Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Consistent Dropout for Policy Gradient Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.11818.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T15:43:34.364690Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:02:12.111134Z
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 bfddb482-4e1c-4ee8-9666-7e6fecbebe97 · inbound
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss cites this paper.
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss Consistent Dropout for Policy Gradient Reinforcement Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T15:43:34.364690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebb806e9-5da2-459c-a01a-7461f8db4c42 · inbound
Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning cites this paper.
Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning Consistent Dropout for Policy Gradient Reinforcement Learning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:08:14.610881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a1ab07c-618f-44fa-92e5-9d698c235f37 · inbound
Generalized Locomotion in Out-of-distribution Conditions with Robust Transformer cites this paper.
Generalized Locomotion in Out-of-distribution Conditions with Robust Transformer Consistent Dropout for Policy Gradient Reinforcement Learning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:02:12.117669Z
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.