---
format: "aidr-story-markdown/v1"
id: "9f810e2e7868773bb7d353ff70104830d5a469c75938e050292a6a6e2034a413"
canonical_url: "https://aidr.today/9f810e2e?lang=en"
title: "PRISM: PRIvileged Sibling-guided Multi-Agent Topology Design"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-16T04:00:00.000Z"
category: "Research"
topics: ["agent"]
source_urls: ["https://arxiv.org/abs/2610.20628","https://huggingface.co/papers/2610.20628"]
summary: "PRISM (PRIvileged Sibling-guided Multi-Agent Topology Design) is a post-training method that recovers per-query signal from existing corpora by using a teacher with privileged information from a sibling graph to guide a student model in generating collaboration topologies for multi-agent systems. The approach addresses the limitation of current methods that lack per-query preference ranking, causing drift toward frequently occurring topologies rather than query-specific ones."
---

# PRISM: PRIvileged Sibling\-guided Multi\-Agent Topology Design

> [Open the canonical story](<https://aidr.today/9f810e2e?lang=en>)

**Published:** 2026-10-16T04:00:00.000Z
**Category:** Research
**Topics:** agent

## Summary

PRISM \(PRIvileged Sibling\-guided Multi\-Agent Topology Design\) is a post\-training method that recovers per\-query signal from existing corpora by using a teacher with privileged information from a sibling graph to guide a student model in generating collaboration topologies for multi\-agent systems\. The approach addresses the limitation of current methods that lack per\-query preference ranking, causing drift toward frequently occurring topologies rather than query\-specific ones\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.20628>)
- [Story source](<https://huggingface.co/papers/2610.20628>)

