Paper Citation Record · LEDGER

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2604.01459.

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

pith.paper-citation-record.v1
2604.01459 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T14:24:40.195364Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

22 of 22 outbound references displayed

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Outbound references

Observation 6da8f38e-33aa-4173-84ae-5021e5f0b76e · outbound

This paper cites Mauroy, Y.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Mauroy, Y

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159a2378-ee71-43f1-ab22-76c311e739df · outbound

This paper cites A data- driven approximation of the Koopman operator: Extending dynamic mode decomposition,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors A data- driven approximation of the Koopman operator: Extending dynamic mode decomposition,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a375fb-3a7f-4570-8ee5-07f5a090b927 · outbound

This paper cites A kernel- based method for data-driven Koopman spectral analysis,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors A kernel- based method for data-driven Koopman spectral analysis,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Unavailable: canonical work link unavailable.

Observation 7567b2f9-2247-40bd-a097-eaa13ed79226 · outbound

This paper cites L∞-error bounds for approximations of the Koopman operator by kernel extended dynamic mode decomposition,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors L∞-error bounds for approximations of the Koopman operator by kernel extended dynamic mode decomposition,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c52c3f8b-45ad-4eb3-84de-9e353dec0a82 · outbound

This paper cites Estimating Koopman operators with sketching to prov- ably learn large scale dynamical systems,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Estimating Koopman operators with sketching to prov- ably learn large scale dynamical systems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6325c66-6f27-4ded-b8e1-f6f9c2073a4f · outbound

This paper cites Efficient approximation of molecular kinetics using random Fourier features,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Efficient approximation of molecular kinetics using random Fourier features,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e874855-2490-4cb0-b746-e955b948a619 · outbound

This paper cites Modeling nonlinear control systems via Koopman control family: universal forms and subspace invariance proximity,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Modeling nonlinear control systems via Koopman control family: universal forms and subspace invariance proximity,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 173e93bb-6cb3-4c59-9bc7-474296368bca · outbound

This paper cites Invariance Proximity: Closed-Form Error Bounds for Finite-Dimensional Koopman-Based Models.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Invariance Proximity: Closed-Form Error Bounds for Finite-Dimensional Koopman-Based Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Unavailable: canonical work link unavailable.

Observation 09cf5924-e916-4d00-949e-ce02ed7748e2 · outbound

This paper cites Recursive forward-backward EDMD: Guar- anteed algebraic search for Koopman invariant subspaces,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Recursive forward-backward EDMD: Guar- anteed algebraic search for Koopman invariant subspaces,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5272e0a1-5d02-4b60-86c3-2a8b86433377 · outbound

This paper cites A unified algebraic framework for subspace pruning in Koopman operator approximation via principal vectors,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors A unified algebraic framework for subspace pruning in Koopman operator approximation via principal vectors,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Observation 87a36904-2daa-4a6c-8a91-832817bd7bbb · outbound

This paper cites An overview of Koopman-based control: From error bounds to closed-loop guarantees,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors An overview of Koopman-based control: From error bounds to closed-loop guarantees,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d2fbfb4-242d-41e5-936c-bf460e2478a2 · outbound

This paper cites Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee2b75b-b057-4380-aa4f-d158c6e2d9a2 · outbound

This paper cites Another look at residual dynamic mode decomposi- tion in the regime of fewer snapshots than dictionary size,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Another look at residual dynamic mode decomposi- tion in the regime of fewer snapshots than dictionary size,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50fa36d9-d990-4918-b74d-6d951c3f620b · outbound

This paper cites Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 172613ef-6776-4061-bc79-2708f172f783 · outbound

This paper cites Trustworthy Koopman Operator Learning: Invariance Di- agnostics and Error Bounds,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Trustworthy Koopman Operator Learning: Invariance Di- agnostics and Error Bounds,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Observation 39c698dc-7042-4dea-9cb6-826bed0907c9 · outbound

This paper cites Numerical methods for computing angles between linear subspaces,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Numerical methods for computing angles between linear subspaces,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21dec797-d359-46fe-9c6a-9a8debd509a7 · outbound

This paper cites A primer on reproducing kernel Hilbert spaces,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors A primer on reproducing kernel Hilbert spaces,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Observation 62fd9d17-e7b4-4b5a-ad64-d00009a0123e · outbound

This paper cites Using the Nystr ¨om method to speed up kernel machines,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Using the Nystr ¨om method to speed up kernel machines,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e566b00-2846-4980-ba5f-e63664384a3f · outbound

This paper cites Revisiting the Nystr ¨om method for improved large-scale machine learning,.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Revisiting the Nystr ¨om method for improved large-scale machine learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

Source-reported events for the cited work

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Observation 0bb4f359-4a91-49fb-9b9d-4f38cea04af6 · outbound

This paper cites an unresolved cited work.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Observation 4d7de33e-a7a7-4f30-9042-a1df3a1c7dbe · outbound

This paper cites an unresolved cited work.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Observation 2f33e9b0-c3cf-4a31-9c4c-1ebe0e84a556 · outbound

This paper cites Wendland,Scattered data approximation, vol.

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors Wendland,Scattered data approximation, vol

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T14:24:40.195364Z

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Pith citing papers

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