#particle-filtering News & Analysis

Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability

Researchers present three techniques for inference-time scaling that extend beyond verifiable domains by using intrinsic statistical signals from parallel samples to assess solution quality without ground truth. The methods—Intrinsic Selection, Intrinsic Particle Filtering, and Particle Distillation—improve performance on open-ended tasks like engineering design and clinical reasoning by 6-26% without requiring trained reward models.