Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.08701.
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 2026-08-01T16:35:01.545915Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T11:51:20.188929Z
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 a50291c3-0613-48ff-8859-ab6ecb98a409 · inbound
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring cites this paper.
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:51:20.193284Z
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 f31a18ad-73b8-49f9-bb7e-fd928f84fe33 · inbound
Exploring Temporal Representation in Neural Processes for Multimodal Action Prediction cites this paper.
Exploring Temporal Representation in Neural Processes for Multimodal Action Prediction Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:51:11.251613Z
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 c5a96ead-c3ef-4b8c-8e2b-fbbe31bc5c2b · inbound
Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.
Information-Based Exploration via Random Features for Reinforcement Learning Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:35:01.545915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.