Rank-16, alpha-32 Qwen3.5-9B LoRA trained for one epoch on 2,875 parsed varied-deception reasoning traces produced by GPT-OSS-120B. The teacher was ground-truth blind: it saw only the observable conversation and final output, generated a concise material-claim rationale, and supplied its own binary decision. Its mistakes were retained rather than corrected or filtered by ground-truth labels. Training used AdamW at 5e-5 with effective batch size 32.

The submission renders observable conversation and output only, disables Qwen thinking, and normalizes the next-token logits for literal 0|1 directly after Prediction: without generating the learned rationale. The adapter is intended for the matching competition notebook and is not a general-purpose truth classifier.

The adapter_model.safetensors SHA-256 is bfe4a35ceb11055e7b7e77d29cc7027ccb5daa355703d9acd4d14eb03db01931. The deployed Hugging Face repository is Jazhyc/aletheias-phoenix-blind-reasoning-r16; the initial upload commit is eaeb37ce03d791db340114eb9132494d7081d31f.