e66

Observation d7351f3e-a195-47e4-b26d-154bd89cce5f · outbound

This paper cites Adaptive width neural networks.

Variational Kolmogorov-Arnold Network Adaptive width neural networks

Reference 6

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raw_fallback, observed 2026-05-19T05:52:08.545461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:05688fb1e55c6404965777bafdf48c7f6343558c8136e6b7cabb0d5d09920a5e

Observation 58048ff9-a041-4bfd-aac2-089950cd2695 · outbound

This paper cites The cascade-correlation learning architecture.

Variational Kolmogorov-Arnold Network The cascade-correlation learning architecture

Reference 7

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raw_fallback, observed 2026-05-19T05:52:08.532215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:6b041d53aee7b8a7b778c78f446622bc22d0d597c94442c246e3a8082c007637

Observation 407d758c-3332-4d40-a516-72497d150fde · outbound

This paper cites Niles, Ken Pathak, and Steven Sloan.

Variational Kolmogorov-Arnold Network Niles, Ken Pathak, and Steven Sloan

Reference 8

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raw_fallback, observed 2026-05-19T05:52:08.552707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:66424e50d70b8f5a71f287b2f8d3dfa4b78d1e0b3989912abb56e1bc529b2cc3

Observation 1708f66e-99eb-4042-8d01-0926a97f67cb · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

Variational Kolmogorov-Arnold Network Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 9

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raw_fallback, observed 2026-05-19T05:52:08.549227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:b6fc9ed4ab6e7952e54c0ef0b9a35964488c19b06a85a88e4bbc84eef84a2e31

Observation f670e8ba-129b-44ae-b2e4-0cd8ba10b698 · outbound

This paper cites Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366.

Variational Kolmogorov-Arnold Network Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366

Reference 10

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raw_fallback, observed 2026-05-19T05:52:08.536459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:f019cda9dbbf34d90e587ea99e01434ace01be05359aae18074224018a1d151f

Observation 51f95d86-b08a-48c8-af9a-181b9d7126c2 · outbound

This paper cites EKAN: Equivariant Kolmogorov-Arnold Networks, October 2024.

Variational Kolmogorov-Arnold Network EKAN: Equivariant Kolmogorov-Arnold Networks, October 2024

Reference 11

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raw_fallback, observed 2026-05-19T05:52:08.540825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:35214b26ee213e99ed0723672590ad9331b0b2cf850e0c3aa2d5d672ac95cf6d

Observation 28d089d3-99d9-4b23-b269-a42c2c7907e5 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Variational Kolmogorov-Arnold Network Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 12

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raw_fallback, observed 2026-05-19T05:52:08.556749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:327a2ccfd784f3ccf08f80ff57b9848c6707ec5aa1038958b897f9bc0547b135

Observation 125f3a4a-8151-45f6-997c-620c039e6a2b · outbound

This paper cites What is the best multi-stage architecture for object recognition? In2009 IEEE 12th international conference on computer vision, pages 2146–2153.

Variational Kolmogorov-Arnold Network What is the best multi-stage architecture for object recognition? In2009 IEEE 12th international conference on computer vision, pages 2146–2153

Reference 13

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raw_fallback, observed 2026-05-19T05:52:08.489156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:432f99de731266efb6d8240a7be521eb5ffabd0c8d19210489bc405ef681b070

Observation 9d93063b-a9cd-46ea-8c0d-5e3800d9821d · outbound

This paper cites An introduction to variational methods for graphical models.Machine learning, 37:183–233.

Variational Kolmogorov-Arnold Network An introduction to variational methods for graphical models.Machine learning, 37:183–233

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.493124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:2e26a6cd46494f82e18552c6bd963d44403f63039a6dfaa3f636b01c49b56cb7

Observation a691e98c-4474-4860-8b9c-b4d9f9977941 · outbound

This paper cites American Mathematical Society.

Variational Kolmogorov-Arnold Network American Mathematical Society

Reference 15

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raw_fallback, observed 2026-05-19T05:52:08.497083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:5f4b22f37733dad11cb5df4883424cf32d75b17c7c0cd7c11091cbe610d3be77

Observation c0eadba1-3b7f-4cf8-afed-4a9cffe2bf47 · outbound

This paper cites On the training of a kolmogorov network.

Variational Kolmogorov-Arnold Network On the training of a kolmogorov network

Reference 16

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raw_fallback, observed 2026-05-19T05:52:08.500950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:d6ae8fecc65be80f566818ea8d028f15d104ff57778cfe39ad4868008b7a5e31

Observation a567d33d-e779-4e39-b025-23cb3010ae74 · outbound

This paper cites Nguyen, and David A.

Variational Kolmogorov-Arnold Network Nguyen, and David A

Reference 17

Resolution
verified exact
doi, observed 2026-05-19T05:52:06.974062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:3f87811f60304e9c3b11bacd59b51ed8172b8b6ffd672f66aa72cca1882ca7fb

Observation 78787ac0-9c0c-4421-ad55-7c998cfbafcd · outbound

This paper cites Learning multiple layers of features from tiny images.Master’s thesis, University of Toronto.

Variational Kolmogorov-Arnold Network Learning multiple layers of features from tiny images.Master’s thesis, University of Toronto

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.478721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:d9e322d469e4e7e391bf5e33fe12312fb9089f73c98e2bef7f0231cd614c6759

Observation c1abe4f6-e8d1-429f-8e98-5e1797d21136 · outbound

This paper cites Kolmogorov’s theorem and multilayer neural networks.Neural networks, 5(3):501–506.

Variational Kolmogorov-Arnold Network Kolmogorov’s theorem and multilayer neural networks.Neural networks, 5(3):501–506

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.472011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:5eef3d938a0278dbce9fb6d1577f77b95cfd1b2aa09283d436ddc1bd78f7706c

Observation 6020998d-7cff-483c-ac0c-329773bab7ed · outbound

This paper cites A superposition theorem of Kolmogorov type for bounded continuous functions.

Variational Kolmogorov-Arnold Network A superposition theorem of Kolmogorov type for bounded continuous functions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.516222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:a98958cf2e33ce48da3f9f61f9c3ad7e3e57c8acbaf66ffb8280c7fa58b5e5a9

Observation 404fce7f-ba41-4a22-88c8-cfe867f66b04 · outbound

This paper cites The kolmogorov superposition theorem can break the curse of dimensionality when approximating high dimensional functions.

Variational Kolmogorov-Arnold Network The kolmogorov superposition theorem can break the curse of dimensionality when approximating high dimensional functions

Reference 21

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arxiv_id, observed 2026-05-19T05:52:07.170307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:9b943eef7ce31be5f5ced1de3e6c5283a7592cb5d1119d7853d63ebef1718ec9

Observation 3ffb310d-633f-409a-bcaa-39423604207f · outbound

This paper cites The mnist database of handwritten digits.http://yann.

Variational Kolmogorov-Arnold Network The mnist database of handwritten digits.http://yann

Reference 22

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raw_fallback, observed 2026-05-19T05:52:08.505064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:22ac363b9bb92a2d7f045e01dd3f6e54f4d04eb18cf0e85ac958545b407b37de

Observation a2091d51-cb7a-45f0-a1eb-511c29eacd34 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Variational Kolmogorov-Arnold Network KAN: Kolmogorov-Arnold Networks

Reference 23

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local_arxiv, observed 2026-05-19T05:52:06.970528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:4f6ae9c37936e9fe724add0a272edfab03007dd8a39e492c71c7871f77061503

Observation 71455ff0-212c-410a-b250-61229c247586 · outbound

This paper cites Hou, and Max Tegmark.

Variational Kolmogorov-Arnold Network Hou, and Max Tegmark

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.485376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:99bd536ea5b37ff4017a1f1867104c613f0b05db3644f88a5e0493ce1f6631a5

Observation 02680bb4-8d15-4257-ad1a-bca6709f5ab3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Variational Kolmogorov-Arnold Network Decoupled Weight Decay Regularization

Reference 25

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verified exact
local_arxiv, observed 2026-05-19T05:52:07.193137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:2cee615fc1b8c1f4668fc34d834bbf011fbd74123f4d0f0dada37cc86e2c4e17

Observation 75c0a034-66c7-421c-a7ef-e61e7429e7b9 · outbound

This paper cites Self expanding neural networks.

Variational Kolmogorov-Arnold Network Self expanding neural networks

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.528192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:5cb8556dbefcb9bf685dce7aef527db434f9e90c911d03182a584a08ac029b89

Observation af462c07-4fee-4cfa-88b9-2d1bf6c39b90 · outbound

This paper cites Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann.

Variational Kolmogorov-Arnold Network Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.482170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:c505392d01e64a6cc210f7c556c951b286b5434fc910eeb1af48f49c51522ec3

Observation 6c010f38-44b6-4ac5-afb6-dfbe075f6a31 · outbound

This paper cites EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials.

Variational Kolmogorov-Arnold Network EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials

Reference 28

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verified exact
arxiv_id, observed 2026-05-19T05:52:07.198557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:1501f8649cbda6f2b3ac1960cada87a8069fa4dfbbd9086287262123a7e62c70

Observation d5911b81-9f02-49f2-aa5c-db88dff87150 · outbound

This paper cites Variational inference for infinitely deep neural networks.

Variational Kolmogorov-Arnold Network Variational inference for infinitely deep neural networks

Reference 29

Resolution
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raw_fallback, observed 2026-05-19T05:52:08.475346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:61394a57547c9d0b7740292ad67607b1afcc67c11ba82d50120c802dd84b8de1

Observation bc04b35a-3a5b-4dc7-8188-ba2027bfe0c3 · outbound

This paper cites How deep sparse networks avoid the curse of dimensionality: Efficiently computable functions are compositionally sparse.CBMM Memo, 10:2022.

Variational Kolmogorov-Arnold Network How deep sparse networks avoid the curse of dimensionality: Efficiently computable functions are compositionally sparse.CBMM Memo, 10:2022

Reference 30

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raw_fallback, observed 2026-05-19T05:52:08.524435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:66694655014f43aa9a820d90e30c9a40df41e29403be7a75012d076a03718658

Observation c8a2ee24-35c5-4148-b9eb-876b257ec742 · outbound

This paper cites A Survey on Kolmogorov-Arnold Network, November 2024.

Variational Kolmogorov-Arnold Network A Survey on Kolmogorov-Arnold Network, November 2024

Reference 31

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raw_fallback, observed 2026-05-19T05:52:08.468968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:d7cf54ad2bd094ef10fb29776c02f1193c7fde05fb69b4c816a203db5b8ead1e

Observation d4ea487d-64aa-4dad-bea1-6f2e6c902f5d · outbound

This paper cites Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation.

Variational Kolmogorov-Arnold Network Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 32

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arxiv_id, observed 2026-05-19T05:52:07.176469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:c1e5d5a4a92c3c74d3854fa8af3a39072a0892c88fa01a5977553b98d3c5ef54

Observation b3f75a16-5498-44be-8586-3d8a0df9b515 · outbound

This paper cites Splitting steepest descent for growing neural architectures.

Variational Kolmogorov-Arnold Network Splitting steepest descent for growing neural architectures

Reference 33

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.511108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:7a88292eac7e7ba18c1d7b3941e990c4ea29a5ae969aca19c45823964e93180b

Observation d04b1c22-ea72-4efd-8250-dc64f68bad42 · outbound

This paper cites Firefly neural architecture descent: a general approach for growing neural networks.

Variational Kolmogorov-Arnold Network Firefly neural architecture descent: a general approach for growing neural networks

Reference 34

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verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.520591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:56dde2756924c1c0736d3dba81f58cbe1bbc8eb000f7861ba510b38dfda06fdc

Observation 0f2bed28-ac89-4dd7-b529-712c38e0c078 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Variational Kolmogorov-Arnold Network Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-19T05:52:07.182064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:fdf2c01d017d8a31e7cc01e3539ec1bc05e3f52eac1fadd578c3331b7cd2b1d4

Observation ffa60b29-6805-4401-86c8-f0f1b5a30798 · outbound

This paper cites Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Variational Kolmogorov-Arnold Network Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.203930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:7fc5f1bb892f1ea99668551cb523e0a841be2207b1a72fc8b1a408a480083d7d

Observation 641f6a60-05fb-4162-bfd1-e2c11552efe8 · outbound

This paper cites How powerful are graph neural networks? In7th International Conference on Learning Representations (ICLR).

Variational Kolmogorov-Arnold Network How powerful are graph neural networks? In7th International Conference on Learning Representations (ICLR)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.463164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:412ed7af1d21656561dd0c4905b1f8eb79212fc025a994156735114afc837853

Observation 1cd1b14c-7cf4-4f14-8127-95a6f1eed931 · outbound

This paper cites WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?.

Variational Kolmogorov-Arnold Network WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.187801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:ecf5a50f4c8879bce58d56a793331d0a4c5296355b510eb116fce69318cec9a2

Observation 28a5c40d-38d2-44a3-9bc6-200061a86c13 · outbound

This paper cites Kolmogorov-Arnold Transformer, September 2024.

Variational Kolmogorov-Arnold Network Kolmogorov-Arnold Transformer, September 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:52:08.466112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:bcc38f0981935f9700756942a34ed572a77d372b17d6f99cf2c0fab035a573b0

Observation 4f3cd574-a50b-465e-9531-2c078a5b2aeb · outbound

This paper cites Lifelong learning with dynamically expandable networks.

Variational Kolmogorov-Arnold Network Lifelong learning with dynamically expandable networks

Reference 40

Resolution
malformed identifier
raw_fallback, observed 2026-05-19T05:52:08.459906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:50:36.472912Z digest=sha256:f6faab662f82e3be7882c64150f17485f0e4a6c9292debbadd1acdb8448581fd

Pith citing papers

Observation e2288df8-759e-4426-94ac-38d54ff4bfd4 · inbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks Variational Kolmogorov-Arnold Network

Reference 213

Resolution
verified exact
local_arxiv, observed 2026-05-18T03:30:50.696806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:bbfd415f50c0dbcc2c2d8ee0e963e83009a5cf416e1e21f6251d0f46290d68c6

Observation 61f3bb05-a96a-4131-9b63-5cd9e6c3e334 · inbound

Clifford Kolmogorov-Arnold Networks cites this paper.

Clifford Kolmogorov-Arnold Networks Variational Kolmogorov-Arnold Network

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T04:08:24.715516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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