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Task decomposition quality is the critical bottleneck in skill composition, and our Iterative Skill-Aware Decomposition method dramatically boosts accuracy and retrieval performance.
Moderate geometric convergence in LLMs can coexist with near-perfect functional transfer, challenging assumptions about structural alignment across architectures.
