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Paper Citation Record · LEDGER

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control

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.

pith.paper-citation-record.v1
2412.11761 v2

Coverage vector

measured 100 of 122 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:42:18.417323Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:42:57.561468Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T05:42:58.278828Z

Reference resolution

100 of 122 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved76
  • parse uncertain3
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90065998-07b0-4a3d-b553-b01d42073ca2 · outbound

This paper cites Investigating Agency of LLMs in Human-AI Collaboration Tasks,.

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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source=pdf_text observed=2026-08-11T14:42:18.080195Z digest=sha256:cde15a8afce4373fd8c4bd13e690e2d40e64fc2c81a1631647b5e912961fb8e7

Observation 74194e4e-6ff0-4e41-96de-312636e61fa4 · outbound

This paper cites Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning,.

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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Observation a09d5af5-7e1f-4355-b794-999c0fe4ea86 · outbound

This paper cites Human-level play in the game of Diplomacy by combining language models with strategic reasoning,.

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,

Reference 3

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source=pdf_text observed=2026-08-11T14:42:18.088623Z digest=sha256:15aafbfafe909a31cb1a46dcc36bb01b63c58fea9f18b1685c751c26776b344e

Observation 28e11a4c-2bcb-4778-b6f4-50fbe212764c · outbound

This paper cites Strategic behavior of large language models and the role of game structure versus contextual framing,.

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,

Reference 4

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source=pdf_text observed=2026-08-11T14:42:18.092239Z digest=sha256:003d97a4f68520aa2e41c2e86aa9a6888db2ce55f7b55a6653a63ed23ecb0abc

Observation 2fc3de42-b261-4e48-a160-ee7a8a189a76 · outbound

This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models,

Reference 5

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source=pdf_text observed=2026-08-11T14:42:18.095678Z digest=sha256:550f826b218dddbd05f6d9a4fba699e55fca6ea2ed50c19a5251a75cd4114eaf

Observation 183bda01-e69c-4913-b1e3-041ef8a88800 · outbound

This paper cites SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models,.

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,

Reference 6

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source=pdf_text observed=2026-08-11T14:42:18.099015Z digest=sha256:0c65268f33c155729abdf1ebd966b2cb8ef813c529a77fe5627198ad0a274f92

Observation 42311ea6-9fd8-4095-a7be-ac11540ac414 · outbound

This paper cites Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games,.

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,

Reference 7

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source=pdf_text observed=2026-08-11T14:42:18.102638Z digest=sha256:da5dfdb2a154969699dbc8020b6b34801cedf234eec5327ac4f2f2f149592cfe

Observation 7b19bbc7-2e2d-4371-aa73-477652672d65 · outbound

This paper cites Robot behavior-tree-based task generation with large language models,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Robot behavior-tree-based task generation with large language models,

Reference 8

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source=pdf_text observed=2026-08-11T14:42:18.105557Z digest=sha256:0a663cde7d85a18f0ff05f40848b4014904d44ac0b79ae21b95d9f58e9c0710c

Observation 2cb7dc35-aa8f-4da5-a924-6bb6ac515d00 · outbound

This paper cites The StarCraft Multi-Agent Challenge,.

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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source=pdf_text observed=2026-08-11T14:42:18.108741Z digest=sha256:d9f7f2a94c595d7112735f1d85dd7dced91b234d98138607d50cc28d4f47a453

Observation 10e3e139-0d7b-400c-93a5-e5f126d76837 · outbound

This paper cites Monotonic Value Function Factorisation for Deep Multi- Agent Reinforcement Learning,.

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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source=pdf_text observed=2026-08-11T14:42:18.111709Z digest=sha256:833991164ef7d1c226e4c9a5e34f6064a70b4a071d53b2066df6307d2d4c80e5

Observation ae9d1160-6093-4244-a342-5e9841bef370 · outbound

This paper cites The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games,

Reference 11

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source=pdf_text observed=2026-08-11T14:42:18.115006Z digest=sha256:6ebc6a9a5c072688c28602ae96f275f337e4e9db6186723de1f85a8149998f9e

Observation ae0f0b79-b5cb-4bbd-8763-5383bc569aca · outbound

This paper cites SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning,.

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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source=pdf_text observed=2026-08-11T14:42:18.118638Z digest=sha256:282a55cfb81cbacfb1861c4379de13ff69d3514bd1ff831211972e88a725b54c

Observation 9c658dae-76ce-4b1c-b61f-d0bbc7182f90 · outbound

This paper cites JaxMARL: Multi- Agent RL Environments in JAX,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control JaxMARL: Multi- Agent RL Environments in JAX,

Reference 13

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source=pdf_text observed=2026-08-11T14:42:18.122201Z digest=sha256:7dd3d05317402a0658db345610b6a459d040618fcd2c5aaa323a359cf8f1f498

Observation 44991500-3478-4385-980d-5329149b2a3e · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges,.

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,

Reference 14

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source=pdf_text observed=2026-08-11T14:42:18.125605Z digest=sha256:8f324626055fc91d7b6e4ff1211b5ac572e0e47b2f8ca919c72c4ac3d7bdcb8d

Observation 0da4749b-dd7e-4742-99a3-405e22e202cf · outbound

This paper cites AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration,.

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,

Reference 15

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source=pdf_text observed=2026-08-11T14:42:18.129165Z digest=sha256:6ac0c6f7a9845530649a6b15009e0da19f3d8b20b828aa83c995861516f06bb6

Observation 4696a475-0733-4c9e-8887-7f3e1ca5af2b · outbound

This paper cites LLM Multi-Agent Systems: Challenges and Open Problems,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control LLM Multi-Agent Systems: Challenges and Open Problems,

Reference 16

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source=pdf_text observed=2026-08-11T14:42:18.132666Z digest=sha256:28a561e9f8cdf32879979a3c0bec9f64f05f1bc2eec2a6dc4acdffb1b0508ac2

Observation 46e286d7-6e27-42f8-8d09-0080f9ede6bf · outbound

This paper cites Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy,.

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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source=pdf_text observed=2026-08-11T14:42:18.136252Z digest=sha256:4a194238aae42e966cac76a58d4057a739fee3e5069b1a6388cb00558607510d

Observation 3f4d704a-bcc6-450f-8b49-2455663b6012 · outbound

This paper cites BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games,

Reference 18

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Observation a2c90cd5-e3bc-40e4-adfd-d413b1486859 · outbound

This paper cites LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations.

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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Observation 38349d0b-4702-4522-8619-9a28d200311d · outbound

This paper cites A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment,.

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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source=pdf_text observed=2026-08-11T14:42:18.147413Z digest=sha256:c128ab9db0fc3459f441d1f8ee932b5ee7f3da423a9370e7906310eb06c56f5a

Observation de7465cb-1508-4c03-bc8b-fce52f478ccc · outbound

This paper cites CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long- Range Reasoning Problems using LLMs,.

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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source=pdf_text observed=2026-08-11T14:42:18.150978Z digest=sha256:048f93129deed03b3ee8f6ba41ddd134463eedde0c2f947be933eab594466392

Observation 7b10d4ca-5ad6-4e0b-87b0-a87e47bcb71a · outbound

This paper cites Under- standing the Weakness of Large Language Model Agents within a Com- plex Android Environment,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Under- standing the Weakness of Large Language Model Agents within a Com- plex Android Environment,

Reference 22

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Observation 7c38ec01-422d-4325-9d93-f3a93c7e23ec · outbound

This paper cites Towards Vision-Language Geo-Foundation Model: A Survey,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Towards Vision-Language Geo-Foundation Model: A Survey,

Reference 23

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Observation 096c78b3-2991-425b-af33-3f245a3e0684 · outbound

This paper cites Vision language models are blind,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Vision language models are blind,

Reference 24

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source=pdf_text observed=2026-08-11T14:42:18.161251Z digest=sha256:09ca3b44aa3ffb6cb9bc1b5845e151f75e3246a7365020e92c8441f9ef4fb77e

Observation 8022da5b-cfb4-4053-8a29-67703c998142 · outbound

This paper cites JAX: composable transformations of Python+NumPy pro- grams,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control JAX: composable transformations of Python+NumPy pro- grams,

Reference 25

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source=pdf_text observed=2026-08-11T14:42:18.164835Z digest=sha256:539ff7d02aea3f81a1209b79c4b5fbb483229bf6738f4e7fea3bde7915280235

Observation 3727b295-f642-4fd7-9fa1-04a6c1edc3d5 · outbound

This paper cites (2025) Inkarnate – An online map-making platform.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control (2025) Inkarnate – An online map-making platform

Reference 26

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Observation 08a2dcf1-4632-4437-933d-e23e06ecc097 · outbound

This paper cites Theory-based approach for assessing cognitive load during time- critical resource-managing human–computer interactions: An eye- tracking study,.

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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source=pdf_text observed=2026-08-11T14:42:18.171703Z digest=sha256:29582b8fe83d51e714dbb074dda83ce45513d77d4dc04f001e69f3bea6a64972

Observation 6fe78808-7e05-4e7d-9b21-471e8f793846 · outbound

This paper cites Colledanchise and P.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Colledanchise and P

Reference 28

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source=pdf_text observed=2026-08-11T14:42:18.175124Z digest=sha256:c79102b11adc4ef178ac5a956e7481611f98710965c3fe727dda54bd6958e014

Observation 964e6356-8c0f-4e6a-8f51-162e8a871c04 · outbound

This paper cites GPT-4 Technical Report.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control GPT-4 Technical Report

Reference 29

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source=pdf_text observed=2026-08-11T14:42:18.178699Z digest=sha256:ce9deb43ff72a3ec9b4a2a9aba232843cc9024207c5377137e69b688c3dc144d

Observation 951aaa1f-b1c7-4a60-bc7b-40b4db05774f · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku,.

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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source=pdf_text observed=2026-08-11T14:42:18.182597Z digest=sha256:9220d74be3dc03e0e8cc60b566f5dde943c2af0196f8b1268ea83d4976960ae7

Observation ad9748f7-c88e-4f46-a079-e097fa9ab581 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

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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source=pdf_text observed=2026-08-11T14:42:18.186045Z digest=sha256:584fe1e3d065088f6acc42d07f717f321ae0c48423a954dc0ed957b43b1cd1c6

Observation e5750d86-d63d-4487-981c-a624432be34b · outbound

This paper cites The Llama 3 Herd of Models.

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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source=pdf_text observed=2026-08-11T14:42:18.189759Z digest=sha256:15fddbe69d6921110e2f54e2d95d108854ba0cc672508da1730547b7b8cab385

Observation fe96085b-4705-4462-9b8e-5f73f43a9d69 · outbound

This paper cites Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models.

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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source=pdf_text observed=2026-08-11T14:42:18.193478Z digest=sha256:8345cb89c0775c7bdc21a6f0d3ee5894945170a12edd5281cadbba1e96654d6d

Observation 65326ff4-12c5-4f48-9799-ebf2e52af946 · outbound

This paper cites A survey on llm-based code generation for low-resource and domain-specific programming languages,.

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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source=pdf_text observed=2026-08-11T14:42:18.197110Z digest=sha256:0fde042e887b50fbfad97396c33117e6428cdf037e86f88046f1b108d14cd662

Observation 2408bab4-2380-438a-a04f-3196402e0b71 · outbound

This paper cites Evaluating Causal Reasoning Ca- pabilities of Large Language Models: A Systematic Analysis Across Three Scenarios,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Evaluating Causal Reasoning Ca- pabilities of Large Language Models: A Systematic Analysis Across Three Scenarios,

Reference 35

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source=pdf_text observed=2026-08-11T14:42:18.200525Z digest=sha256:548ef9ecdb01e8d96e780074b3a0dc0253278c8bcef292da7ffe798e52c43b70

Observation a820b18e-415b-405e-aa1d-adad22111949 · outbound

This paper cites Evaluating Mathematical Problem-Solving Abilities of Genera- tive AI Models: Performance Analysis of o1-preview and gpt-4o Using the Korean College Scholastic Ability Test,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Evaluating Mathematical Problem-Solving Abilities of Genera- tive AI Models: Performance Analysis of o1-preview and gpt-4o Using the Korean College Scholastic Ability Test,

Reference 36

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T14:42:18.203659Z digest=sha256:6700a0b4fd747d47f98b9f29e5b333c5a4b9c2e491ed10153165e6ebc36d7705

Observation 7a4a4a94-37a0-4105-8a7c-e863ca9588b7 · outbound

This paper cites Review of automatic text summarization techniques & methods,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Review of automatic text summarization techniques & methods,

Reference 37

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no resolver link, observed 2026-08-11T14:42:18.206770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.206770Z digest=sha256:0cc23add1cd8db56ee4e603cb762257de79eada3ec7dfaa168d63089e34f34cb

Observation dbab8e1d-ac37-410a-b27f-a6b625e08022 · outbound

This paper cites An empirical study of the non-determinism of chatgpt in code generation,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control An empirical study of the non-determinism of chatgpt in code generation,

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.209713Z digest=sha256:d64679295f1ba80392860e3828bc22569e295e14a8db6a7e70f87ba27a437c12

Observation 76595cac-b7ae-4f11-b83a-782dee3a89de · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

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

Resolution
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no resolver link, observed 2026-08-11T14:42:18.212594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.212594Z digest=sha256:437404c7bfee17a1d23bfb7b5c27a89302ac16a29c8e1fe55fecda07c3511816

Observation 1c35f754-fe3d-41b5-9c90-62d24b21d2d5 · outbound

This paper cites PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC.

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

Reference 40

Resolution
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no resolver link, observed 2026-08-11T14:42:18.215887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.215887Z digest=sha256:96b6782f5bf8b855e7b555eb8fd70b8422e686a33d30ec2591b2adcbd0d16f57

Observation 354ddebe-e698-4f6a-a03d-4de482f7643f · outbound

This paper cites Geogpt: An assistant for understanding and processing geospatial tasks,.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Geogpt: An assistant for understanding and processing geospatial tasks,

Reference 41

Resolution
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no resolver link, observed 2026-08-11T14:42:18.219412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.219412Z digest=sha256:f3902fc674cb430b45f0ec2f0c0c7c1384bb47981da4571c83fd2e7302dd8cc8

Observation 0c0b53d0-9fa4-4735-929a-a866456e0ccf · outbound

This paper cites Are large vision language models good game players?.

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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no resolver link, observed 2026-08-11T14:42:18.222745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.222745Z digest=sha256:679acc3944e3d4f84822083669076a003e3c8cdee9bd589fee48f9596d9cb164

Observation e403a24f-1c09-4859-a482-62e0adf3789c · outbound

This paper cites BEGIN PLAN.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control BEGIN PLAN

Reference 43

Resolution
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no resolver link, observed 2026-08-11T14:42:18.226761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.226761Z digest=sha256:2765a3f3650a744186eae63b59235daa8aff939466091de8e63d60f38f98d376

Observation 51796215-685f-4a05-9bb5-14b5bb9ce8ea · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.230658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.230658Z digest=sha256:ceb7ac9c60388d82d6cae8ecdf158d4c2edcb359bb834af94e97967531364c93

Observation 9a68d128-3715-4496-ae97-f2e8b9a6549f · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.234466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.234466Z digest=sha256:7c9b66b053ddbd90debd0fc32969b36d488cb9e5d764223a8b1f1489ac0d943f

Observation b18baf6f-eec6-4b3c-a6d6-78ba914b8a64 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 46

Resolution
parse uncertain
no resolver link, observed 2026-08-11T14:42:18.238064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.238064Z digest=sha256:742905cc6a50e392b24a8d07d4a9d8008028dab193bd149c0cba0242a467b54c

Observation 1e6d49a5-1578-4b06-b573-7498b37b4e5d · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 47

Resolution
parse uncertain
no resolver link, observed 2026-08-11T14:42:18.241871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.241871Z digest=sha256:fef54de4fcfcae25fc6160fedfd3c3baabeedee96312b2b760018c5e0a91b1db

Observation 016f41c9-c9b9-41bf-afd4-4d5854133d1e · outbound

This paper cites ,→ ,→ ,→ ,→ The groups are spread out to cover the entire width of the map, ensuring no enemies can slip through.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→ ,→ The groups are spread out to cover the entire width of the map, ensuring no enemies can slip through

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.245362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.245362Z digest=sha256:f7d1f6c2c64a8d6aca9ee3f1baac0afc77a6900f1d49503effe2ca06434149a9

Observation 0d004c59-c93f-44b5-8d18-0dcd902cdf6a · outbound

This paper cites ,→ ,→ ,→ Enemy forces are organized in three distinct groups:,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→ Enemy forces are organized in three distinct groups:,→

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.248851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.248851Z digest=sha256:3635ada15d61fc77691974a35168c0a874ccd8f6f1fc50d59b7c379e5f7efcab

Observation a032c6b2-7e90-4bb6-9276-4354b9b20c16 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.252339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.252339Z digest=sha256:196f43687e59132fb819a71f88276577e0f9d8af4dbf61d0f17d6772c55eb85e

Observation bedc94bb-bc04-4f9b-adfe-27181af5124d · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.436424Z

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.

source=pdf_text observed=2026-08-11T14:42:18.255995Z digest=sha256:5b6c97bf774a8d4328df6e1d96757f94fca2d402cc57b9900991f2bcbce33801

Observation bae0ec61-a928-4ca4-be16-c9f258c1f36b · outbound

This paper cites ,→ ,→ Strategic considerations:.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ Strategic considerations:

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.425513Z

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.

source=pdf_text observed=2026-08-11T14:42:18.259441Z digest=sha256:4c4fbe6061f953a04309f1dfb1c19d3027eb341b7602407ac4c9f9525dee7dd7

Observation cd9479fb-95eb-4a7c-9674-7e26ea764460 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.414864Z

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.

source=pdf_text observed=2026-08-11T14:42:18.262927Z digest=sha256:eff6dc522f6f128b6a987ea5bd0cf9e94b9a67fbde1f1cb48c7b6e47bf78c36a

Observation e999815f-b5d8-4e4c-a304-3a19952dbc3f · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.404650Z

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.

source=pdf_text observed=2026-08-11T14:42:18.266298Z digest=sha256:5c6e177364404cabcb23e3719630e024a52f198b3806fd5fec89bbeac8561b5f

Observation 2d55984c-5db9-49e9-8b22-0b72aad546f6 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.394435Z

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.

source=pdf_text observed=2026-08-11T14:42:18.269606Z digest=sha256:aabb498aa5346834d541e4acddd499cfd989e50aa171808a8cf9ed508af7b8b2

Observation c2db1f73-b06f-4e6d-8b9f-71e8e29a69ca · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.384001Z

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.

source=pdf_text observed=2026-08-11T14:42:18.272904Z digest=sha256:bd71947367aaabac321e8ee5e9094a275928b2848483608606e4750ea30d29eb

Observation 6201bfe5-422f-488f-a684-a170d81277fe · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.373100Z

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.

source=pdf_text observed=2026-08-11T14:42:18.276190Z digest=sha256:f5d2db6ead2aea31fc909feb3105e23df49d60291ba51c6d4da1d438e5f80c16

Observation 9c0d885e-5b2d-4aa9-bcc2-4698bab8276d · outbound

This paper cites ,→ ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→ ,→

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.362734Z

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.

source=pdf_text observed=2026-08-11T14:42:18.279413Z digest=sha256:fb221cf578d729308e57e51e3943f7a6b3f0550d76d179416b7d0c3450fffe19

Observation 04675fb2-5953-4c46-8024-b56c6ed2a625 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.351353Z

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.

source=pdf_text observed=2026-08-11T14:42:18.282923Z digest=sha256:4df6bc6f3f88a0fc92f15efe2693fd6765f1cbe3bc37c9ce9d47f69ec27f71fc

Observation c9cb0e4d-6f29-4212-b5c1-8023b96be2fd · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.340430Z

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.

source=pdf_text observed=2026-08-11T14:42:18.286291Z digest=sha256:c1d8e5f12f4547a0a8ce80f20f6c767d66b50b5be931fa19d9b04ce0600c0d48

Observation 54ea79c4-fca9-417e-a91e-a0f50b5fec42 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.330298Z

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.

source=pdf_text observed=2026-08-11T14:42:18.289701Z digest=sha256:0d4c24f8fb7664fd364b0efcc411906f38f8dcfabf6692fc39ec970c83c92e4d

Observation b8b890b1-d9f6-4206-a291-db02cebdcb01 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.319782Z

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.

source=pdf_text observed=2026-08-11T14:42:18.292843Z digest=sha256:22a7fe10760cdb3ba148314a8b02b8ee0d0c0c8c11882cdde204ce296d9794a4

Observation db37eba7-5075-4b94-aa4a-eda099358058 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.307910Z

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.

source=pdf_text observed=2026-08-11T14:42:18.296341Z digest=sha256:964065a690472dbb6d080d1fab0c3567bfce96c809ef401273ef66648dc6433b

Observation d10c1d4a-0e61-4602-a16b-258a4e94a193 · outbound

This paper cites Would you like to make any adjustments or proceed with this plan? ,→ ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Would you like to make any adjustments or proceed with this plan? ,→ ,→ ,→ ,→

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.296762Z

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.

source=pdf_text observed=2026-08-11T14:42:18.299650Z digest=sha256:2cb067ff338b305ff6dccc4cca7deba26af9fb8f43b419d9ba1c27b950ed70a2

Observation e67c88a8-f285-4ed1-a2c6-9d861d892773 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.284316Z

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.

source=pdf_text observed=2026-08-11T14:42:18.303043Z digest=sha256:09aeb351be0fc560b4b4c8f3105a4f56bc917bc11206ca3a13aa85ca007673fb

Observation 7843c73a-3c58-4513-b6ff-e0350d8e4696 · outbound

This paper cites ::" node |.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ::" node |

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.270581Z

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.

source=pdf_text observed=2026-08-11T14:42:18.306435Z digest=sha256:36758cab6216975074c08462b53463643b9dc70bac883494069e526ed812e764

Observation 627e03bb-55ce-4e32-9cac-089705800eda · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.259318Z

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.

source=pdf_text observed=2026-08-11T14:42:18.310133Z digest=sha256:42641b3aecdbd9849a085029d50b0efac5ce4ae613ecd82faddcf710f55b3548

Observation 312b1aab-c62a-4a44-ac39-8503028527f0 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.247573Z

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.

source=pdf_text observed=2026-08-11T14:42:18.313442Z digest=sha256:dad851a6dc2fa6296c4a1c6050aebc442670fbbd55fdd769176181024d6cf73a

Observation ea3d90ce-f1c3-47fa-8f45-df173b03cdff · outbound

This paper cites Judisiously place our long range units so that they are not in close combat.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Judisiously place our long range units so that they are not in close combat

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.237060Z

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.

source=pdf_text observed=2026-08-11T14:42:18.316179Z digest=sha256:938bba026dcf54c95e0e41bc51b9e156b7c77b16769ceab701a83cdeec0dd683

Observation 39b0fa0d-ca46-45fc-9201-3ebbccecaa77 · outbound

This paper cites Judisiously place our long range units so that they protected by our close range units.

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

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.225611Z

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.

source=pdf_text observed=2026-08-11T14:42:18.318987Z digest=sha256:07793a73397526908a241333c16481c41250f8a5625c2f1a3b8facde6b3ae99f

Observation 5765c620-9dc5-40fb-a4c1-a65af485fa76 · outbound

This paper cites Ensure to place our long range units so that they are not in close combat.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Ensure to place our long range units so that they are not in close combat

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.214307Z

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.

source=pdf_text observed=2026-08-11T14:42:18.321797Z digest=sha256:3e0e20f8122dd5bb96484dc863f530aae93c254c81988812af3b307408236f53

Observation 3ddfe783-7a64-45f6-a14f-8d7299e659e4 · outbound

This paper cites Make sure to place our long range units so that they in far range of the enemies.

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 in far range of the enemies

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.203283Z

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.

source=pdf_text observed=2026-08-11T14:42:18.324525Z digest=sha256:9e01300fac19ea3c32f8b0aaf59c83300102e1cfe1cbfb8acd52ea26313a22c9

Observation 137f717e-7a27-4116-b073-d3c76c76b84a · outbound

This paper cites Ensure to place our archers so that they protected by our close range units.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Ensure to place our archers so that they protected by our close range units

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.191652Z

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.

source=pdf_text observed=2026-08-11T14:42:18.327468Z digest=sha256:74d686a8973394f692cd3069b69f5b5ab710cf4b75cf45d6cd0f447fa9fbf6a9

Observation 489c6ad0-0f5c-4ec3-8a4a-0e397d283851 · outbound

This paper cites Ensure to place our archers so that they in far range of the enemies.

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

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.179681Z

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.

source=pdf_text observed=2026-08-11T14:42:18.330455Z digest=sha256:ede90c60d75e032a34ab6ba0e4254b88a35853c1259c4565f2118d75d2a0e1be

Observation a114c25e-6a96-41ec-846a-a836f7eae6a5 · outbound

This paper cites Make sure to place our archers so that they are not in close combat.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.168635Z

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.

source=pdf_text observed=2026-08-11T14:42:18.333457Z digest=sha256:ad7759274b1cf7caa77e303701f1da59a8ffe66bfabb2f85a06460576b95c80a

Observation b415dbab-1d77-487b-9e42-d4fed760813e · outbound

This paper cites Make sure to place our long range units so that they protected by our close range units.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.157108Z

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.

source=pdf_text observed=2026-08-11T14:42:18.336379Z digest=sha256:4cb3c5fdcbe42e678423a5eb5b595ba392c39cd23192a0e00cc09af3e0cdc9de

Observation d8bbef6c-78da-4665-a6da-df87ae8709fe · outbound

This paper cites Judisiously place our archers so that they in far range of the enemies.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.145894Z

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.

source=pdf_text observed=2026-08-11T14:42:18.339181Z digest=sha256:3f8f352b82fcafb26d8d23bdf8fdb8402e707e975cd706bece66e5fe6e0872c2

Observation 6ef0b407-cfe2-4cfd-bb9f-9301e4f28c00 · outbound

This paper cites Make sure to place our archers so that they in far range of the enemies.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:19.135171Z

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.

source=pdf_text observed=2026-08-11T14:42:18.342572Z digest=sha256:39aef68ffcd51edef158c8938feef4ed4a088e9375d3a8e949b6e67303ccbfb6

Observation c330bca6-ce09-4e66-8e42-36ad50264c5b · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 79

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T14:42:19.123786Z

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.

source=pdf_text observed=2026-08-11T14:42:18.345958Z digest=sha256:ce13e4c49abf814bbb4a99aaeb39fed4b7fc85052ee842faf5c17faae2a2d619

Observation 2a04f32c-344f-4e24-b92f-9b1a5a6bea6b · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.113535Z

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.

source=pdf_text observed=2026-08-11T14:42:18.349190Z digest=sha256:ecf5d5b1477754ff9f6ea4c048095e153ad66c5f2916b3c315282c508c48da23

Observation 36ef9e23-84bf-4e38-a466-43955101d1d9 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.103510Z

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.

source=pdf_text observed=2026-08-11T14:42:18.352643Z digest=sha256:06c2fce2a072c39dcdc4cee63abc56bbb1725aa62bf6d230d721ddd966ab1dfe

Observation cb49f32b-0525-4bb2-802a-b39688ab299d · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.092972Z

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.

source=pdf_text observed=2026-08-11T14:42:18.355909Z digest=sha256:c4e018b9b686177aea39800551ef8e188d8f96d77cd256eb151e44f9057fb4a4

Observation dbd48a1f-6177-4b9d-b13c-64faaf3f1bef · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.082453Z

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.

source=pdf_text observed=2026-08-11T14:42:18.359465Z digest=sha256:d4105de254ec7dd97c5a3cecfe23a9968ea2ef84458e191bee7e7eed393ac242

Observation 0fde7b77-7ee5-496b-856c-adf63fc225c7 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.071910Z

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.

source=pdf_text observed=2026-08-11T14:42:18.362898Z digest=sha256:eec247ebe622a6c253a37e17098cef9f354e8b4e02bb458459b1ed9d6e1f3994

Observation e1e38701-4ab7-43a0-a101-ae7dc848b6e3 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.061584Z

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.

source=pdf_text observed=2026-08-11T14:42:18.366193Z digest=sha256:38aade4ef7a71a632f7d601076852b5f5145aaf45bb9ef24199ef253eefc88ed

Observation b785421d-99cd-4a43-a78e-f6e3e455489e · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.050540Z

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.

source=pdf_text observed=2026-08-11T14:42:18.369462Z digest=sha256:a786c12d87fac4887d6146d9f1851aaf9e7bd5a5e2e1a53b3bfb8540653a589c

Observation fce8c2dd-dc8d-4b7b-bd32-ea578f2a2b9c · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.039379Z

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.

source=pdf_text observed=2026-08-11T14:42:18.373004Z digest=sha256:e0c86968e57a13ead5f2277d88e3519df11d840daf8c950454b1b2d5d23b08cf

Observation 990b1095-9997-4590-b92b-2176c9c77bcc · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.029018Z

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.

source=pdf_text observed=2026-08-11T14:42:18.376264Z digest=sha256:5a1eda2cf5b85d9485b2e83ae6d2197e29e22d93f78bd8d2a224fb37bb44ba56

Observation 4badb72b-2bcc-41bf-a818-46c0f20cadfb · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.018044Z

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.

source=pdf_text observed=2026-08-11T14:42:18.379682Z digest=sha256:3ce47099d943d34de03b93686213b7636ca35ca219cdc3ffaefe5253f8a08376

Observation 21ef21fe-6713-4b4a-bcc0-50929347c72c · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:19.006875Z

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.

source=pdf_text observed=2026-08-11T14:42:18.383136Z digest=sha256:c7ab5da053da8466bc3bc2de05901fbcb5dd9b51a4041c3922570ca966f43b28

Observation b3a2ab50-f7f5-45ea-8d67-9164f65d1d81 · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.996241Z

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.

source=pdf_text observed=2026-08-11T14:42:18.386957Z digest=sha256:64c63105e5ec760a4de04e5a93e44374b3151f0a3e1e4c54e10ddcda1d40081c

Observation e16af3b8-9dfe-41ac-bacc-7c82f5d62241 · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.985533Z

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.

source=pdf_text observed=2026-08-11T14:42:18.390445Z digest=sha256:c20482a34a2a8459c7343d2f58515eba2ef5902531c7ec8d111b54df8cacfcf5

Observation 800c53fb-6637-4bf4-949e-2c6125710b4a · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.974514Z

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.

source=pdf_text observed=2026-08-11T14:42:18.393626Z digest=sha256:e62787d45570cc1f5abd194f1016dc45f474940a90615e9f563edbf9637dfc16

Observation 5a7b8ef0-ed70-4115-958a-efcf8117d040 · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.963500Z

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.

source=pdf_text observed=2026-08-11T14:42:18.396967Z digest=sha256:d618b45d7eff6678ce4a3cf9ef65cd3cc3c479fb037f49f38a37cace40a94c87

Observation de3d3a69-9b81-42c7-88fd-cebacd90d3a5 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:18.953133Z

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.

source=pdf_text observed=2026-08-11T14:42:18.400473Z digest=sha256:d6cb3ec9ab7593e46bad29120cfccb9ba1cdc6bf2e9cea0a73ab06f090ead351

Observation e9dd2eda-060b-46d1-9a74-2e095eba04c6 · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.942874Z

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.

source=pdf_text observed=2026-08-11T14:42:18.403840Z digest=sha256:0c1f49a000c3808dd4b097321c7ec6006135caf2f99d94a9d45bcc07a020d9c1

Observation 3f4e7caf-12f2-4761-8db9-bf645f33d4f1 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:18.932008Z

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.

source=pdf_text observed=2026-08-11T14:42:18.407141Z digest=sha256:729a65a65a48ad2455dbfff8aebf07a6e7a1bc2ba3e1bb29ababe08d22a15daa

Observation a42c5f01-d745-420f-8c53-4f5687951128 · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.920251Z

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.

source=pdf_text observed=2026-08-11T14:42:18.410364Z digest=sha256:d0ebacf9be94c7980de6b4fab06048f51cf4bba342ccb863409e661a39cf515e

Observation aa287da8-5f19-4625-9831-485bb8da9fc1 · outbound

This paper cites an unresolved cited work.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:18.909385Z

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.

source=pdf_text observed=2026-08-11T14:42:18.413871Z digest=sha256:a48e58fa54e2a9cec9393d2b4fd67ffb9391c71d841d2b584bfe1048ab69d490

Observation 65b46785-d5f1-4498-baa8-3c2b5554de0c · outbound

This paper cites ,→ ,→ ,→.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control ,→ ,→ ,→

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:18.898677Z

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.

source=pdf_text observed=2026-08-11T14:42:18.417323Z digest=sha256:f541e769944083a430494467912df305d04261b1b1582a8ca19a0e9f3dcd3728

Pith citing papers

Observation 2bf167ad-24cb-45e8-a4e5-9a886f6d5e15 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.301175Z

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.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:579e40e87bc20d02a82dbc6083386f6ddae1601e46e227d0c754ced21153a769