Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Resetting the Optimizer in Deep RL: An Empirical Study
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.17833.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:48:44.737121Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1b113a88-50f6-4d46-bf17-0dda1f52829a · inbound
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps cites this paper.
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Resetting the Optimizer in Deep RL: An Empirical Study
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:51:10.163332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a497dff-faa4-4c43-a8b6-27888db969a9 · inbound
Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning cites this paper.
Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning Resetting the Optimizer in Deep RL: An Empirical Study
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:41:45.466573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2ee77a5a-2619-40d5-a0fd-0aa89e696a3b · inbound
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Resetting the Optimizer in Deep RL: An Empirical Study
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:48:44.737121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.