Success bias in collective theory-building leads to systematic overestimation of theory quality, narrower search, and paradoxically lower performance when agents optimize for apparent success.
Bibliometrics: The Leiden manifesto for research metrics
4 Pith papers cite this work. Polarity classification is still indexing.
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pAI/MSc is a customizable multi-agent system that reduces human steering by orders of magnitude when turning a hypothesis into a literature-grounded, mathematically established, experimentally supported manuscript draft in ML theory.
The Φ index standardizes journal citation averages as Φ = (f - μ)√n / σ using field mean μ and standard deviation σ to correct for size and field effects.
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pAI/MSc: ML Theory Research with Humans on the Loop
pAI/MSc is a customizable multi-agent system that reduces human steering by orders of magnitude when turning a hypothesis into a literature-grounded, mathematically established, experimentally supported manuscript draft in ML theory.