Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2208.06721.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:06:51.347062Z
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
6
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 4ee89a59-0ce1-4cb1-b184-e3eb25baa977 · inbound
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning cites this paper.
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:06:51.347062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27ab88ee-2b3d-42f3-8844-7d79ac2833d4 · inbound
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning cites this paper.
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:31:10.765781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3030c1f6-6e9a-445d-8e5e-86024e679d34 · inbound
A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions cites this paper.
A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:41:53.784062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2385aec5-d5c6-48f6-8ec8-0f6ef28bc278 · inbound
Control Synthesis with Reinforcement Learning: A Modeling Perspective cites this paper.
Control Synthesis with Reinforcement Learning: A Modeling Perspective Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:37:46.494550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50053440-0409-4e53-8976-98039b2a97c5 · inbound
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation cites this paper.
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:49:54.492689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e6cfdbf9-b34f-47ad-983e-6670e4f1ef22 · inbound
OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation cites this paper.
OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T17:38:48.195295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 60d1a9fd-0605-4e4b-a1a0-10f57b2df28c · inbound
OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation cites this paper.
OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:45:00.844455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7bb83e81-2663-4ccb-bccc-936aaca84f71 · inbound
Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System cites this paper.
Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T11:39:24.466295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d22a29e8-4459-4ea7-bc63-e80ebe746f6b · inbound
MPC-Injection: Biasing Off-Policy Locomotion RL Toward Controller-Induced Behavior Basins cites this paper.
MPC-Injection: Biasing Off-Policy Locomotion RL Toward Controller-Induced Behavior Basins Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T02:18:55.808081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.