Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Policy Optimization in Deep Reinforcement Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.07536.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:58.559435Z
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
2
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 217fafc5-d441-4cde-a5b1-50b4c0ab6376 · inbound
Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic cites this paper.
Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic Robust Policy Optimization in Deep Reinforcement Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:35:58.559435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7f800f9-1ab3-4467-a583-d9b4a07965cd · inbound
Real-Time Execution of Action Chunking Flow Policies cites this paper.
Real-Time Execution of Action Chunking Flow Policies Robust Policy Optimization in Deep Reinforcement Learning
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T14:18:51.659871Z
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 9224248e-99b7-44a1-9f02-2b490040456b · inbound
Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines cites this paper.
Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines Robust Policy Optimization in Deep Reinforcement Learning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:24:00.404680Z
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.