Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Reinforcement Learning using Adversarial Populations
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2008.01825.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T10:50:40.841967Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:49:42.788554Z
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 cb336866-af48-4b62-b504-530e9a45882e · inbound
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning cites this paper.
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Robust Reinforcement Learning using Adversarial Populations
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:25:20.422549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5cb617dd-44fd-407f-a252-7838b2959ade · inbound
Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.
Robust Policy Optimization to Prevent Catastrophic Forgetting Robust Reinforcement Learning using Adversarial Populations
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:37:24.352963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bbe5da3d-ddfa-4453-8b81-686c77b6fe1a · inbound
Robust Adversarial Policy Optimization Under Dynamics Uncertainty cites this paper.
Robust Adversarial Policy Optimization Under Dynamics Uncertainty Robust Reinforcement Learning using Adversarial Populations
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:03.620880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ea523736-29b2-4300-bd4e-97bbcbf9ba27 · inbound
Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees cites this paper.
Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees Robust Reinforcement Learning using Adversarial Populations
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:40:27.166339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d58fca51-a31e-4fd6-b32d-276979038c38 · inbound
Stationary Robust Mean-Field Games under Model Mismatches cites this paper.
Stationary Robust Mean-Field Games under Model Mismatches Robust Reinforcement Learning using Adversarial Populations
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:49:42.790059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.