Paper Citation Record · LEDGER

Bigger, Better, Faster: Human-level Atari with human-level efficiency

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.19452.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.19452 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:32:20.107232Z

measured 0 of 1 external citation measurements

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 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.