---
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canonical_url: "https://aidr.today/1323a934?lang=en"
title: "Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-06T04:00:00.000Z"
category: "Research"
topics: ["agent"]
source_urls: ["https://arxiv.org/abs/2610.03769"]
summary: "The paper introduces a framework called receiver-relative bounded coordination to study when short messages improve multi-agent system decisions versus when raw context is preferable. It finds that even Bayes-sufficient compression can fail when a bounded executor cannot use its surface form, and that sender upgrades help above a receiver-burden threshold under a single-crossing condition. Across six benchmarks, the same Qwen protocol raises ContextBench joint accuracy from 0.633 to 0.775 but lowers ToolSandbox from 0.889 to 0.653."
---

# Bayes\-Sufficient Compression Is Not Enough: How Does Communication Help Multi\-Agent Systems?

> [Open the canonical story](<https://aidr.today/1323a934?lang=en>)

**Published:** 2026-10-06T04:00:00.000Z
**Category:** Research
**Topics:** agent

## Summary

The paper introduces a framework called receiver\-relative bounded coordination to study when short messages improve multi\-agent system decisions versus when raw context is preferable\. It finds that even Bayes\-sufficient compression can fail when a bounded executor cannot use its surface form, and that sender upgrades help above a receiver\-burden threshold under a single\-crossing condition\. Across six benchmarks, the same Qwen protocol raises ContextBench joint accuracy from 0\.633 to 0\.775 but lowers ToolSandbox from 0\.889 to 0\.653\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.03769>)