Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.02917.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:05:20.322044Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T15:44:48.287970Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 5a39b5a4-0f19-4003-a756-d70ae691a0f4 · inbound
Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b9d5e1b4-c62a-40e0-ae3a-1818f130cc73 · inbound
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cbc9139-6d97-4499-ba2a-a07ed31f8d0e · inbound
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5213f60a-56e1-4a92-ae6c-62c654983778 · inbound
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 1958
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8444af0c-c2f2-434d-94d0-a55a44ac7eb1 · inbound
Kolmogorov-Arnold Network for Gene Regulatory Network Inference A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 58
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4caa1631-1145-4192-9c4a-b0c2bde857d7 · inbound
Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7fd58aad-2157-4a8c-bdff-1a974e07b1dc · inbound
Fourier Feature Pyramids for Physics-Informed Neural Networks A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f2300b72-c1b9-4994-b2f7-09d84d1b919f · inbound
PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7efc447-1f4b-4044-b3a7-60af5ccbe3bc · inbound
Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Reference 114
Source-reported events for the cited work
Unavailable: canonical work link unavailable.