Paper Citation Record · LEDGER

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.16392.

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

pith.paper-citation-record.v1
2506.16392 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:38.817323Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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verified fuzzy18
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da7d0c40-bb48-4bf4-bc9d-ace499a6f010 · outbound

This paper cites Pintelon and J.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Pintelon and J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.099373Z

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Observation 72d3a0c9-8d51-482d-b892-15df7e4faaed · outbound

This paper cites Nonlinear state-space identification using deep encoder networks,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Nonlinear state-space identification using deep encoder networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.088303Z

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Observation 6b77f8ac-96e8-4b30-b10c-8f4d52a996e9 · outbound

This paper cites Deep networks for system identification: A survey,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Deep networks for system identification: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.078083Z

Source-reported events for the cited work

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Observation 6b77d351-79a5-406b-90a8-82e06fd0b479 · outbound

This paper cites Decoupling Multivariate Polynomials for Nonlinear State-Space Models,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Decoupling Multivariate Polynomials for Nonlinear State-Space Models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.066722Z

Source-reported events for the cited work

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Observation 74c6b423-c4a6-40ed-ac80-536ab5195776 · outbound

This paper cites Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.053579Z

Source-reported events for the cited work

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Observation b46564fd-9fe2-4ae8-84b2-aa38a4d8ae3d · outbound

This paper cites Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.039489Z

Source-reported events for the cited work

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Observation aa7cc5a4-4dde-4377-8ca0-17e170deee14 · outbound

This paper cites Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.024019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ff08e15-6476-4c46-b5e1-463d53578611 · outbound

This paper cites KAN: Kolmogorov–arnold networks,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification KAN: Kolmogorov–arnold networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:39.010205Z

Source-reported events for the cited work

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Observation 68168429-c1e1-429e-89dc-89ed3698cd90 · outbound

This paper cites KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.995334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74ef14ad-7f00-49e4-aaae-4d8238493577 · outbound

This paper cites KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:31:38.773046Z

Source-reported events for the cited work

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Observation e3e1c49a-368a-4939-9d28-ce248f2208f4 · outbound

This paper cites A comprehensive and FAIR comparison between MLP and KAN repre- sentations for differential equations and operator networks,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification A comprehensive and FAIR comparison between MLP and KAN repre- sentations for differential equations and operator networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.982623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55746264-f49e-491a-bbb6-62d77977eddd · outbound

This paper cites Nonlinear port-Hamiltonian system identification from input-state-output data.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Nonlinear port-Hamiltonian system identification from input-state-output data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:31:38.781076Z

Source-reported events for the cited work

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Observation 12fe6c9e-89e2-4669-b177-37612620606e · outbound

This paper cites efficientkan,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification efficientkan,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.971123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ca1f765-a8d0-4db5-89bb-93b4eb3cee48 · outbound

This paper cites Decoupled Weight Decay Regularization,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Decoupled Weight Decay Regularization,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:31:38.789999Z

Source-reported events for the cited work

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Observation 819eb150-515b-4265-86f3-670418dc4d91 · outbound

This paper cites Decoupling multivariate functions using a non-parametric Filtered CPD approach,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Decoupling multivariate functions using a non-parametric Filtered CPD approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.951356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6d686f5-da72-451b-b107-31a2f9f951ce · outbound

This paper cites Identification of the Silverbox Benchmark Using Nonlinear State-Space Models,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Identification of the Silverbox Benchmark Using Nonlinear State-Space Models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.934831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0bb18769-5e78-4679-a5e4-682de9cd03a2 · outbound

This paper cites Nonlinear Benchmarks,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Nonlinear Benchmarks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.921385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ee4e5d0-5658-4e18-a335-00b90409ecec · outbound

This paper cites Identification of nonlinear systems using Polynomial Nonlinear State Space models,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Identification of nonlinear systems using Polynomial Nonlinear State Space models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.909603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72dcb8d8-2f12-43cb-bea3-3c6b2644997b · outbound

This paper cites Wiener-hammerstein bench- mark,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Wiener-hammerstein bench- mark,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.896414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b0945c9-2dfa-4b66-adb6-808357e51a97 · outbound

This paper cites Modelling of Wiener- Hammerstein Systems via the Best Linear Approximation,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Modelling of Wiener- Hammerstein Systems via the Best Linear Approximation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.885341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dccd14b4-1cc3-43f9-9289-a1ae0d9cf262 · outbound

This paper cites Identification of a Wiener-Hammerstein system using the polynomial nonlinear state space approach,.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Identification of a Wiener-Hammerstein system using the polynomial nonlinear state space approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:31:38.873050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.