Rank-16/alpha-32 LoRA for Qwen/Qwen3.5-9B, trained as the ordinary-row judge in the Phoenix Wright 6.3 Aletheia's Quest submission.

The teacher was Qwen/Qwen3.5-397B-A17B-FP8. It scored the normalized literal 0|1 boundary immediately after Prediction: with the frozen no-thinking Truth Value Guard prompt. The student used all 2,880 varied-deception training rows for two epochs with AdamW at 5e-5, effective batch size 32, and only binary soft-target BCE. It received no generated reasoning, hard-label loss, completion loss, or pairwise loss.

The frozen Qwen3.5-9B base ran in BF16. Soft targets, LoRA weights, AdamW state, binary margins, and BCE were FP32. The 256 adapter tensors use canonical Qwen3.5 paths under model.language_model.layers and explicitly exclude visual modules.

Local validation direct-margin results:

These results are local competition diagnostics and do not guarantee transfer to private datasets. The adapter is intended for continuous direct-boundary scoring; it does not generate judge reasoning at inference.