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Paper Citation Record · LEDGER

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony

As of 15 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.03302.

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

pith.paper-citation-record.v1
2506.03302 v2

Coverage vector

measured 62 of 62 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 8e55ec2e-027c-4482-b7cd-65b2eea4dcbf · outbound

This paper cites Machine learning and the physical sciences,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Machine learning and the physical sciences,

Reference 1

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This paper cites Explainable machine learning for scientific insights and discoveries,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Explainable machine learning for scientific insights and discoveries,

Reference 2

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Observation 31283614-6d88-4cf5-a8c2-4730ee447e5b · outbound

This paper cites Artificial intelligence: A powerful paradigm for scientific research,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Artificial intelligence: A powerful paradigm for scientific research,

Reference 3

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Scientific discovery in the age of artificial intelligence,

Reference 4

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Observation c15756ab-0f8d-4014-a7cb-fe81678f7f51 · outbound

This paper cites Physics-informed machine learning,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Physics-informed machine learning,

Reference 5

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This paper cites Physics-informed machine learning: case studies for weather and climate modelling,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Physics-informed machine learning: case studies for weather and climate modelling,

Reference 6

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Observation cd527ed0-addb-4e82-91b3-5021815bd754 · outbound

This paper cites Learning skillful medium-range global weather forecasting,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Learning skillful medium-range global weather forecasting,

Reference 7

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Observation 2beef697-6a0b-4b71-ba20-5a581c97966b · outbound

This paper cites Highly accurate protein structure prediction with al- phafold,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Highly accurate protein structure prediction with al- phafold,

Reference 8

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This paper cites Data-driven modeling and learning in science and engineering,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Data-driven modeling and learning in science and engineering,

Reference 9

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This paper cites Perspectives on the integration between first-principles and data-driven modeling,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Perspectives on the integration between first-principles and data-driven modeling,

Reference 10

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This paper cites It’s just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony It’s just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy,

Reference 11

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This paper cites How explainability contributes to trust in ai,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony How explainability contributes to trust in ai,

Reference 12

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Ai and science: what 1,600 researchers think,

Reference 13

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Can we open the black box of AI?,

Reference 14

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This paper cites KAN: Kolmogorov–Arnold net- works,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony KAN: Kolmogorov–Arnold net- works,

Reference 15

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 16

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This paper cites From PINNs to PIKANs: Recent advances in physics-informed machine learning,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony From PINNs to PIKANs: Recent advances in physics-informed machine learning,

Reference 17

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony KAN-ODEs: Kolmogorov– Arnold network ordinary differential equations for learning dynamical systems and hidden physics,

Reference 18

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This paper cites Data-driven model discovery with Kolmogorov–Arnold networks,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Data-driven model discovery with Kolmogorov–Arnold networks,

Reference 19

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Neural architecture search: A survey,

Reference 20

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Deeply- supervised nets,

Reference 21

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This paper cites BranchyNet: Fast inference via early exiting from deep neural networks,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony BranchyNet: Fast inference via early exiting from deep neural networks,

Reference 22

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Conditional deep learning for energy-efficient and enhanced pattern recognition,

Reference 23

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Why should we add early exits to neural networks?,

Reference 24

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Deep residual learning for image recognition,

Reference 25

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This paper cites Multilayer feedfor- ward networks are universal approximators,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Multilayer feedfor- ward networks are universal approximators,

Reference 26

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Unresolved cited work

Reference 27

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony On functions of three variables,

Reference 28

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony On the representations of continuous functions of many variables by superposition of continuous functions of one variable and addition,

Reference 29

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This paper cites Kolmogorov-Arnold Networks are Radial Basis Function Networks.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Kolmogorov-Arnold Networks are Radial Basis Function Networks

Reference 30

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Observation 6e65e441-ed16-407b-8c18-bba1e230aa9d · outbound

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

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 31

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This paper cites SineKAN: Kolmogorov–Arnold networks using sinusoidal activation func- tions,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony SineKAN: Kolmogorov–Arnold networks using sinusoidal activation func- tions,

Reference 32

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

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 33

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Observation 51e77322-7eba-492d-8a77-6c44101394db · outbound

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Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 34

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Observation 98bdef8e-7d07-48e5-ad45-93630334a05a · outbound

This paper cites On the limited memory BFGS method for large scale optimization,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony On the limited memory BFGS method for large scale optimization,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.359005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.930681Z digest=sha256:81051f72352e4c024b231723baf3cb963a5bb1e507ab7020da6ee6777a5c0b25

Observation b5680a6b-8cd5-4b90-b31d-df6e9fcac213 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Adam: A Method for Stochastic Optimization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:03.933945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:03.933945Z digest=sha256:d2821bdf3eb4eb08c0eb91a963fb4e4f645ad6f62f47b3e9ee97d09d10f7ed3b

Observation 68043b85-e019-43fe-a1fa-39e6bc658b78 · outbound

This paper cites Bert loses patience: Fast and robust inference with early exit,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Bert loses patience: Fast and robust inference with early exit,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.349754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.937192Z digest=sha256:c94fe7ccb34b0a2bee00491a56252474b3474b8c443b570a9fc3441cedab3b7d

Observation 385e5b8e-f6fe-4c1a-ae1f-12556b207e91 · outbound

This paper cites BERxiT: Early exiting for BERT with better fine-tuning and extension to regression,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony BERxiT: Early exiting for BERT with better fine-tuning and extension to regression,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.341403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.940503Z digest=sha256:a29b85475934241f20fd1a3c4ea676fbf8ab82ff77413f65a97b67fa013affa4

Observation 94d2fd23-3c22-4bfe-b48e-4b50da188693 · outbound

This paper cites Adaptive inference through early-exit networks: Design, challenges and directions,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Adaptive inference through early-exit networks: Design, challenges and directions,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.333226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.943420Z digest=sha256:3a174da02269fbd598bef48168d76147877c903d68e061fc5cfebd2be2705052

Observation 1dd4fd41-df39-4e05-a2ff-7d7d164fadec · outbound

This paper cites Early-exit deep neural network - a comprehensive survey,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Early-exit deep neural network - a comprehensive survey,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.325314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.946073Z digest=sha256:fcf7db15b9a658d01582b14157ce5c69983fdf913add4bb1e00a768768d27b34

Observation 4cf6d31c-d0f2-443c-9a19-949d81af7070 · outbound

This paper cites Densely connected convolutional networks,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Densely connected convolutional networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.317923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.949539Z digest=sha256:043bc591e773bdb2eedd339bb1def40487f4ccd52caaf0ea328f4d82320b5830

Observation 06d65c58-dab0-4f3b-9c41-07010dcd5352 · outbound

This paper cites AI Feynman: A physics- inspired method for symbolic regression,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony AI Feynman: A physics- inspired method for symbolic regression,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.310432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.953311Z digest=sha256:4784180d73b015aff092d1d5601018027e171c31a5e5ad1e527592a6e8e2a9b8

Observation aaeb8390-a965-4dbb-aeaa-7ff8fc9100b8 · outbound

This paper cites AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.291866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.956184Z digest=sha256:358535cd4d61057fa8067a5a4adcce92a5acc0ab7b265ac774b42516aeb1d974

Observation d75531c1-e74d-4025-8833-9dba91627539 · outbound

This paper cites Multiple-valued stationary state and its instabil- ity of the transmitted light by a ring cavity system,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Multiple-valued stationary state and its instabil- ity of the transmitted light by a ring cavity system,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.281858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.959091Z digest=sha256:2e5b466958aececc1e0e66f3c3cb0f0354d01cd324288d139b39ea06b3fac3e7

Observation 1002d8dd-f733-4bb4-957c-e0ce8e067651 · outbound

This paper cites Global dynamical behavior of the optical field in a ring cavity,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Global dynamical behavior of the optical field in a ring cavity,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.270974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.962251Z digest=sha256:632845622f2f107419bb7ee174b8ef067eef89ba3e77d013a4ca555811f33e02

Observation 5a5edae7-640d-4c32-910e-00a0878257c8 · outbound

This paper cites Nonlinear dynamics and population disappearances,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Nonlinear dynamics and population disappearances,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.260579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.965310Z digest=sha256:42b17e0e638fb30b09aff7b5bc2da0fae7cae25cb13dc59366a10ef104142e48

Observation 97c78513-78a8-420a-aaee-d43056fb5b97 · outbound

This paper cites Distal Interference: Exploring the Limits of Model-Based Continual Learning.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Distal Interference: Exploring the Limits of Model-Based Continual Learning

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:11:04.089123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.968149Z digest=sha256:3f5d53f801abc7a09f4da7006beeaf4589c9da3ae9624cec399adcf9ccb8afd1

Observation 3a146412-c1d8-450f-a830-c8b893fa13d7 · outbound

This paper cites Airfoil self-noise and prediction,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Airfoil self-noise and prediction,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.248578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.971258Z digest=sha256:adaec2102c347854a33f18d1bf4fd35ea942701e2556620c0b53f234dbe12b4f

Observation de75c24a-b017-42a4-98b6-d34321a68c68 · outbound

This paper cites Local and global learning methods for predicting power of a combined gas & steam turbine,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Local and global learning methods for predicting power of a combined gas & steam turbine,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.238091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.974245Z digest=sha256:9ca8ef08cc76f4ae1c857abdb8b59b7f05db6a4933d55e2d8eb9b4835a7491f4

Observation 289d3b0c-8fea-4261-ae1b-8254fe77b1c7 · outbound

This paper cites Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.228227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.978383Z digest=sha256:aa156b8bd42b214c872570601a646329d1e7d12aadec7ab3c11f0989dfc94b40

Observation 00f4535d-7a27-4029-a5ce-3d445dfff0d1 · outbound

This paper cites A data-driven statistical model for predicting the critical temperature of a superconductor,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony A data-driven statistical model for predicting the critical temperature of a superconductor,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.218427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.982525Z digest=sha256:4bd85c6d1a3972446f11fccce9c247df3157f46c5f23b840caad51523e702dff

Observation 3a85051a-a598-4eb7-838c-b131538967d5 · outbound

This paper cites MDR SuperCon datasheet ver.240322.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony MDR SuperCon datasheet ver.240322

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.209685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.986639Z digest=sha256:0ac2150de69a6510a76855057b50f72705112639167d37a0e72ba88f31f3c9a7

Observation fbcf101c-116a-4ecb-84a2-ad4164faddfe · outbound

This paper cites The UCI machine learning repository,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony The UCI machine learning repository,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.199821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.990390Z digest=sha256:33f7b7b5415ad6f4c485d2d26e7eab4bef59da90b98e84955ae7138b9ead242f

Observation e20767f5-769a-4e5d-8b6b-6a4a6f52fcff · outbound

This paper cites Ensemble learning: A survey,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Ensemble learning: A survey,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.188606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.993182Z digest=sha256:4a0162b5f8ee227dff1602db1827e27c346f5dcf9d812e0abb8e2767dd464642

Observation e26ed2e8-3947-45e2-94fd-071c86dd3933 · outbound

This paper cites an unresolved cited work.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:04.178603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.996159Z digest=sha256:baa5d39116ec84ebf62712f50aafb13a33aa64628a2b0ffc1ce58d4a464c09d3

Observation 437801d0-adf3-438f-a590-bb4e26e9f10b · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony A review of uncertainty quantification in deep learning: Techniques, applications and challenges,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.168395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.999130Z digest=sha256:d605a46300e53bea37e6a2ec6435caefdee76f2f9c28ad65e71c1d68e2c5fc93

Observation 7da88c25-96a6-4719-950d-576277de856a · outbound

This paper cites Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:11:04.074657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:04.002076Z digest=sha256:a7fa55fa498657784415f711858043dce280bd76d21a049c4905ca6b221c1f3d

Observation 8fe07d64-d00a-4e4e-93d1-bd0e265e4d30 · outbound

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

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:11:04.060284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:04.005789Z digest=sha256:f19eca393c0e7d7192e71e3ede15175d6a1a7d05377823e622e89b739e9df9ef

Observation 10818575-a76b-4cbf-b03d-185ec90eef80 · outbound

This paper cites DARTS: Differentiable architecture search,.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony DARTS: Differentiable architecture search,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.157665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:04.009557Z digest=sha256:58a9bed9ea430e9ca15263d85e595d09b2e9bb91b06785555931999a908bc9a3

Observation 1a8d1f55-150f-4610-a6d2-3ae8ba5af3d8 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:04.013104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:04.013104Z digest=sha256:ba38b9d6f8a791204f17b42e567a0db501dee74a8ad82a056677652ae3ebd794

Observation a6bf706a-2ba8-4db8-913c-d608809319a9 · outbound

This paper cites FourierKAN.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony FourierKAN

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:04.147300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:04.016511Z digest=sha256:6aefbbd5fbb7c4b1bfef0c206918a68747ce3cf8a12026886577c4ebf3d92c98

Observation be778af0-1bb9-4976-b331-5b1bcfcba2f7 · outbound

This paper cites an unresolved cited work.

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:04.551086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:11:03.836890Z digest=sha256:5f601af3b93e34d4ec4cf8dd4866dcbd6937361fcb5460c40fad82d8d427de20

Pith citing papers

No inbound Pith citation observations are available.