Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.20476.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T20:06:55.615562Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T21:11:16.804120Z
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 b59c09ec-9c11-48b0-96f7-51ad64493e79 · inbound
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making cites this paper.
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:11:16.806116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4a81f4db-d3ab-4fef-9561-94ca01a104ec · inbound
Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation cites this paper.
Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:06:55.615562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc510e4b-cd95-457e-bd1e-7b5ef743bf69 · inbound
GRACE: Gradient-Free Robot Action Generation via Combined Diffusion-MPPI Posterior Mean Estimation cites this paper.
GRACE: Gradient-Free Robot Action Generation via Combined Diffusion-MPPI Posterior Mean Estimation Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:28:05.378097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.