Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.19548.
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 2026-08-10T18:11:48.379650Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:59:06.802881Z
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 1e25d790-0519-4b90-9ac4-d1039058dc05 · inbound
The impact of intrinsic rewards on exploration in Reinforcement Learning cites this paper.
The impact of intrinsic rewards on exploration in Reinforcement Learning RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:11:48.379650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3e1a87a-8f8a-406a-abc1-4777764238e2 · inbound
Deep Reinforcement Learning with Hybrid Intrinsic Reward Model cites this paper.
Deep Reinforcement Learning with Hybrid Intrinsic Reward Model RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:04:31.880479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abccf5f8-e663-4010-96ac-0ada649605aa · inbound
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning cites this paper.
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:42:03.329662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fadd1b62-43d5-4422-b18e-e11d56cafc0f · inbound
Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards cites this paper.
Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:59:06.805552Z
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 08276c68-31e2-4c9c-8b9d-b8049b0d8df7 · inbound
Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.
Information-Based Exploration via Random Features for Reinforcement Learning RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:35:02.627631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.