Paper Citation Record · LEDGER

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1807.03858.

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

pith.paper-citation-record.v1
1807.03858 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:18:25.033668Z

measured 0 of 1 external citation measurements

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 54828f07-5e14-408f-913b-84ea4fc2d222 · inbound

Reinforcement learning with world model cites this paper.

Reinforcement learning with world model Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T10:18:25.033668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

Observation 278ad961-a352-4150-91e5-0bf82c1a9bd6 · inbound

Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm cites this paper.

Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:45.797201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7381fb9-0998-4cf9-9e7b-b5bc5285c746 · inbound

Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning cites this paper.

Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:16.041618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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.