Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Benefits of Model-Based Generalization in Reinforcement Learning
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.02222.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T21:04:13.166324Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:21:26.082096Z
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 110e2edc-ef02-455c-b69d-cfd2c7b35601 · inbound
Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions cites this paper.
Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions The Benefits of Model-Based Generalization in Reinforcement Learning
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:40:41.279962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4930d6a2-e324-4fa0-a08d-eca3e146ee5d · inbound
Learning to Theorize the World from Observation cites this paper.
Learning to Theorize the World from Observation The Benefits of Model-Based Generalization in Reinforcement Learning
Reference 288
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:21:26.089767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d59d1aa4-e79c-459f-8521-3356045c9050 · inbound
When to Plan: Learning to Select Between Reactive Control and Deliberative Planning cites this paper.
When to Plan: Learning to Select Between Reactive Control and Deliberative Planning The Benefits of Model-Based Generalization in Reinforcement Learning
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:04:13.166324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f093cc6-6427-4f78-ab61-69444a4982ce · inbound
World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models cites this paper.
World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models The Benefits of Model-Based Generalization in Reinforcement Learning
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:59:39.399377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.