Rank-16/alpha-32 LoRA for Qwen/Qwen3.5-9B, trained for Phoenix Wright 8.1. The student uses normalized literal 0|1 logits directly after Prediction: and does not generate judge reasoning.

The training mixture contains the 6,573 Phoenix 8 competition rows plus 6,576 label-balanced Liars' Bench rows from harm-pressure choice, harm-pressure knowledge reports, insider trading, and soft-trigger scenarios. Kimi K3 provided binary soft targets through OpenRouter. Training used two epochs of AdamW at 5e-5, effective batch size 32, and binary soft-target BCE only.

On the disjoint 800-row Liars holdout, macro-category AUROC increased from 0.86255 for the Phoenix 8 adapter to 0.93915. Per-category AUROC was 0.90355 harm-pressure choice, 0.91190 knowledge reports, 0.97140 insider trading, and 0.96975 soft trigger. On the matched 822-row competition validation set, macro AUROC was 0.96214, versus 0.96417 for Phoenix 8; Phoenix 8.1 is therefore an explicit OOD-transfer choice rather than an in-distribution validation promotion.

The 256 canonical Qwen3.5 LoRA tensors are retained in FP32. A BF16 canary was not exact for these weights, so the compressed copy was not promoted. The adapter_model.safetensors SHA-256 is 7159a413cf7bf569b1e7819f17b54248d48b8e18b8d56be950b872445195e136.

This adapter is intended for the matching competition notebook and is not a general-purpose truth classifier.