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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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:bede7eb61bc11025ca91bdc73a315f957297894bc8673e0edff2b4250787d05f

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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source=pdf_text observed=2026-08-11T14:42:18.084864Z digest=sha256:36cec95f6fe94a106bad345c5cd95a3a7d377b26ab72372cadc1a195cef115dc

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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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:ee4cef1c1b6514c305039e7020197672b9e73d983048dc73c359c433141c453d

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:cf6cd399f022b744324c3f795338d7738d15ca35f008928b1c1d80b4481683bf

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=sha256:8a5ba12ccbfc1e88d89a3ecf3343eb7f92f865aa76b7679212e0a9e755fb29ae

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=sha256:6f6aa70d97fd00b775ae898314288404e4b6db3332a30057e5e84221cdc3efa5

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:d8ef6c72ac0dbedd88f5c5a3fb67da83c6973153dc5088bb7627ef26bb77a836

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=sha256:4371a9a4f4636ef6e375cabdc5a8ce9b578546fb1b74a9c4e9449edd9b614943

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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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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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:cfe489c3947286013145dcdcaf880f4d19ab1c03d8adc5f3202e8f8e1df88789

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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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:bfe31a69099959863fa3e0935bed5e6b7854189138d441a204248dc061e18159

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=sha256:6c2d24abc700db9d30e3cd3d77a6b5a182ca28a8d3eb95d3a6dd4d81d2dfa88b

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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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=sha256:6a39cbe92a125cbec4f780bec9110af9f2aacdd993714436bf5322d712c6340f

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:f03d664cb43f898b7bf6b68834b27d1a241d725d472bcefd5b179169a65f5371

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:d1154263398cfe8d85e912f6b61b0b90da5a2fe4094a72b1926c33344834c3fc

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=sha256:4def78b418ea95b16807b5d9536fd54c6ed7a884fa682607f67352e893e91d38

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=sha256:97cdf15a2f7fa7fc5cefd17353bc939b20650a83a94564d17d03402f93844565

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:dc31d9608632e1abd2c324a9fbf5a76e3a306331b7ce2fa75ab681f86f19480a

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=sha256:7a0022849d0ca78e8a30608d921443ba38649f28cfeb894a830abbf1bbf853bd

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:b5bb852b3d71f4e03e97039226395bde86a03b2a36b9a961d82238b44f6c333a

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=sha256:1cf0d6983008eaf8f386268c65eb73781f9eaa234e16839cc3874344e6fe3f65

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=sha256:532d9e9f08e687dfc2feb4960b935dff18f122e6e26d6a3c421932f2a1343236

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=sha256:62e832107d2579799e05a0eab60310db85215dd397a8b037d6a56316cc5d8c6f

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=sha256:958df9d8e717dfdd14ceffe590d87c35c5437704d9b182f0dc4c0a303aa6b1d8

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=sha256:7c85a6701c440fee1a716100a26a1fb9aeb9d9fdc9b597794c18482c281bfab1

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:c983f42a6add3feaa228aa3faacf7265453bb93dae624fec7fdd0985de306889

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=sha256:08d28920a9aa1bd2fed0d9b2578cf493feb2095f66fb521ff7bf9d2d6eeb209a

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

Resolution
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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=sha256:9f8f9304a5d7a1890823ea6bc49a52d316ebe1d706d72f75c9832693c7d5a209

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

Resolution
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no resolver link, observed 2026-08-11T14:42:18.209713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.209713Z digest=sha256:db0a34ce3f17d87173dbda6582ac491c84f2dfe38825dad3e5adbd878bd1d5f4

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
unresolved
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:fa954a0252a0f542d5581b37409e04279175b8ae8daadf52e14e46c33bbe2ae1

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=sha256:6f80daacda2954a154210c3cece8b8467fecd661e0c3d883b4991b2d86b8b598

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
unresolved
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=sha256:9e6fd0c458b30857fb79deb4ead32ba908ca4925783328ae23b27e95ee80a6ad

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

Resolution
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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=sha256:7b77d0eaab9354712a1196e1bd5309d20cad074115aadf056a5a20ba66af18b3

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=sha256:62db0d748067f553910aa3f289e4d6c1895d13c6a55c7febc401ed98b8d262bc

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=sha256:61dab0240e79fd25a3585cce486667a0e57b76e6a340cc52a8a1a7a6bc07b304

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=sha256:02b62e9e62f1587a2dd7c8fb4a660897be0f51ed114c5d97c5d20a420d61a99c

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=sha256:7e6e7955d6a1c52d7d3c86d33980173fb976891fa7aec62737b5aee92f4aaf96

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:a7ae99c8640a008a71079ebf0753a1f05c2880fc52b685e5f59e9cead7956ef8

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=sha256:89c8dcacaac1ce8f256d8af4b22b2263e2b72d1b4e9fd340bff2310091ec47bd

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=sha256:1ad3a1601a820d250336e5acf97330d365090bdd94251116082baa4d4e71a1e4

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=sha256:30de639b34c862d5ee558926535814f2e5c09614cba16d914f627f6c0da81881

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.255995Z digest=sha256:4a7a7264644d9f43449c7f953a5c74bdbebf46feed75f2f5ab0644fdcda2cd02

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.259441Z digest=sha256:05a69187557459ff165a89ee0f5ea1e8804b9d4c2b890ab2cba40ea7aa968be0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.262927Z digest=sha256:6640e3c32052cd298eebaff653c0bf27bd46a7c3ec23f8bf27fb9150e4f6cf8d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.266298Z digest=sha256:d83c21d8cb6cc857a73bb12652fda83e102da78d04d7584d4a4fbd7cdf50800c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.269606Z digest=sha256:9a6943a5640d7d1271e7633f4bfa11c1396f4ede6002a594113ff7d493306736

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.272904Z digest=sha256:6b5c620505ce1b3c4b936c443a97242b8b4cdf049df282fad0923d531dbbf0cd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.276190Z digest=sha256:1ed1c034a680c7cfe47c8c0b2d9181750bc3ad0e0fda75c8b9ca52be55669474

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.279413Z digest=sha256:c01ec89b72ef64add3cc9f7e63b8caac2f9aa36d5d0bf0f94a3009fbc63c9e45

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.282923Z digest=sha256:d13ddc5898f83d153ded993a8287f5551409bf5e6a625f768c5fa04d0a6bc109

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.286291Z digest=sha256:2622d57d4d505b271ecffe4e13d3d6987cae8424fc6d09dd9a62b0fce5f77d40

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.289701Z digest=sha256:66828be0d23822fa42c48618ccbd93669d7b6f199d2ed8467a4d382ede3b1983

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.292843Z digest=sha256:1f0911623728973d0a7015a0a0007ba1eeffdeb3fed45d3d9c41d4f25eeaa88c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.296341Z digest=sha256:abf2f963f887d2a1c4ae7c0953934280bee5f20d927c96f37c57e28ade701789

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.299650Z digest=sha256:49bc0e105bd1fe97ac20e2c81e91708c388443af99deaed570af4b9f9b00faf0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.303043Z digest=sha256:74f576dcf0310178ca18ab99fb70ba04dd39095b3e880e18d6afca7cfa5d8a05

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.306435Z digest=sha256:8683a9887d263d2b3e78b712b4685c0874ad009adbbf6dc6ecad61b8589dfce2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.310133Z digest=sha256:3d9eff13e044b7192b6b5add2b866b5acf31c1b5666afeccd73ed1564921e4c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.313442Z digest=sha256:e9be8fb4dc25ec7d45874cb8539d49eefc1f1d7678d35a647442f25a3f0d8888

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.316179Z digest=sha256:8bcd6a9f66683961dddebe9371db768eba070e650b1e34943b994f672dbcdc1b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.318987Z digest=sha256:c4a840131563c7851ad686279c48b77199e86f3599ff8a260982b87e8bfab54b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.321797Z digest=sha256:d1c8c9d6ada9e36067d4a01391aa22cb6b45fc2facf296714b5f43a14e8408a1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.324525Z digest=sha256:615d1b83a853600e6aaa886fc382a83953071329f64ab58ddfaddd72a9fb30c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.327468Z digest=sha256:1bbe6a089e5c3022746fa6a2bca94ebad4f7be96c3c634fdad632cbb989d8a88

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.330455Z digest=sha256:7c40bfc6a9db861b057c2371692cfab5a7e72ae3d1d2711ce6d24c5d6fbff8c9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.333457Z digest=sha256:a88994a0b41ef69f1fa16ca1dc641f161056aae59477339843e95c783a00506b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.336379Z digest=sha256:fd70437c95e7ba3e453f5bb4de640a194f041e4cf8ad88485071c2b58debd638

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.339181Z digest=sha256:784ad4f911484c170e7134115cfb4fa7ce66ffc796ad8f4d810a26b686d48141

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.342572Z digest=sha256:ba8f617a6d9068ff060410bb4e4de736a57d4c9b1f70d301dd7185fb377426c1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.345958Z digest=sha256:e7212f542407420b590fcbb5106e20274fa2d8cdf92746c21cb7b9ce33540165

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.349190Z digest=sha256:62b1c7b2054f307e4d57996fea426fb90d5a2c9b41873a6dd575651305543d34

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.352643Z digest=sha256:1aec01f1706ca40e6c8990319746e8f7cbcb6abcf17278061647b8c7c0e076af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.355909Z digest=sha256:2f78a1ce2faf17cf08a10b20def2b3b1b529f971e6b3e4d38d767784e9d52255

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.359465Z digest=sha256:d855fc0cc42f63549c98ebc322a6f11c65f81d42b123328f9fc82b5b52fccabe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.362898Z digest=sha256:48a3c779bcdfb73d22bbfcb5dab0e373f7cee57f9bdc12ea38819286102483c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.366193Z digest=sha256:708c6cb74f863083d6efc0da8d22a0fde0e62813f517c626ca03832f7d488ca0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.369462Z digest=sha256:07efe9a2b1a41d18cc8d2eea967ee539e693de9863c16b8f26db93d3d845390d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.373004Z digest=sha256:4df318c8b2531b5a32c3259c809fbeac108ecc3cc26440329dd03a24330ca080

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.376264Z digest=sha256:45d5fcd401ad3cd523520835c972bdccc6830fcbe499a81e80dc1ae1b87082fe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.379682Z digest=sha256:ff64218433d1449486a88173b468152ddd376ef5f98fc7a6ff058a76679f0e60

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.383136Z digest=sha256:73db13fcc435680f60594627bb0a077cf3cafe4e24e0c6cca5ba0a8135d7a992

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.386957Z digest=sha256:97f53cde73402a8cbd4e63f5a91ed914e48146fe30ec85bf808f3ef02560f6c5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.390445Z digest=sha256:141e6f7fece3aa89b94a4b461073a80d164b560c2ab6a562ebc5f03340e4cbc2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.393626Z digest=sha256:2e45901118ef6f9bfcc55ebb42bb2ecbd89781bf89eda6af34892e7cb3651acf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.396967Z digest=sha256:61e253b3613693f7cb125db6d5bc43423807e59e682ed6b0b578df0a4e801a45

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.400473Z digest=sha256:9289d1a69899d9e985f09918115987da1ffd12b4db7ac53f0ba0b523aa418714

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.403840Z digest=sha256:8ec6604a7f81bd3039bed2794260e19eec219cba1f288edf3ff9ef78ec11f237

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.407141Z digest=sha256:7c1a116f4585938aee6ac417ff507fde68caf124601fc4a99bd0a6277d7b74e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.410364Z digest=sha256:8e1e95af9d53bbdbd8b9243748e38eda6b189939606f68348feeb3cc94cfc8c7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.413871Z digest=sha256:9b1eabdd3ed5eb5522cb0e27700e80d03f2b33c70088672fb58c0621eaab9acd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:18.417323Z digest=sha256:09d727625fc98d2c8ba661f5f29e64f1ac22eaac3ae33521b921594577269d0d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:ecc821be4816eae887b3c46d0f05fbbcd9a137ef64ca90b7dbd34e1fe9eaaaea