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Introduces IG-Bench, a benchmark for scientific lineage reasoning and idea generation, representing scientific works as Idea Genome objects. Evaluates 14 LLM-based scientists, finding a compositional bottleneck with the strongest system achieving only 27.3% exact accuracy on lineage reasoning.
This paper analyzes 935 ablation experiments from 161 publications to show that AI architectural evolution follows the same statistical laws as biological evolution, including heavy-tailed fitness effect distributions and punctuated equilibria dynamics. The findings suggest that evolutionary statistical structure is substrate-independent, determined by fitness landscape topology rather than the mechanism of selection.