Sieve-9B-Plus is a decision model from the Sieve family. You give it a piece of text or JSON (the state) and typed questions, and it returns a calibrated probability for every option of every question. It reads the state once, scores the options directly, and never generates text. It is a LoRA adapter (rank 32) and a pointer head on Qwen/Qwen3.5-9B (revision c2022362), and it stores one calibration temperature per question category. The code is at - Backbone. Only the text part of Qwen3.5-9B is used; the model cannot produce text. - Readout. A pointer head scores the end of each option against the decision point. A calibrated softmax gives the probabilities. - Isolation. Each question runs…