Paper Citation Record · LEDGER

Data-driven discovery of Koopman eigenfunctions for control

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1707.01146.

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

pith.paper-citation-record.v1
1707.01146 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:00:09.978469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:53:15.929770Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 38a8d3b2-3ddc-4b83-9d73-1f22833b2115 · inbound

Koopman Representations of Dynamic Systems with Control cites this paper.

Koopman Representations of Dynamic Systems with Control Data-driven discovery of Koopman eigenfunctions for control

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T15:00:09.978469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c7657a-a5bc-4076-863f-2ce75441d7e8 · inbound

Learning Koopman Eigenfunctions and Invariant Subspaces from Data: Symmetric Subspace Decomposition cites this paper.

Learning Koopman Eigenfunctions and Invariant Subspaces from Data: Symmetric Subspace Decomposition Data-driven discovery of Koopman eigenfunctions for control

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T05:28:29.641144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7438863d-3f3c-41d1-9d91-e00045582cf7 · inbound

Operator-Theoretic Methods for Differential Games cites this paper.

Operator-Theoretic Methods for Differential Games Data-driven discovery of Koopman eigenfunctions for control

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:04.833010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc72106-e1d9-4197-bbed-e569e7d9f4eb · inbound

Data-Driven Dynamic Modeling of a Tendon-Actuated Continuum Robot cites this paper.

Data-Driven Dynamic Modeling of a Tendon-Actuated Continuum Robot Data-driven discovery of Koopman eigenfunctions for control

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:53:15.931422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.