Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Planning to Explore via Self-Supervised World Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2005.05960.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:56:58.996781Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:36:29.553602Z
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 50d689c3-7af8-42e6-8c5c-0098513f75a4 · inbound
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning cites this paper.
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning Planning to Explore via Self-Supervised World Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T16:06:09.599466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 773662f9-d94a-4473-a5f5-3550ec1c59ea · inbound
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning cites this paper.
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Planning to Explore via Self-Supervised World Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:56:58.996781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6abdde2a-5b77-46b9-a30c-0b9de74019a4 · inbound
CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.
CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization Planning to Explore via Self-Supervised World Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T03:36:29.554938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.