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Paper Citation Record · LEDGER

Model-Based Control Using Koopman Operators

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1709.01568.

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

pith.paper-citation-record.v1
1709.01568 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:27:26.368713Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:37:29.905690Z

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 aaae9588-2242-42df-94df-64fdbe712852 · inbound

Loss Terms and Operator Forms of Koopman Autoencoders cites this paper.

Loss Terms and Operator Forms of Koopman Autoencoders Model-Based Control Using Koopman Operators

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T21:27:26.368713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:27:26.368713Z digest=sha256:71ab300a3a8b2f6f6359737e8ff6bd1178ff162601f4a8e20a0e32c560fc8914

Observation 824c9b36-eae7-4479-b640-889b689d3891 · inbound

Some Best Practices in Operator Learning cites this paper.

Some Best Practices in Operator Learning Model-Based Control Using Koopman Operators

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.391881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:24:03.391881Z digest=sha256:f0d8307c0ea81a94ae78660a4159fc3196a50668acd2a6b75371b0ad8cd1529d

Observation 318c6c05-918c-486a-a982-9bf4b8256e1b · inbound

Adversarial Autoencoders in Operator Learning cites this paper.

Adversarial Autoencoders in Operator Learning Model-Based Control Using Koopman Operators

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T19:07:05.577165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:07:05.577165Z digest=sha256:fd5b249dfa8ca343267e4c1f164fff303a815c122af471ad2363da4baaab4912

Observation 9415e2ee-7041-4850-8d90-da478ab19611 · inbound

Koopman Model Dimension Reduction via Variational Bayesian Inference and Graph Search cites this paper.

Koopman Model Dimension Reduction via Variational Bayesian Inference and Graph Search Model-Based Control Using Koopman Operators

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T11:32:56.906884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:32:56.906884Z digest=sha256:f48f7077bd4f5c6c5c51d5932c429bb38bed17099c58b160627c75d8c7795a14

Observation 706e3ad7-277f-494e-ae24-466495508983 · inbound

Going with the Flow: Koopman Behavioral Models as Pseudo Planners for Visuo-Motor Dexterity cites this paper.

Going with the Flow: Koopman Behavioral Models as Pseudo Planners for Visuo-Motor Dexterity Model-Based Control Using Koopman Operators

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T03:41:53.235440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:41:53.235440Z digest=sha256:08a7ba5343f2d762e40a3f702783d7dafaa4a3ce7e3a83a3f492013e9199f371

Observation 3cb60ec7-f2e2-4063-bf01-e9a1df367efd · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Model-Based Control Using Koopman Operators

Reference 144

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:37:29.907262Z

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.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:23e3b2fe8362ab43cbb3f890058c9b58d2c530a3145a7fb13a07724425365322

Observation 38605bb0-ab77-46d8-8a27-80ee967a9f57 · inbound

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts cites this paper.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Model-Based Control Using Koopman Operators

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T00:11:30.378971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:11:30.378971Z digest=sha256:91ce39e3c78bd37b444e2fe6c416d06245b5db31326446e4a820625e26c4fe03

Observation 8c124904-a307-47d7-8b9c-adbbd3560ff5 · inbound

Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret cites this paper.

Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret Model-Based Control Using Koopman Operators

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-01T17:24:14.694542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:24:14.694542Z digest=sha256:778a824e1538ff5ead2e708ddad8d75f8c4d49035ba7eb047895d8b5eb5b973f