Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:34.553098Z
Paper Citation Record · LEDGER
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 7 inbound Pith citation observations for arXiv:2504.15110.
A citation records a reference. It does not transfer a finding from one paper to another.
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One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:48.433653Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
54 of 54 outbound references displayed
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- unresolved11
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External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 35145108-54b8-4e48-a3f3-fd3ce5d1fe4e · outbound
This paper cites Mathematical Finance 34 , 2 (2024), 671– 735.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Mathematical Finance 34 , 2 (2024), 671– 735
Reference 1
- Resolution
- verified fuzzy
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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.
Observation c9207fcd-e055-4b1b-b4b0-63818623f8dc · outbound
This paper cites Scale-sensitive dimensions, uniform convergence, and learnability.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Scale-sensitive dimensions, uniform convergence, and learnability
Reference 2
- Resolution
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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.
Observation b587b1e3-34be-43ae-921a-5d1beff7ad3c · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 3
- Resolution
- unresolved
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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.
Observation e5308633-4d80-48b0-bc54-e9d5a4ccdd19 · outbound
This paper cites Almost linear vc dimension bounds for piecewise polynomial networks.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Almost linear vc dimension bounds for piecewise polynomial networks
Reference 4
- Resolution
- verified fuzzy
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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.
Observation 32fd85b7-3dbc-440f-8c02-d07c6c1c6a19 · outbound
This paper cites L., Kulkarni, S.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections L., Kulkarni, S
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:37.235516Z
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.
Observation 352b1b27-4e89-4257-b9c3-e1fc44f30f59 · outbound
This paper cites Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
Reference 6
- Resolution
- verified fuzzy
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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.
Observation c57aaa4f-cbd3-4213-b360-e74231e7aaf0 · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2275d5b-9322-4b60-a77f-dfcaceccc146 · outbound
This paper cites Extending sobolev func- tions with partially vanishing traces from locally (ε,δ)-domains and applications to mixed boundary problems.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Extending sobolev func- tions with partially vanishing traces from locally (ε,δ)-domains and applications to mixed boundary problems
Reference 8
- Resolution
- verified fuzzy
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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.
Observation ccfc780b-4e7d-4a7f-8a58-e5ab5ac4c9b8 · outbound
This paper cites Efficient approximation of high- dimensional functions with neural networks.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Efficient approximation of high- dimensional functions with neural networks
Reference 9
- Resolution
- verified fuzzy
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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.
Observation 17673cbe-8d96-411d-95ca-82d609b24beb · outbound
This paper cites K., and Wang, J.-Z.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections K., and Wang, J.-Z
Reference 10
- Resolution
- verified fuzzy
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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.
Observation 41e8aabb-d9e2-4069-ae29-ba91de2083ad · outbound
This paper cites A practical guide to splines , revised ed., vol.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections A practical guide to splines , revised ed., vol
Reference 11
- Resolution
- verified fuzzy
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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.
Observation 5bda752b-80f7-47db-ac91-6628728967a0 · outbound
This paper cites On the approximation of functions by tanh neural networks.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections On the approximation of functions by tanh neural networks
Reference 12
- Resolution
- verified fuzzy
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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.
Observation d9d83be8-44fa-4bca-8789-fc6db5e7e607 · outbound
This paper cites A., and Popov, V.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections A., and Popov, V
Reference 13
- Resolution
- verified fuzzy
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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.
Observation 1e6ffee6-f95a-493d-9869-5e2b4e3cbf72 · outbound
This paper cites A., and Sharpley, R.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections A., and Sharpley, R
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.795908Z
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.
Observation e6124d21-1816-44f4-8d56-cd9f600062b9 · outbound
This paper cites Simultaneously solving fbsdes with neural operators of logarithmic depth, constant width, and sub-linear rank.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Simultaneously solving fbsdes with neural operators of logarithmic depth, constant width, and sub-linear rank
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 113f79d4-c5de-4997-99bb-bc3dc6fd0008 · outbound
This paper cites Approxima- tion spaces of deep neural networks.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Approxima- tion spaces of deep neural networks
Reference 16
- Resolution
- verified fuzzy
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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.
Observation dff3950e-fc10-4c8f-8d65-1499e96f10a2 · outbound
This paper cites Deep residual learning for image recognition.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Deep residual learning for image recognition
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.723087Z
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.
Observation a405ba5a-2fdb-42e6-a8f7-9b955fa2a6ca · outbound
This paper cites Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T11:38:34.773719Z
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.
Observation f6fe8c3e-eb13-43bf-a7db-2aba8dcc4099 · outbound
This paper cites Smoothness spaces of higher order on lower dimen- sional subsets of the Euclidean space.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Smoothness spaces of higher order on lower dimen- sional subsets of the Euclidean space
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.708725Z
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.
Observation 9e574aa1-5b12-45a0-a209-3ebd9198f1b2 · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 20
- Resolution
- unresolved
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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.
Observation 29f8e6df-de03-4a7b-9659-954479660820 · outbound
This paper cites Z., and Yang, Y.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Z., and Yang, Y
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.638545Z
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.
Observation e3009bd6-b034-4b07-86be-9824cc8be844 · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 22
- Resolution
- unresolved
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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.
Observation f66b033a-15f0-455c-92c8-7ae36bbd144e · outbound
This paper cites Sur le th´ eor` eme de superposition de Kolmogorov.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Sur le th´ eor` eme de superposition de Kolmogorov
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.417716Z
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.
Observation be0a87c2-969d-4077-83e2-59ef55b1aeb3 · outbound
This paper cites Polynomial bounds for vc dimension of sigmoidal and general pfaffian neural networks.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Polynomial bounds for vc dimension of sigmoidal and general pfaffian neural networks
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.404743Z
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.
Observation afac992a-3829-43b3-86ab-2fb54de75eac · outbound
This paper cites Universal approximation with deep narrow networks.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Universal approximation with deep narrow networks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.390825Z
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.
Observation a3deb74b-6772-48f8-ab8b-1f152c3101aa · outbound
This paper cites Transformers are minimax optimal nonpara- metric in-context learners.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Transformers are minimax optimal nonpara- metric in-context learners
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.376256Z
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.
Observation e2f946f5-9772-44b6-a14e-8fd760b26756 · outbound
This paper cites Universal approximation theorems for differentiable geometric deep learning.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Universal approximation theorems for differentiable geometric deep learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.291319Z
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.
Observation e659a5c7-feca-4787-ac75-40e26b11844c · outbound
This paper cites Resnet with one-neuron hidden layers is a universal approx- imator.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Resnet with one-neuron hidden layers is a universal approx- imator
Reference 28
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- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.205559Z
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.
Observation 176cea7a-e45f-494b-8c4e-729890776214 · outbound
This paper cites Y., and Tegmark, M.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Y., and Tegmark, M
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.191765Z
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.
Observation d21ff679-0d35-4ea5-9028-e68f26bc87e4 · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 30
- Resolution
- unresolved
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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.
Observation c69fb825-1b8c-4b6d-9f04-d691b21e39cd · outbound
This paper cites W., and Xu, J.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections W., and Xu, J
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1fc2c69-1cbe-4c88-aea8-fe02b9bdddce · outbound
This paper cites N., and Micchelli, C.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections N., and Micchelli, C
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:36.163035Z
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.
Observation d08632c4-0208-4525-ad31-8697e708fde5 · outbound
This paper cites N., and Poggio, T.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections N., and Poggio, T
Reference 33
- Resolution
- verified fuzzy
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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.
Observation 56a8403e-4bba-4cdc-bffa-3a299134b2db · outbound
This paper cites In International Conference on Learning Representations (2021).
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections In International Conference on Learning Representations (2021)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.975340Z
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.
Observation 9e56a1a6-8fd8-4ce0-9f8b-0141c29b82c3 · outbound
This paper cites H., Balestriero, R., and Baraniuk, R.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections H., Balestriero, R., and Baraniuk, R
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.961609Z
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.
Observation 710c5431-0979-44be-952b-61702e2f9066 · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:38:35.947154Z
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.
Observation cbb084bd-bc6b-4d49-b40f-ac78d2c1c220 · outbound
This paper cites Recurrent fourier-kolmogorov arnold networks for photovoltaic power forecasting.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Recurrent fourier-kolmogorov arnold networks for photovoltaic power forecasting
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.931557Z
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.
Observation 0f078491-2329-4ff8-9d77-e7f9e6a6a27d · outbound
This paper cites an unresolved cited work.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:38:35.917008Z
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.
Observation 682d11e1-0906-4970-b967-ce828af693b4 · outbound
This paper cites GLU Variants Improve Transformer.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections GLU Variants Improve Transformer
Reference 39
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5ed3e46-065b-4799-b863-f5841d5e4186 · outbound
This paper cites New estimates of Rychkov’s universal extension operator for Lipschitz domains and some applications.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections New estimates of Rychkov’s universal extension operator for Lipschitz domains and some applications
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.903126Z
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.
Observation a428cd5d-85d3-4997-b27e-e85bcb8648b2 · outbound
This paper cites Adaptivity of deep relu network for learning in besov and mixed smooth besov spaces: optimal rate and curse of dimensionality.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Adaptivity of deep relu network for learning in besov and mixed smooth besov spaces: optimal rate and curse of dimensionality
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.705157Z
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.
Observation 7e29ca99-9c47-402a-a67d-500a0c1d5512 · outbound
This paper cites Theory of function spaces.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Theory of function spaces
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.690397Z
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.
Observation 3787832e-013e-4a30-9434-a7aca562ae29 · outbound
This paper cites W., Wellner, J.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections W., Wellner, J
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:38:34.506543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b52823a9-c968-4fd1-8774-8155b63d80e4 · outbound
This paper cites N., Kaiser, L., and Polosukhin, I.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections N., Kaiser, L., and Polosukhin, I
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.666421Z
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.
Observation f6616e1a-6fe1-46e0-97c5-163d816dadde · outbound
This paper cites Don’t fear peculiar activation functions: Euaf and beyond.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Don’t fear peculiar activation functions: Euaf and beyond
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.651373Z
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.
Observation 8cce19b6-92f4-4c37-8202-5d93549853d4 · outbound
This paper cites W., Liu, Z., and Hou, T.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections W., Liu, Z., and Hou, T
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.492238Z
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.
Observation b5df0aa1-e7e5-490b-affb-dc5c9328d31a · outbound
This paper cites Graph attention and kolmogorov–arnold network based smart grids intrusion detection.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Graph attention and kolmogorov–arnold network based smart grids intrusion detection
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.477003Z
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.
Observation 5dc36fcd-0b86-4f15-ae0c-2ca5bb7f4ce3 · outbound
This paper cites Optimal rates of approximation by shallow ReLU k neu- ral networks and applications to nonparametric regression.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Optimal rates of approximation by shallow ReLU k neu- ral networks and applications to nonparametric regression
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.461365Z
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.
Observation 504d3caf-6019-495d-a523-5184ab9a1a3c · outbound
This paper cites Optimal approximation of continuous functions by very deep relu net- works.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Optimal approximation of continuous functions by very deep relu net- works
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.341880Z
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.
Observation 56fcd50a-3635-43bc-abe7-cb102db21cc7 · outbound
This paper cites Elementary superexpressive activations.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Elementary superexpressive activations
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.230612Z
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.
Observation 7490b671-b317-4c1e-bc84-7d9486d1dfa9 · outbound
This paper cites Deep network approximation: Beyond relu to diverse activation functions.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Deep network approximation: Beyond relu to diverse activation functions
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.214470Z
Source-reported events for the cited work
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Observation ac14f46e-b154-41b9-a268-613404d3455a · outbound
This paper cites Deep network approximation: Achieving arbitrary accuracy with fixed number of neurons.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Deep network approximation: Achieving arbitrary accuracy with fixed number of neurons
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.199578Z
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.
Observation bfb515a4-9b17-48ee-a624-7e4cfe2a3bc7 · outbound
This paper cites Neural network architecture beyond width and depth.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Neural network architecture beyond width and depth
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.184726Z
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.
Observation 24ad74cd-db87-40aa-96fa-bd11e62e14d0 · outbound
This paper cites Physics-informed neu- ral networks with hybrid kolmogorov-arnold network and augmented lagrangian function for solving partial differential equations.
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Physics-informed neu- ral networks with hybrid kolmogorov-arnold network and augmented lagrangian function for solving partial differential equations
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:38:35.039830Z
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.
Pith citing papers
Observation 8b318f53-9e8b-4d2b-878f-22d201137ca9 · inbound
Model Risk in Machine-Learning Distributional IV Estimation cites this paper.
Model Risk in Machine-Learning Distributional IV Estimation Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:48.433653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aabbda40-d59b-4241-ab4c-f902a58e3daf · inbound
A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.
A Practitioner's Guide to Kolmogorov-Arnold Networks Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 281
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:30:50.383571Z
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.
Observation e6c1b0b8-92ba-4a42-acb0-1fae90988fdd · inbound
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks cites this paper.
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:11:19.529105Z
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.
Observation 7971fb3d-efd0-4825-96b6-8ced52bd1aac · inbound
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks cites this paper.
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:59:15.296038Z
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.
Observation 2c9836ed-2a7e-42b2-b623-504d9dc62304 · inbound
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks cites this paper.
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:35:39.317155Z
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.
Observation 5f2ce4fa-ebfe-49b9-b41b-1a2bb72680d8 · inbound
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis cites this paper.
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:20.571989Z
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.
Observation 455c183e-12a9-40ce-a065-217c32e0460f · inbound
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis cites this paper.
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:44:48.131603Z
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.