Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2003.00660.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:15:39.400708Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T21:49:05.121734Z
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 ea934780-7093-4ed6-a720-c115cb550850 · inbound
From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning cites this paper.
From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:49:05.123359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b773623a-9b5b-495f-8773-dc62c8796fa8 · inbound
Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints cites this paper.
Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:39:03.463271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ff425413-1001-4113-b8cb-e99955ae9f16 · inbound
Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning cites this paper.
Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:15:39.400708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.