Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.13884.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:08:58.456089Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:55:44.576047Z
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 f4eec95e-944f-413b-8f3d-1a9c01daa470 · inbound
MASTER: A Multi-Agent System with LLM Specialized MCTS cites this paper.
MASTER: A Multi-Agent System with LLM Specialized MCTS Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:19:25.983339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f41cb989-64c9-4b05-bcb9-4afd1b2110d5 · inbound
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability cites this paper.
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:08:58.456089Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42bd45a7-6c6c-427f-b7b7-9e17c52e4664 · inbound
NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence cites this paper.
NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:07:31.100517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f2c9072-3133-4f65-a8a2-82a31f13d5f1 · inbound
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering cites this paper.
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:53:22.525817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fca70169-69c1-47d5-96e9-f7073477ed64 · inbound
Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing cites this paper.
Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:28.667152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 827ac60a-c260-41ed-bf74-2b7d93d6fe22 · inbound
ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing cites this paper.
ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:18.029191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 472a3cc8-de4a-4b05-8766-b80fb2efa25a · inbound
Enhancing Decision-Making of Large Language Models via Actor-Critic cites this paper.
Enhancing Decision-Making of Large Language Models via Actor-Critic Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:55:44.581052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.