第五轮：锁/续跑/超时/自动分支/R4 探针与 encode-once/控制台加固；阶段内断点续跑（gen 按条、prep 按 shard、训练与 APG 定时原子存档+体面停止）；分歧以实现方意见为准

ml/mining/gate.py

@@ -45,9 +45,9 @@ def main():
     so_side = torch.cat([p['side'] for _, p in po]); sn_side = torch.cat([p['side'] for _, p in pn])
     det = torch.tensor([c in ('B', 'C') for c in cat])
     # 2026-10-18：左右比例按全部 B/C 题的首次 J1 方向统计，不以到达为条件（APG 把一侧绕行全做失败时，到达子集比例可纹丝不动）
-    left = lambda sd, ok: (((sd > 0) & det).sum() / det.sum().clamp(min=1)).item()
+    left = lambda sd: (((sd > 0) & det).sum() / det.sum().clamp(min=1)).item()   # side 为首次 J1 方向（closed_loop，第五轮改）
     ok_o, ok_n = torch.tensor(so, dtype=torch.bool), torch.tensor(sn, dtype=torch.bool)
-    lr_shift = abs(left(sn_side, ok_n) - left(so_side, ok_o)) * 100
+    lr_shift = abs(left(sn_side) - left(so_side)) * 100
     both = ok_o & ok_n
     tro = torch.cat([p['travel'] for _, p in po]); trn = torch.cat([p['travel'] for _, p in pn])
     travel_ratio = (trn[both].median() / tro[both].median().clamp(min=1e-6)).item() if both.any() else None