Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bigger, Better, Faster: Human-level Atari with human-level efficiency
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.19452.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T14:59:45.036007Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:41:24.582052Z
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 052ab2dc-06d2-4764-95ba-ddd630e532aa · inbound
Improving Transformer World Models for Data-Efficient RL cites this paper.
Improving Transformer World Models for Data-Efficient RL Bigger, Better, Faster: Human-level Atari with human-level efficiency
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:59:45.036007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2f1f8d1-f3ba-4ee3-a3e9-b0a4e6212f51 · inbound
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization cites this paper.
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization Bigger, Better, Faster: Human-level Atari with human-level efficiency
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:32:20.107232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32c85167-3414-4d21-9124-6089bf9e1e07 · 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 Bigger, Better, Faster: Human-level Atari with human-level efficiency
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:31:07.855211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 779fc1af-8212-4d87-8a4b-99074842f4de · inbound
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Bigger, Better, Faster: Human-level Atari with human-level efficiency
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:41:07.898966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1fcf6dac-d558-4037-9db6-73faf53fdc34 · inbound
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Bigger, Better, Faster: Human-level Atari with human-level efficiency
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:41:24.591189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.