Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Reinforcement Learning with Plasticity Injection
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.15555.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:06.008808Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:31:08.199803Z
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 f807b444-6cfd-4e13-986d-7a2a7f748f95 · inbound
Parseval Regularization for Continual Reinforcement Learning cites this paper.
Parseval Regularization for Continual Reinforcement Learning Deep Reinforcement Learning with Plasticity Injection
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:06.008808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d82fa3a-2e1b-4bef-99d2-a9fc456a2cb8 · 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 Deep Reinforcement Learning with Plasticity Injection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:51:10.260777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce269abf-50d2-4818-a532-fffc5ed804ab · inbound
SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning cites this paper.
SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning Deep Reinforcement Learning with Plasticity Injection
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:24:21.890658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cace0f27-cf37-4aed-8e64-ca26e1e72b3b · 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 Deep Reinforcement Learning with Plasticity Injection
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:31:08.203321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.