Increasing LLM coding agents' reasoning effort raises cost and process complexity but does not reliably improve model quality across 140 controlled runs on networked anagram game data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
CONDITIONAL 2representative citing papers
A pre-registered experiment on Claude Opus 4.8 agents confirms an information-theoretic capacity region for coupled LLM-agent markets (with one key result being an algebraic identity) and finds that LLM populations exhibit attractor dynamics with dispersion collapse rather than smooth mean-field响应.
citing papers explorer
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An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery
Increasing LLM coding agents' reasoning effort raises cost and process complexity but does not reliably improve model quality across 140 controlled runs on networked anagram game data.
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Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test
A pre-registered experiment on Claude Opus 4.8 agents confirms an information-theoretic capacity region for coupled LLM-agent markets (with one key result being an algebraic identity) and finds that LLM populations exhibit attractor dynamics with dispersion collapse rather than smooth mean-field响应.