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Article

Structured Scaling of AI Discovery Across Diverse Scientific Domains

2026-08-28

Abstract excerpt

<title>Abstract</title> <p>Scientific discovery often requires many cycles of proposing, testing, and refining candidate solutions. Language models can increasingly participate in these loops, but simply generating more attempts does not ensure progress: parallel searches may duplicate one another and iterative refinement may become trapped in poor directions. The central challenge is therefore not only to scale...

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Identifiers and source

Literature Corpus work
9a2c3e35-0208-5e12-a509-45a3de54ecac
DOI
10.21203/rs.3.rs-10631214/v1
Open publication

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Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

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Structured Scaling of AI Discovery Across Diverse Scientific DomainsDOI 10.21203/rs.3.rs-10631214/v1
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