Rank-16/alpha-32 LoRA for Qwen/Qwen3.5-9B, trained as the ordinary-row judge and reused for all primary routes in Phoenix 8.0. The teacher was moonshotai/kimi-k3, served by Fireworks through OpenRouter and evaluated at the literal 0|1 boundary after Prediction: with the frozen no-thinking Truth Value Guard prompt. The student used all 6,573 available training rows: 3,693 instructed-deception rows and 2,880 varied-deception rows. It trained for two epochs with AdamW at 5e-5, effective batch size 32, and binary soft-target BCE only.

The Qwen3.5-9B base ran in BF16. Soft targets, LoRA weights, AdamW state, binary margins, and BCE were FP32. The adapter received no generated reasoning, hard-label loss, completion loss, or pairwise loss. Its 256 tensors use canonical Qwen3.5 paths under model.language_model.layers and exclude visual modules.

Phoenix 8.0 applies the exact Phoenix 4.0 observable-input renderer on ordinary rows and the semantic HP-KR/action prompts on their routed rows. Every prompt terminates directly at Prediction: without a reasoning-summary instruction or scaffold. It scores the normalized literal 0|1 next-token margin directly, without generating judge reasoning. Frozen ordinary local validation macro AUROC was 0.96411 (0.99854 instructed, 0.91819 varied). A later same-session test anchor scored 0.96625 (0.99479 instructed, 0.92819 varied); these are local competition diagnostics and do not guarantee private transfer.

The matching public repository is Jazhyc/aletheias-phoenix-v8-kimi-k3-tvg-soft-full-r16-ep2. The canonical adapter_model.safetensors SHA-256 is c3be0b58b5caf5750b3dea06b5a1490cb735483adaba51f6f09568054531edc0. This adapter is intended for the matching competition notebook and is not a general-purpose truth classifier.