Paper Citation Record · LEDGER

Exploration and Anti-Exploration with Distributional Random Network Distillation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.09750.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.09750 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:38:35.625180Z

measured 0 of 1 external citation measurements

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 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 2026-08-08T06:32:00.761636+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.