Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.06487.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:34:01.965749Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:31:08.422311Z
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 6f1bc58c-a35c-4fa4-a565-7dc90dcc5f57 · inbound
StaQ it! Growing neural networks for Policy Mirror Descent cites this paper.
StaQ it! Growing neural networks for Policy Mirror Descent Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:34:01.965749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d088f7c7-5f19-4ea5-a0b3-35d00bd2887e · inbound
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control cites this paper.
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:31:08.425853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5837f5c2-4c72-4f00-98e0-e0f509e345b8 · inbound
Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning cites this paper.
Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:19:58.566038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.