Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.03858.
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 2026-08-06T17:57:08.479427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:49:42.728797Z
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 e92862b9-56d9-4376-a099-f060a734323b · inbound
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Reference 126
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:33:21.389662Z
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 f5d71691-64c1-4048-835c-aab0ea2216d4 · inbound
GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.
GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:57:08.479427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 140cb2e1-d46a-4107-9d2a-0d7bdf74cdc2 · inbound
Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds cites this paper.
Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:15:00.357769Z
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 adc0facc-3b29-4acc-9844-7cb51bf8452a · inbound
Stationary Robust Mean-Field Games under Model Mismatches cites this paper.
Stationary Robust Mean-Field Games under Model Mismatches Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Reference 223
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:49:42.730126Z
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 52c40649-af1c-4ab9-9e9f-74619d1c96a5 · inbound
DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning cites this paper.
DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:28:15.475264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.