Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.06266.
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 2026-08-02T08:18:19.595151Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T20:37:34.127828Z
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 d07fb1fd-90d6-4f60-9f7f-3e78283e4c44 · inbound
CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts cites this paper.
CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T20:37:34.129203Z
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 dcfb5a44-28b2-42fd-a51a-e4faaac09ac2 · inbound
CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts cites this paper.
CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:18:19.595151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 220be712-6399-410b-9dcb-b24aef8a9194 · inbound
AI-Augmented Model Predictive Control for Safe and Adaptive Rendezvous and Proximity Operations cites this paper.
AI-Augmented Model Predictive Control for Safe and Adaptive Rendezvous and Proximity Operations Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:27:51.782477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.