A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs

A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/a-training-free-mixture-of-agents-framework-for-multi-document-summarization-using-llms-and-knowledge-graphs

ready

Proof freshness: fresh
Proof status: unverified
Display score: 4/10
Last proof check: 2026-06-03
Score updated: 2026-06-03
Score fresh until: 2026-07-03
References: 0
Source count: 3
Coverage: 50%

Page-specific freshness sourced from this paper's evidence receipt and score bundle.

Agent Handoff

Canonical ID a-training-free-mixture-of-agents-framework-for-multi-document-summarization-using-llms-and-knowledge-graphs | Route /signal-canvas/a-training-free-mixture-of-agents-framework-for-multi-document-summarization-using-llms-and-knowledge-graphs

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/a-training-free-mixture-of-agents-framework-for-multi-document-summarization-using-llms-and-knowledge-graphs

MCP example

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    "query_text": "Summarize A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs"
  }
}

source_context

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Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs

PDF: https://arxiv.org/pdf/2606.03867v1

Source count: 3

Coverage: 50%

Last proof check: 2026-06-03T20:46:38.644Z

Signal Canvas receipt window

Not build-ready: A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs

/buildability/a-training-free-mixture-of-agents-framework-for-multi-document-summarization-using-llms-and-knowledge-graphs

Ignoreblocked

Subject: A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs

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