PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing explores A multi-agent framework that automates the writing of AI research papers from raw materials, including literature synthesis and visuals.. Commercial viability score: 7/10 in AI Research Automation.
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/paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing
Verification is still converging across references, source coverage, and proof checks.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
Commercialization rails stay hidden until proof clears: proof_status, references_count, source_count, coverage.
Search indexing stays off until proof clears: proof_status, references_count, source_count, coverage.
Agent Handoff
Canonical ID paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing | Route /paper/paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writingMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.05018"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing",
"normalized_query": "2604.05018",
"route": "/paper/paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing",
"paper_ref": "paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing",
"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.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 7.0
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