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Paper Citation Record · LEDGER

Koopman Operators in Robot Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.04200.

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

pith.paper-citation-record.v1
2408.04200 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:32:56.537411Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bae931a2-3f97-441f-85f7-62c164186fea · inbound

Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing cites this paper.

Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing Koopman Operators in Robot Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:37:12.482938Z

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=pdf_text observed=2026-05-22T22:37:07.608847Z digest=sha256:bc73dc5854e8ccfa07484f52da6e36d60a3928b02540355aa00c9f08a44d5398

Observation 095ceb6a-d8c3-4544-b057-6a937379a6b3 · inbound

Extracting transient Koopman modes from short-term weather simulations with sparsity-promoting dynamic mode decomposition cites this paper.

Extracting transient Koopman modes from short-term weather simulations with sparsity-promoting dynamic mode decomposition Koopman Operators in Robot Learning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:12:14.619481Z

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=pdf_text observed=2026-05-19T10:07:17.688238Z digest=sha256:c60e80e95e73b16c030cc2dec9f1724ee7fa49a1a4f90a6fb0c7bdfcb982a01d

Observation 64e63271-d7f9-4331-85b9-11cf89e701e7 · 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 Koopman Operators in Robot Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T11:32:56.537411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:32:56.537411Z digest=sha256:e96bbf8ff17155399fcb87ae0afb294b90040f1c77188971dcc31459805938a8

Observation 1dea09d4-ffd1-4a6c-9eea-db079ae6b392 · inbound

KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting cites this paper.

KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting Koopman Operators in Robot Learning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:07:26.429089Z

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=pdf_text observed=2026-06-27T19:11:15.490486Z digest=sha256:d5ef204f1599b0eb2538f0a8943644dca28ba814d789cb25fbb4c27a3334e741

Observation edaaf2c4-7f5a-4b77-b413-04f1e0498576 · inbound

Learning the Koopman Operator using Attention Free Transformers cites this paper.

Learning the Koopman Operator using Attention Free Transformers Koopman Operators in Robot Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:59:15.437470Z

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=2026-06-26T08:49:32.561520Z digest=sha256:e2e62d03311bb076db0c09d6db7a680904aa99524377180cd8df01f175171866

Observation d13860ce-f2aa-4ce7-ae05-ed9377244438 · 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 Koopman Operators in Robot Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T00:11:34.262197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:11:34.262197Z digest=sha256:2f577210eba4ef1513d956c5674f7f8cd03ab3fb38e8430d5782f657d8d6ae7d

Observation 42b6694b-dabc-410c-b2bc-7e35dbbc8d0a · 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 Koopman Operators in Robot Learning

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-01T17:24:15.057398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:24:15.057398Z digest=sha256:773ee48621c29e5fc5ba6c3687e99a6dcfba4d402e21393a2eb2d55578d36ff5