The Inference Scaling Law: Why Test-Time Deliberation, Tree Search, and Process Verifiers Broke the Pre-Training Monopoly
A first-principles mathematical and architectural dissection of inference-time scaling: why pre-training FLOPs hit logarithmic decay, how test-time compute converts autoregression into dynamic graph search, and why Process Reward Models redefine the economics of intelligence.
