Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.080195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.080195Z digest=sha256:23eacf726e8e1c8a182dcd22666df4480cc55ea6e139ae7e8301d5b959324c29

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.084864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.084864Z digest=sha256:0d6682f8f2dbd6288bee81c894f63460b6ec8a7b30928c58a900fb0bd3ecbeeb

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.088623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.088623Z digest=sha256:ab59702831ea78552ec5e7ad3fc6418960a1bd87922f997418878997b74bec6c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.092239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.092239Z digest=sha256:bca9a65a220ee4cb4911d949127373084e2456b834285cf9fdf02eac7ad8f281

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.095678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.095678Z digest=sha256:5d59f4c8dc31951e23ae554d2f40d824bef051baeac923a35ef247fd7a78241f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.099015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.099015Z digest=sha256:a34c569b0eff86c2a8e95117f82553d66b8a5caf7ba203e6abd9b802a58d9784

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.102638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.102638Z digest=sha256:d9dfa1d55e6b3e753639e504f8ce28f84b4aa6b31e10f7bfb874b5f29c3b083e

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.105557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.105557Z digest=sha256:59744896d1ff3aa5ca971c80c7df804cb2bbd80ebb30b9e25dc170655eb34215

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.108741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.108741Z digest=sha256:7c48351622b4eca7e96cc4661f5e57bdeefa69d6fd400c985ac672ddf1e52ad6

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.111709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.111709Z digest=sha256:9e146daab6122e16fdf6136acc280f8defb7f5ed9a5bf61910b36b23ba9809de

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.115006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.115006Z digest=sha256:a6df9cc8f6c034c9a0979c09f2f497445d5e0bfa02c1b7800ee51f39cf6e9ebd

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.118638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.118638Z digest=sha256:6401c334802bc27055f9d13a022b2509380b4b695ced19eb2826c0c43dee3d3c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.122201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.122201Z digest=sha256:e5f69902bfe694f904ec853a2a62cefc2a19d995c159bb1c42c23ab1ed7df73a

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.125605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.125605Z digest=sha256:05935846f6bab59231cb7109798dc2e750b34e102883ab885b08bda988951eec

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.129165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.129165Z digest=sha256:a689e21c78856af20bc82b663428081c2e414d9a6b79c4af290fab2c7c3593d3

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.132666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.132666Z digest=sha256:8685d6a0bb59fa689033c123b2be7b105e03e3fb2bd568f68de59758b0db24b5

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.136252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.136252Z digest=sha256:b3c6a2c0ffe83d8d966159b49380d178f2e450517614138f6b07eaf0039b3748

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.139806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.139806Z digest=sha256:af4998aea5555d567499a1523f26191e5e3683b9a62118c5a848f70cc1719cf2

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.143488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.143488Z digest=sha256:9082a3c8928035ec09174559d4830d997570ea59838c718aa4ab256168e57176

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.147413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.147413Z digest=sha256:2e001a3ab015ca1707a29e4c20f576a53e655bad4a69534d8b9dfdb3579c928c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.150978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.150978Z digest=sha256:687cde168c2f4ee21b170acd4af74bc4ed511356370be972be3e73a8960f525f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.154474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.154474Z digest=sha256:2fd7de8b312eee919628415d92cee910568c8f9fce6c801787beb6d73624d05a

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.157754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.157754Z digest=sha256:463483dd4a6f815934ab954f72920a3fff5f609d743d3efb76366e7f568ffc91

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.161251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.161251Z digest=sha256:210674726c4b243ac4a7ceb889013a96aac1558829c724bc272512b68a170d8c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.164835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.164835Z digest=sha256:10c390562154b9953fd8c1755a6bf68143d152946905363b1e36b785c1a1c5b9

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.168243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.168243Z digest=sha256:1311756a070df4d5c502ab08b7c9ccf90dbd58dadc081cbdd73d2564c6f2e5cd

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.171703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.171703Z digest=sha256:4965e93acfe379b6559d7641db881df06ba893e01291618e76bad7b0d48f3989

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.175124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.175124Z digest=sha256:399f64a766648496c68212cb9cba66a2bc579f3e7171e0a3aff3d420bee087a2

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.178699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.178699Z digest=sha256:2133f0121e281dabf36b2c684bdcb6275117733a29a846c0ae8a3cef053aa586

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.182597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.182597Z digest=sha256:1c6b8af6f2e33701f1606f127cbbdcfa4ea50870f1ae23580c170921e0ac9a64

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.186045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.186045Z digest=sha256:c09221e7586776dfee8b264458696be6b2e8ca1c6223806bcc652ec19aaedbba

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.189759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.189759Z digest=sha256:24b363b5a51c0e4745be71d9a0b7eb956f4602838301da3fb6255e4d5b993629

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.193478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.193478Z digest=sha256:7218189108e56f824c3809c35170cfc870da700cb47ff999e55f3c23371a35c5

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.197110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.197110Z digest=sha256:20876af69579cd69b14cfb27a2fc36128fe7c1a2a1746ecb25d67e9bc34f317d

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.200525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.200525Z digest=sha256:ec1df3d6f75ccc31119c7c20a59032ae3453d0133aea1ff4cb79fe19dccb1b18

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:42:18.203659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:18.203659Z digest=sha256:629515708663ab6c6f3bbb0e9c26b63e45b32c1a8985c9de0e721b4e47b61f63

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
unresolved
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:cfdf9a2ea9e7318e8aaa767e3fe8ec602c25e29997d39b28ae0a3e922c513042

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
unresolved
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=sha256:37c648543f740bdcc5fe1788ce1198635b7d1e0ba84e396195e4edcb6f101b6a

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=sha256:8fa7c2932eeb1fa393fa9534c3954868ad3ddda7dcfa2b3481b1c5a66991d139

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
unresolved
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=sha256:89cb956ac0bb4f9ee41d834b123da1697754a5372978961b2a80a727cd61f095

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=sha256:138179c85986f3de438998f5f440cf121b4e24ac5239e14e14310b38f32e559c

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
unresolved
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=sha256:092c9e5413300a227358c93f08002bf548219756c706551087f2daed06b94880

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
unresolved
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=sha256:8c37837aa67571eaf75aab074b23c7c79c8f59bbda034d71653f998023e57f83

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=sha256:7d811e78678f3e46adfbc81d8a3a2938e4cf0ac3fa35d0b046cb6ec1c90a10e0

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=sha256:48739e4ddd7137cf28bfea71c0a593b8c884ccc4453ba2c1750919ffa8e9c32e

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:cfde6f847ba1eed3b27326cd4a73baa73e7858eff441d48e0ecf6b8df4ead1af

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=sha256:0de8bf1ee0b51098a0ccc8580282069ec93f37c874a490d6fe84116ded4b04dc

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=sha256:5e1947dd78b235fb556958e087d73fbcee1ede5d51379fcdc83592b03d7bd46c

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:a50db805b0dd604c61832e5f62633dc3a92409d44a1d83982c5bc6f7b3d8faad

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=sha256:82fc486b0e70873a390c6e0bd5236029d22427c6043415edbabe8b6448b73eea

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.255995Z digest=sha256:5c4be4fadfe4d2be7af81c08c2fd75d6dd62952c767eb8f2beba342baa3cab2c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.259441Z digest=sha256:4047b6021a57f4dc752dd40206a37286eb9e260b993220917f627261a279fc87

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.262927Z digest=sha256:d114b7f09fe18192e1f92737f4e75c421ca03b16cf6d2504f4dfcfb90721e654

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.266298Z digest=sha256:46606033be74ad201bc1aa2cad135b4fe836d6f4a94e6cb8fc86c5159a000f3e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.269606Z digest=sha256:1e1854f7c46894c53c3b2e8dc498db5739cb10ca13d912c938b75b7fac7c31b1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.272904Z digest=sha256:7fe9639c38bda77d41ae31b5d5885b5986cc3ba62c455be4358b48a5ba099ee4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.276190Z digest=sha256:9bcc1de8e9edea38096e8124c59d1d0893535c048eabd57d72d99a92599d6332

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.279413Z digest=sha256:1922f09c68f0e0ef503ff58592b76413b7773e181a4f58f8ba11efd0ad3c7720

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.282923Z digest=sha256:df8847f0a27eea0c066b33228fbf19057bf245ce63543879ee5cf36177b925e9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.286291Z digest=sha256:000b4943fc38b28a52d49144943d331f77576b7f40ea2281af406b1e6c20da1e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.289701Z digest=sha256:01eaf8aa6df45f9faae81670232ab31775de9cb157fafe81ecce8ddc0d1902e6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.292843Z digest=sha256:831a4a95ad4b618f4f29ed8eb89c2ca10f8748a9d9be31fb52d9d1221c246669

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.296341Z digest=sha256:53c1b2506ac61c68497f5e4b9c4096aa73b88432195752a5c99ef24795ded45b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.299650Z digest=sha256:12953e245895313422b4d39c1512b46f14594701403a96cdd98b96710b785a04

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.303043Z digest=sha256:3bfb20cb378b6c424308521af0fbbb9d6dd0e55dc2af857d429a47db4336faf5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.306435Z digest=sha256:e5740f135d68a9b1671ceca98cc101786a216fcc0750e4c32d8d5767e13493f5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.310133Z digest=sha256:c48ba20ca10bbc51795fda8e65cc5d6d85e4c6fcea9b180e7e6d910207923397

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.313442Z digest=sha256:eb5f5211587edb9533f06caa588bd2f5b6008d5e7540445d8473b0ec9af35edd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.316179Z digest=sha256:6a888cdb31001b60cf19a3b8f04a3f2ac60713baa65e05bed41a3bead86033d1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.318987Z digest=sha256:b55daa3c037682a3d9f7ac4d6fe3728cf9d06d87df0e0c893a890a67670aee68

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.321797Z digest=sha256:b02f1f8063c51858e322f60cc862d4f6739e3380dca514d6fb69d046dabbeb8b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.324525Z digest=sha256:9917378a107c3d16410781bfd77afcfed3c77e16adfc5ed1f99717e1436852c7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.327468Z digest=sha256:1bb8f5d35127790c802c738fad024063b9049e33675d2451a21a4f8513b2104c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.330455Z digest=sha256:aedce3eb8642576a79f5812d2c4b983da4d52990dc69a81d3d553a5d241772d0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.333457Z digest=sha256:aab233849978437ffebcabd1e11e7ce8fedcb39abab16cc3c0aa5f6be43037b6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.336379Z digest=sha256:2954ce19c9f3699710554c9040523aea1ed93bc02653e66f88192ae3864d5e70

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.339181Z digest=sha256:035651e62714b1f955dba1bbdc89424574a92d38067480a8502ad585c2f4e41b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.342572Z digest=sha256:82412c2a38efe485146776f54d4b375f9369f97c9ce54e111a93a45f3583ae5a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.345958Z digest=sha256:918768ed1f8075dbe53c4db996722917a59cbe875ee531fa9cef6d013ab0ad0f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.349190Z digest=sha256:8431261127ea0e314bea09b9cd4b6c96f8dcf3e89a6ff1cb258820fb4d714e5a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.352643Z digest=sha256:dc34e592872069d6ea5efbb3b9fd0f3459a60fc852d82caa1a711148390f91f8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.355909Z digest=sha256:6009ec24352d3e8c2d56d1aca1b33cb6e08ea1622cb0c4c0e4876edac5cbcd7f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.359465Z digest=sha256:ca1b473616c796a41bdf6e68529dc4903708fa2a7536c336c7c6d21d5e6840c4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.362898Z digest=sha256:7e0715e0173e88840765cc556a821adad762a1cf4e89be8b1d988bef7c469c33

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.366193Z digest=sha256:fc97728e8e6713a8671e522ea4e3ba55f05af49d18b6098a40b412e1aef9e372

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.369462Z digest=sha256:22e54d3c465266f80c6a6c51e8432d20f2185ce7475891506e606a0e93b4c0bb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.373004Z digest=sha256:43c88977477ea6aeeea4d8bd0638530d59f024a069c15e3d6078a474b50615a7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.376264Z digest=sha256:df1fcbc1edefe922414443b78fb8775aac248dd7f67d9e8b824583c2a6900e8b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.379682Z digest=sha256:a00a5807ff35df27f759ba73f48551b866964f76e43611358ce2f50408ffd2fd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.383136Z digest=sha256:550c2a4bfaff1b1651a88d931f2912fe69f22e0f31b7e37347bdeeb66731835c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.386957Z digest=sha256:fa6ff7543abe9705bf224f5318735f853aa1677f7e2e0b49c43d7b52f36d111b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.390445Z digest=sha256:b8d89b7543565d3b7009f3f7ede85eafc201e46a4c060bb064304f6c98418628

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.393626Z digest=sha256:4fd7facf88bb351e8048b59ac5b41c0328766280d561f9f4aed7bafc6aa98020

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.396967Z digest=sha256:81fc1fc8dc8a581f9c101b211f77a24f7658d367cb455f4fe66b31948e980c28

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.400473Z digest=sha256:8fbb1ba5688796560c048a7d3067b6fe7279a46bf1dab8c83c79290414181b0e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.403840Z digest=sha256:342edea3b66039d39a2a6d96b8ccc40bfb2972e3e3db3d6762a7523ccf503ec7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.407141Z digest=sha256:f83f078a6897d01e789c72d5b7fd6bd076240312587b8359652a562639e471f0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.410364Z digest=sha256:1319f6f7965310c76e1a02098f8743b974745a24177199516e36882a3df07763

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.413871Z digest=sha256:cad6b9234482948f8d74f4a978827d6df4076c7de9e45ffeb443bba5ac06bee3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T14:42:18.417323Z digest=sha256:4909db5a4b51004f248748e15ee5ca6e24f6108184b868b3c484c64d427f7bac

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:7f6b889f363b338cfe67fdfaa7703fddc5ed7bcbc04bae048d78e69ce5e74c7d