Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation

Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/diversity-collapse-in-multi-agent-llm-systems-structural-coupling-and-collective-failure-in-open-ended-idea-generation

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-21
Score updated: 2026-04-21
Score fresh until: 2026-05-21
References: 0
Source count: 4
Coverage: 83%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID diversity-collapse-in-multi-agent-llm-systems-structural-coupling-and-collective-failure-in-open-ended-idea-generation | Route /signal-canvas/diversity-collapse-in-multi-agent-llm-systems-structural-coupling-and-collective-failure-in-open-ended-idea-generation

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MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 6

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation

PDF: https://arxiv.org/pdf/2604.18005v1

Repository: https://github.com/Xtra-Computing/MAS_Diversity

Source count: 4

Coverage: 83%

Last proof check: 2026-04-21T20:33:49.257Z

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Not build-ready: Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation

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Subject: Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation

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Claim map

Strong 6Mixed 0Weak 0

Evidencepartial
Collective Failure in Open-Ended Idea Generation Nuo Chen1 Yicheng Tong1 Yuzhe Yang2 Yufei He1 Xueyi Zhang2 Qian Wang1 Qingyun Zou1 Bingsheng He1 1National University of Singapore 2The Chinese University of Hong Kong
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0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35Pairwise Distance Semantic Dispersion Physics (Hard Constraint) Policy (Soft Constraint) Creative (No Constraint)
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Evidencepartial
1.6 1.8 2.0 2.2 2.4 2.6 2.8Vendi Score Effective Diversity Figure 12:The Intrinsic Entropy Spectrum across Cognitive Domains.We benchmark baseline diversity (Inner-Topic Vendi Score
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of Chaos.AI Research uniquely combines high entropy (Vendi Score>2.6 ; Figure 12, Right) with strict logical rigor, requiring both broad exploration and logical soundness
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Evidencepartial
structural effects. Because Figure 12 compares only baseline intrinsic entropy across domains and does not re-run the topology manipulations on the other tasks
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the 2025 Conference on Empirical Methods in Nat- ural Language Processing: Industry Track, pages 2061–2070, Suzhou (China). Association for Com- putational Linguistics. Yunxuan Li, Yibing Du, Jiageng Zhang, Le Hou
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Verificationpartial
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Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation

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