Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:42:18.417323Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 100 of 122 outbound references and 1 inbound Pith citation observation for arXiv:2412.11761.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:42:18.417323Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T05:42:57.561468Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:42:58.278828Z
100 of 122 outbound references displayed
External citation measurements
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Observation 90065998-07b0-4a3d-b553-b01d42073ca2 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Investigating Agency of LLMs in Human-AI Collaboration Tasks,
Reference 1
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning,
Reference 2
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Human-level play in the game of Diplomacy by combining language models with strategic reasoning,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Strategic behavior of large language models and the role of game structure versus contextual framing,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control The StarCraft Multi-Agent Challenge,
Reference 9
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Monotonic Value Function Factorisation for Deep Multi- Agent Reinforcement Learning,
Reference 10
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning,
Reference 12
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control JaxMARL: Multi- Agent RL Environments in JAX,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Large Language Model based Multi-Agents: A Survey of Progress and Challenges,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy,
Reference 17
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Reference 19
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment,
Reference 20
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long- Range Reasoning Problems using LLMs,
Reference 21
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Reference 22
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Towards Vision-Language Geo-Foundation Model: A Survey,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Vision language models are blind,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control JAX: composable transformations of Python+NumPy pro- grams,
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Reference 26
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Theory-based approach for assessing cognitive load during time- critical resource-managing human–computer interactions: An eye- tracking study,
Reference 27
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Observation 6fe78808-7e05-4e7d-9b21-471e8f793846 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Colledanchise and P
Reference 28
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Observation 964e6356-8c0f-4e6a-8f51-162e8a871c04 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control GPT-4 Technical Report
Reference 29
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Observation 951aaa1f-b1c7-4a60-bc7b-40b4db05774f · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control The claude 3 model family: Opus, sonnet, haiku,
Reference 30
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Observation ad9748f7-c88e-4f46-a079-e097fa9ab581 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Gemini: A Family of Highly Capable Multimodal Models
Reference 31
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control The Llama 3 Herd of Models
Reference 32
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models
Reference 33
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Observation 65326ff4-12c5-4f48-9799-ebf2e52af946 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control A survey on llm-based code generation for low-resource and domain-specific programming languages,
Reference 34
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Reference 37
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Reference 38
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 39
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Geogpt: An assistant for understanding and processing geospatial tasks,
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Are large vision language models good game players?
Reference 42
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Reference 64
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Judisiously place our long range units so that they protected by our close range units
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Ensure to place our archers so that they in far range of the enemies
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Make sure to place our archers so that they are not in close combat
Reference 75
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Make sure to place our long range units so that they protected by our close range units
Reference 76
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Judisiously place our archers so that they in far range of the enemies
Reference 77
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Observation 6ef0b407-cfe2-4cfd-bb9f-9301e4f28c00 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Make sure to place our archers so that they in far range of the enemies
Reference 78
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 79
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Reference 80
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 81
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 82
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 83
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 84
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 85
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 86
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 87
Source-reported events for the cited work
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Observation 990b1095-9997-4590-b92b-2176c9c77bcc · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 88
Source-reported events for the cited work
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Observation 4badb72b-2bcc-41bf-a818-46c0f20cadfb · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 89
Source-reported events for the cited work
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Observation 21ef21fe-6713-4b4a-bcc0-50929347c72c · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 90
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e16af3b8-9dfe-41ac-bacc-7c82f5d62241 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 800c53fb-6637-4bf4-949e-2c6125710b4a · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 93
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5a7b8ef0-ed70-4115-958a-efcf8117d040 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 94
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation de3d3a69-9b81-42c7-88fd-cebacd90d3a5 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e9dd2eda-060b-46d1-9a74-2e095eba04c6 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3f4e7caf-12f2-4761-8db9-bf645f33d4f1 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 97
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a42c5f01-d745-420f-8c53-4f5687951128 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation aa287da8-5f19-4625-9831-485bb8da9fc1 · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 65b46785-d5f1-4498-baa8-3c2b5554de0c · outbound
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2bf167ad-24cb-45e8-a4e5-9a886f6d5e15 · inbound
Why Do Multi-Agent LLM Systems Fail? Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.