Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems explores An AI-powered platform for scalable problem reductions, enabling easy integration of diverse computational problems with various solvers through a robust harness engineering approach.. Commercial viability score: 8/10 in AI 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/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems
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Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
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Agent Handoff
Canonical ID problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems | Route /paper/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problemsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.11535"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems",
"normalized_query": "2604.11535",
"route": "/paper/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems",
"paper_ref": "problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems",
"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 8.0
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