# Authors report that LLM agents struggle to coordinate in controlled settings [Canonical reading](https://escapemeridian.com/readings/authors-report-that-llm-agents-struggle-to-coordinate-in-ded433e9) The authors of “Zero-Shot Coordination among LLM Agents” study zero-shot coordination (ZSC): independently developed agents coordinating at test time. They say existing work often relies on specialised scaffolding that independently developed agents are unlikely to share, while evaluations in complex environments can make coordination failures hard to pinpoint. Instead, they test simple, general-purpose scaffolds in minimal environments designed to isolate coordination challenges. In these controlled settings, they report that frontier LLM agents struggle, largely because they have limited understanding of the coordination problem and reason weakly about their partner’s beliefs. The authors also say that although LLMs add semantic information as another possible basis for coordination, agents do not use it effectively. They propose Coordination-friendly definitions (CFDs) as an approach to robust coordination and report that CFDs can be discovered automatically, without manual engineering. The abstract does not give quantitative results or describe how the approach performs in more complex environments. Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims. ## Original source arXiv cs.AI · Article Original source date: Nov 4, 2026 (2026-11-04). Date basis: Date basis not provided. Added to Escape Meridian: 2026-11-09T12:38:16.164Z. First observed: 2026-11-05T05:06:35.367Z. Retrieved: 2026-11-09T12:31:25.835Z. - [Zero-Shot Coordination among LLM Agents](https://arxiv.org/abs/2611.06409) ## Limits The supplied evidence is the abstract, not the full paper; it does not provide quantitative results, details of the tested settings, or results for more complex environments. ## Open question How does coordination with CFDs compare in the paper’s minimal environments, and what results does it report for more complex environments? ## Source-stated The authors study zero-shot coordination, in which independently developed agents must coordinate at test time. > We study zero-shot coordination (ZSC), where independently developed agents must coordinate at test time. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source-stated The authors report that frontier LLM agents struggle to coordinate in the controlled settings they study, largely because of limited understanding of the coordination problem and weak reasoning about a partner’s beliefs. > Our results show that even in these controlled settings, frontier LLM agents struggle to coordinate, largely due to limited understanding of the coordination problem and weak reasoning about their partner's beliefs. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source-stated The authors say LLM agents do not effectively use semantic information as an additional basis for coordination. > While LLMs introduce semantic information as an additional axis for coordination, they nonetheless fail to exploit this structure effectively. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source-stated The authors propose Coordination-friendly definitions (CFDs) as an approach to robust coordination and report that they can be discovered automatically without manual engineering. > we propose Coordination-friendly definitions (CFDs) as a principled approach for enabling robust coordination among LLM agents. Finally, we show that CFDs can be discovered automatically, removing the need for manual engineering. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source and contributor context Hayler, Adrian, Chirra, Shashank Reddy, Lupu, Andrei, Forkel, Johannes, Sarkar, Bidipta, Feng, Siheng, Foerster, Jakob · Article author These are credits stated by the source; they do not establish a profile match or authorship of every passage. ## Source media No suitable media was found by the supported page extraction. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Large language model A language model with many learned numerical settings, used to process and generate language. - [Definition reference](https://developers.google.com/machine-learning/glossary#large-language-model) ## Zero-shot Doing a task without worked examples (zero-shot) or with only a few examples given in the prompt (few-shot). - [Definition reference](https://developers.google.com/machine-learning/glossary#zero-shot-prompting) ## arXiv arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed. - [Explore this context](/entities/arxiv) - [Reference](https://arxiv.org/) - [Reference](https://info.arxiv.org/help/api/index.html) ## TIME TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services. - [Explore this context](/entities/time) - [Reference](https://time.com/) ## Editorial provenance Version 1. Publication ID: 0b7afe7b-1006-4546-8943-980d2aa04f41. Prepared by gpt-6-luna; grounding review by gpt-6-luna. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-09T12:38:16.164Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: material\_development. Observation: ad4da84d8daba60b7ad76a0f5670a88b043d2fc2803a59e487112a538370e557. Source text hash: e15b87d7dc16b3c47178b6b7ece8363593b02aace06fc73c9181562ce1e6b203. ## Revision and source-check history ### Version 1 — 2026-11-09T12:38:16.164Z The authors of “Zero-Shot Coordination among LLM Agents” study zero-shot coordination (ZSC): independently developed agents coordinating at test time. They say existing work often relies on specialised scaffolding that independently developed agents are unlikely to share, while evaluations in complex environments can make coordination failures hard to pinpoint. Instead, they test simple, general-purpose scaffolds in minimal environments designed to isolate coordination challenges. In these controlled settings, they report that frontier LLM agents struggle, largely because they have limited understanding of the coordination problem and reason weakly about their partner’s beliefs. The authors also say that although LLMs add semantic information as another possible basis for coordination, agents do not use it effectively. They propose Coordination-friendly definitions (CFDs) as an approach to robust coordination and report that CFDs can be discovered automatically, without manual engineering. The abstract does not give quantitative results or describe how the approach performs in more complex environments. ## Original source arXiv cs.AI · Article Original source date: Nov 4, 2026 (2026-11-04). Date basis: Date basis not provided. Added to Escape Meridian: 2026-11-09T12:38:16.164Z. First observed: 2026-11-05T05:06:35.367Z. Retrieved: 2026-11-09T12:31:25.835Z. - [Zero-Shot Coordination among LLM Agents](https://arxiv.org/abs/2611.06409) ## Limits The supplied evidence is the abstract, not the full paper; it does not provide quantitative results, details of the tested settings, or results for more complex environments. ## Open question How does coordination with CFDs compare in the paper’s minimal environments, and what results does it report for more complex environments? ## Source-stated The authors study zero-shot coordination, in which independently developed agents must coordinate at test time. > We study zero-shot coordination (ZSC), where independently developed agents must coordinate at test time. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source-stated The authors report that frontier LLM agents struggle to coordinate in the controlled settings they study, largely because of limited understanding of the coordination problem and weak reasoning about a partner’s beliefs. > Our results show that even in these controlled settings, frontier LLM agents struggle to coordinate, largely due to limited understanding of the coordination problem and weak reasoning about their partner's beliefs. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source-stated The authors say LLM agents do not effectively use semantic information as an additional basis for coordination. > While LLMs introduce semantic information as an additional axis for coordination, they nonetheless fail to exploit this structure effectively. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source-stated The authors propose Coordination-friendly definitions (CFDs) as an approach to robust coordination and report that they can be discovered automatically without manual engineering. > we propose Coordination-friendly definitions (CFDs) as a principled approach for enabling robust coordination among LLM agents. Finally, we show that CFDs can be discovered automatically, removing the need for manual engineering. - [Supporting source](https://arxiv.org/abs/2611.06409) ## Source and contributor context Hayler, Adrian, Chirra, Shashank Reddy, Lupu, Andrei, Forkel, Johannes, Sarkar, Bidipta, Feng, Siheng, Foerster, Jakob · Article author These are credits stated by the source; they do not establish a profile match or authorship of every passage. ## Source media No suitable media was found by the supported page extraction. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Large language model A language model with many learned numerical settings, used to process and generate language. - [Definition reference](https://developers.google.com/machine-learning/glossary#large-language-model) ## Zero-shot Doing a task without worked examples (zero-shot) or with only a few examples given in the prompt (few-shot). - [Definition reference](https://developers.google.com/machine-learning/glossary#zero-shot-prompting) ## arXiv arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed. - [Explore this context](/entities/arxiv) - [Reference](https://arxiv.org/) - [Reference](https://info.arxiv.org/help/api/index.html) ## TIME TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services. - [Explore this context](/entities/time) - [Reference](https://time.com/) ## Editorial provenance Version 1. Publication ID: 0b7afe7b-1006-4546-8943-980d2aa04f41. Prepared by gpt-6-luna; grounding review by gpt-6-luna. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-09T12:38:16.164Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: material\_development. Observation: ad4da84d8daba60b7ad76a0f5670a88b043d2fc2803a59e487112a538370e557. Source text hash: e15b87d7dc16b3c47178b6b7ece8363593b02aace06fc73c9181562ce1e6b203. ### uncertain — 2026-11-09T12:38:16.164Z — anthropic/claude-opus-5.5 Publication: 0b7afe7b-1006-4546-8943-980d2aa04f41 attribution — pass: The reading attributes the study, findings and the CFD proposal to the paper's authors. It keeps the results as their reports rather than established facts. Title and author context match the arXiv page. > Title:Zero-Shot Coordination among LLM Agents summary — uncertain: The summary is faithful, but a non-specialist would struggle with several central terms. 'Scaffolding', 'test time', 'frontier LLM agents' and 'semantic information' are not explained. CFDs are named but never described, and the abstract gives no definition. The reading also never says why agent coordination matters, even though the source mentions increasing deployment. Smallest repair: add plain-language glosses or tooltips for these terms, note the deployment context, and state that the abstract does not explain what a CFD is. The question's 'compare' lacks a baseline, and it presumes results for complex environments exist. > far less is known about the performance of LLM agents despite their increasing deployment in such settings date — pass: The originalPublished date of 2026-11-04 matches the arXiv v1 submission date. The feed date is later and is correctly not used. > \[Submitted on 4 Nov 2026\] support — pass: Each claim is backed by a verbatim abstract excerpt. The limitation noting the absence of quantitative results and complex-environment results is accurate for the abstract. No unsupported benefits, costs or forecasts are added, and CFD robustness is framed as a proposal. > Our results show that even in these controlled settings, frontier LLM agents struggle to coordinate media — pass: The selected media is the verified direct link to the original arXiv abstract page, which is the source itself. ## Recorded references Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter. No public references recorded here yet. [Reference data (JSON)](/readings/ded433e94ad27de3710b6e78cc74db64756c3fa82ea7eada69b3962e92870ade/references.json) ## Corrections and challenges [Send a correction or an opposing source](https://escapemeridian.com/corrections/) [JSON record](https://escapemeridian.com/readings/authors-report-that-llm-agents-struggle-to-coordinate-in-ded433e9.json)