Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1908.04683.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:51:20.055459Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T01:27:32.016449Z
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 3f058dab-c0e3-4fee-b72b-113b5c2a9a7f · inbound
Mastering Atari with Discrete World Models cites this paper.
Mastering Atari with Discrete World Models Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:27:32.018223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 41ed2bce-0f88-4081-99f2-d5d7b7676aee · inbound
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi cites this paper.
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:51:20.055459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2a56067-4a5d-4bab-9a84-17caabb8e52f · inbound
Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning cites this paper.
Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:16:56.496069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91af73b3-8df4-4f02-aa44-4848b0c413a5 · inbound
Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games cites this paper.
Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Reference 295
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:00:11.585426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.