Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.07565.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:54:45.758379Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:53:33.829015Z
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 2402e5d0-0922-48c4-84fb-38a471426a2a · inbound
Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability cites this paper.
Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:53:33.830811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b972b589-e656-446d-807d-5067f6c8cf55 · inbound
Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling cites this paper.
Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:54:45.758379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.