Pith. sign in

Paper Citation Record · LEDGER

Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors

As of 23 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 2026-08-23T06:30:58.430688+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

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:f7ca4fa41da47aabe8b78fed8ce3a039c7ab2a33923da2c22bd8ce93cf9e0645

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:dc19c93b3c7aab3f3d7ceab73951c2cbe9d27d267d710beec1fd15c1ef6017bb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:d5678831fa1df776e6c6e1525a5186c0b8fbd5b730e5fbd9d8e582e35122c3e4

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:f61f3a9e73f1e840f1a2ff453c9bbc7e56fd5ae2b6f23f0ad2d50a2e0e9aaec8

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:5fd7f7fcd4ecc33c0b1f4cd91eb66db31fbfe92a95ceb1ab720038889d8eb6ca

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:704b8d687a3ac17ca21ae375b7ca91bf70ba32b42bce8dc7920cb02e98207ea1

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:2e797b40a270eee3876bfe9fd112593fd7e3b619ef6929543161993dac446d04

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:33e3ae7b7046d88fed2f9f94ce5bc3e34c02ef03ffa1eb7b17cf264532dc23d9

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:b24254628d13c57460a8564e2bef40d3f68d6ff29f685246c80f264413c123a0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:e4a20348fe8f21bc40092b7e277d8e69141117927a02891b708932002b52e61e

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:b34333c335a01af6d8e70a6cc2020b34307c08f551976f7eda937ea8c4fc4a6d

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:0450fe80aba3ca9de7b642497c8ec8d3451df9307b88f4a087698f900a90ed60

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:dd8f0935c1f7cda607b934b46e1acc5fda82dd5df4397431563e26215ef3ce9b

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:a793bced8788c9cd0dfa1985b738e760e07103951e23696686315c5cb86e612f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:ccc711cfe65d97a560c9f8a4eb01e2d2c89963d97d8a07f2451f169dcf35e0c9

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:16e5d58d4256eb9c898b0dd83e8b21ad77f4387cdd2d62b49aa6eebd32f0ade9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:5f081f4035a6c2bd51efac41b1d95c320447ff43e43ea10244b1dbcca4b45a77

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.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:1da85fa9514e8ea4e8ce80044891eb1026d62097b88abc4c7250a7786f1cdf2a

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:a93e2db635860e6d0aeb351ec2776ca77fab752da808b8c2f18acb7946ecc758

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:4581f03c46f3c2eef7e2cd850232234fa0685c9afd539b3f220799d4f1e94820

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:23c0b71c075c875327c295dc3d15f8c136404e3e75626a931abb439c753f16ed

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:24:40.195364Z digest=sha256:689ba2a0af865e4a0320af19f7125b297fd6bb01a9f6a2e1989b1d2f95f69a38

Pith citing papers

No inbound Pith citation observations are available.