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Paper Citation Record · LEDGER

Model-Based Control Using Koopman Operators

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:32:56.906884Z

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 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:db7e1e152c9f885f99370513282b0ee556625265aca1547a50c0a5fe8ceab0da

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:bb8e486ed5266b00fa607f2bc864e8ed15c4d5aa728de715b4e35ef01ec391f4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:8ec013398e6d7d7fd05ef35b52891b6f957f9056dcfd57fa52a9b14e370f7f47

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=sha256:2a4e4647fc620923a8aefea6d95547f46f6671a576fb29b60076f872669b800b

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=sha256:4cb08251ef6a5c176b9f7b068c11df074fcc49825eeabe4fc141e337d8b06394