Memorization Diagnostics for Code LLMs Should be Scale-Aware
It is revealed that scaled encoders successfully absorb substantial representation load while still converging on the correct family of solutions, and this ability to adapt to varying surface forms is what truly matters for usability and generalizability in LLM and agentic applications.