Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.18892.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:03.035487Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:56:56.507096Z
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 905e1a6b-bb43-4ddc-b38b-1c52f647d88a · inbound
Generative AI for Autonomous Driving: A Review cites this paper.
Generative AI for Autonomous Driving: A Review A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:24:03.035487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8649973a-e863-46fd-9b3b-8a86ef7f221c · inbound
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:13:51.717425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 329293e8-818e-4d65-b6a0-c902d1e8f14c · inbound
Frequency Resource Management in 6G User-Centric CFmMIMO: A Hybrid Reinforcement Learning and Metaheuristic Approach cites this paper.
Frequency Resource Management in 6G User-Centric CFmMIMO: A Hybrid Reinforcement Learning and Metaheuristic Approach A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:13:05.518697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 160563b1-a527-48d6-a5cd-619c26980934 · inbound
Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees cites this paper.
Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:42:40.287382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5a6f549-c83d-4625-8d52-b403006dc3fc · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 161
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T00:02:25.452439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87812c59-05dd-480d-9180-d7f767a6160c · inbound
Reinforcement Learning Assisted Quantum Simulation of Many-Body Excited States and Real-Time Dynamics cites this paper.
Reinforcement Learning Assisted Quantum Simulation of Many-Body Excited States and Real-Time Dynamics A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:28:12.125836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7550a96b-62b7-4431-afc4-48048639118a · inbound
Trust Region On-Policy Distillation cites this paper.
Trust Region On-Policy Distillation A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T20:56:13.336842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 190a7ef9-50d6-479d-b85a-6fb7661b0e58 · inbound
From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling cites this paper.
From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:55:51.427942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5fd793d5-d6fc-4f7b-9c5c-c60bfd655e3a · inbound
Coachable agents for interactive gameplay cites this paper.
Coachable agents for interactive gameplay A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:56:56.508979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.