The Cartesian Cut in Agentic AI explores This paper proposes a theoretical framework for understanding control in agentic AI systems, contrasting Cartesian agency with integrated approaches.. Commercial viability score: 1/10 in Agents.
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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/the-cartesian-cut-in-agentic-ai
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Proof Quality
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Agent Handoff
Canonical ID the-cartesian-cut-in-agentic-ai | Route /paper/the-cartesian-cut-in-agentic-ai
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/the-cartesian-cut-in-agentic-aiMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.07745"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "The Cartesian Cut in Agentic AI",
"normalized_query": "2604.07745",
"route": "/paper/the-cartesian-cut-in-agentic-ai",
"paper_ref": "the-cartesian-cut-in-agentic-ai",
"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 1.0
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