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Three CoreX accelerators from base image (Sub168 had all three): 1. corex_gdn — GatedDeltaNet fused prefill/decode 2. corex_moe — MoE fused prefill/decode (expert-grouped-wmma) 3. corex_fa2 — Flash Attention 2 (handled by xformers patches) qwen3_5.py now 1477 lines (was 1369): - GatedDeltaNet.forward() → try CoreXGDN.forward() → except → PyTorch - Qwen3_5MoeSparseBlock.forward() → try corex_moe.moe_forward() → except → PyTorch - Module-level probe: import corex_gdn/corex_moe with graceful fallback patch_ops.sh: always deploy our qwen3_5.py (it handles both scenarios) If corex modules exist in base image → 10x speedup (Sub168 evidence) If corex modules missing → same behavior as before (pure PyTorch) Also added ENGINE_CODEPATH_TIMELINE.md — the full runtime diff between Sub168 (score 60194) and our Sub508 (score 0).