Phoenix Wright main adapter
Rank-16, alpha-32 Qwen3.5-9B LoRA trained for one epoch on all 2,880
varied-deception rows using concise privileged Truth Value Guard reasoning
traces produced by GPT-5.6 Luna at medium reasoning effort. The teacher received
the authoritative label while constructing each trace. Training used AdamW at
5e-5 with effective batch size 32.
Competition consumers render observable conversation and output only and
disable Qwen thinking. They can normalize literal 0|1 next-token logits
either directly after Prediction: or after generating the learned rationale
and removing its selected label. The adapter is intended for the matching
competition notebooks and is not a general-purpose truth classifier.
The adapter_model.safetensors SHA-256 is
da83f294a248a97ddf07ff7a458280f0990dea329e61fc5e2aec8faec8c61d17.
The deployed Hugging Face repository is
Jazhyc/aletheias-phoenix-luna-medium-reasoning-r16; the initial upload commit
is fa52f5e7f6a36d7d06e6718c65bd00fd4d11658f.
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