Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adaptive Rational Activations to Boost Deep Reinforcement Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.09407.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:25.981495Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:08:43.973653Z
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 5103e1ec-13b2-476c-8558-7d46e14c6eb8 · inbound
A Simple Baseline for Stable and Plastic Neural Networks cites this paper.
A Simple Baseline for Stable and Plastic Neural Networks Adaptive Rational Activations to Boost Deep Reinforcement Learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:42:25.981495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee5aa70b-0af9-4596-a9be-37ac28981dc3 · inbound
Activation Function Design Sustains Plasticity in Continual Learning cites this paper.
Activation Function Design Sustains Plasticity in Continual Learning Adaptive Rational Activations to Boost Deep Reinforcement Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:01:23.599848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e3ec0ea-1a22-4cad-be7d-38126e9a99dd · inbound
Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning cites this paper.
Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Adaptive Rational Activations to Boost Deep Reinforcement Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:05:08.922723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 36e7c68b-e188-4b7f-91fd-ef063c510d02 · inbound
Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning cites this paper.
Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Adaptive Rational Activations to Boost Deep Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T19:46:39.624903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cf50272-b609-4bca-84de-75f626569c15 · inbound
Rational Sparse Autoencoder cites this paper.
Rational Sparse Autoencoder Adaptive Rational Activations to Boost Deep Reinforcement Learning
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T17:08:43.975197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.