Paper Citation Record · LEDGER

Gaussian processes for dynamics learning in model predictive control

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.02310.

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

pith.paper-citation-record.v1
2502.02310 v1

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:13.128468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:42:06.125998Z

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 5e5666b1-b218-4b2e-ae9a-efd74d5c3cc0 · inbound

A robust and adaptive MPC formulation for Gaussian process models cites this paper.

A robust and adaptive MPC formulation for Gaussian process models Gaussian processes for dynamics learning in model predictive control

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:42:06.128558Z

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.

Observation ea3ebc19-22ea-4072-8f3c-1ed567923345 · inbound

Learning, fast and slow: a two-fold algorithm for data-based model adaptation cites this paper.

Learning, fast and slow: a two-fold algorithm for data-based model adaptation Gaussian processes for dynamics learning in model predictive control

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:13.128468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26dd0b27-eeb9-4d1f-8fb8-45207fd2b5e3 · inbound

Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization cites this paper.

Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization Gaussian processes for dynamics learning in model predictive control

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:15:51.834569Z

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.

Observation b9598f14-d531-4231-9f98-51c960968252 · inbound

Diffusion-Residual Model Predictive Steering Control for Vehicle Stabilization at the Limit of Handling under Model Uncertainty cites this paper.

Diffusion-Residual Model Predictive Steering Control for Vehicle Stabilization at the Limit of Handling under Model Uncertainty Gaussian processes for dynamics learning in model predictive control

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T13:17:18.512550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.