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IJCAI-2026 Chinese-Standard-Mahjong — Phase-1 artifacts

Models and datasets from the IJCAI-2026 Botzone Chinese-Standard-Mahjong campaign. Code + write-up: https://github.com/SuuTTT/IJCAI-mahjong · Autopsy: docs/phase1_autopsy.html.

models/

file what
cnn_lad_chunjiandu.pkl / .npz The lock / submission. 40-block ResNet (128ch) distilled from the strongest coherent ladder teacher.
cnn_distill100b.pkl Safe-floor multi-teacher BC baseline.
strong5_aw_b0.3.pkl, strong5_aw_b0.5.pkl Cycle-1 strong-teacher distill (8,888 dec, AWBC).
strong5_full_aw_b0.3.pkl Cycle-2 pooled strong-5 (24,401 dec).
typec_full_aw_b0.3.pkl, typec_full_aw_b0.5.pkl Cycle-2 TypeC青雀 single coherent teacher (7,733 dec).
mythos_full_aw_b0.4.pkl Cycle-2 mythos (strongest bot, 4,104 dec).

Result: none of the distill candidates beat lad_chunjiandu in 144-game duplicate gauntlet (best, TypeC β0.3, ties at −24/144g). lad_chunjiandu stays the submission. See repo paper/evidence/.

data/

Strong-teacher decision datasets (obs, mask, act, score for advantage-weighted BC), extracted from Simulation-8 duplicate logs of the field's strongest non-LLM bots.

file decisions
strong5.npz 8,888 (pooled, opponent-appearances)
strong5_full.npz 24,401 (pooled, full target sets)
typec_full.npz 7,733 (TypeC青雀, SIM-8 + global)
mythos_full.npz 4,104 (mythos)

Format matches deploy/caiest_cnn/feature.py (38-plane obs, 235-action space; Play=indices 2..35).

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