Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.12902.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:06.049608Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:50:20.865165Z
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 8faf7770-c20d-415e-a71e-c995c1baae75 · inbound
Parseval Regularization for Continual Reinforcement Learning cites this paper.
Parseval Regularization for Continual Reinforcement Learning The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:06.049608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6f886f1-9bf2-4117-9f3f-7428575300d6 · 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 The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:51:10.256991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 571875c3-ff94-44f7-b174-5709bef5efd8 · inbound
Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning cites this paper.
Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:55:36.314199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 945e19ab-25ed-45ef-90d3-58f813481d85 · inbound
How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.
How Should We Meta-Learn Reinforcement Learning Algorithms? The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:48:51.326750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df053920-2b51-4388-9ea0-8c864091e772 · inbound
Understanding Goal Generalisation in Sequential Reinforcement Learning cites this paper.
Understanding Goal Generalisation in Sequential Reinforcement Learning The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:50:20.869640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4ffc922b-e784-4000-9a07-f7fe85d4273d · inbound
Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform cites this paper.
Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T18:18:00.322532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.