Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploration and Anti-Exploration with Distributional Random Network Distillation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.09750.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:24:46.194807Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T11:51:20.168569Z
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 8f552d30-c97f-4eb1-94de-9a26bdbfc608 · inbound
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning cites this paper.
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning Exploration and Anti-Exploration with Distributional Random Network Distillation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:24:46.194807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 993d3e30-6b2c-4ac3-b75d-ea23486c921c · inbound
Offline Reinforcement Learning with Penalized Action Noise Injection cites this paper.
Offline Reinforcement Learning with Penalized Action Noise Injection Exploration and Anti-Exploration with Distributional Random Network Distillation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:38:35.625180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73993afe-7cd8-40dd-8d48-f2bc7bafdf6a · 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 Exploration and Anti-Exploration with Distributional Random Network Distillation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:42:03.316515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd8018ef-90aa-4245-8426-0573690ce471 · inbound
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring cites this paper.
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring Exploration and Anti-Exploration with Distributional Random Network Distillation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:51:20.172000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cce06467-27f8-4fea-b403-c81ef45a05e7 · inbound
Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.
Information-Based Exploration via Random Features for Reinforcement Learning Exploration and Anti-Exploration with Distributional Random Network Distillation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:35:03.014320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.