CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades explores A multi-agent deliberation system for LLM cascades that uses consensus-driven ensembles to resolve ambiguities internally, reducing costs and improving accuracy.. Commercial viability score: 7/10 in Agents.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Freshness
Canonical route: /paper/cascadedebate-multi-agent-deliberation-for-cost-aware-llm-cascades
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Proof Quality
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Agent Handoff
Canonical ID cascadedebate-multi-agent-deliberation-for-cost-aware-llm-cascades | Route /paper/cascadedebate-multi-agent-deliberation-for-cost-aware-llm-cascades
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/cascadedebate-multi-agent-deliberation-for-cost-aware-llm-cascadesMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12262"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades",
"normalized_query": "2604.12262",
"route": "/paper/cascadedebate-multi-agent-deliberation-for-cost-aware-llm-cascades",
"paper_ref": "cascadedebate-multi-agent-deliberation-for-cost-aware-llm-cascades",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 7.0
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