% run_id: tailrisk_20160719_20260522_20260527T083659Z_commit_7f628ff4
% git_commit: 7f628ff4f66258a36314f492b652cdf7ef594b7e
% config_hash: 874b7125bfae77a6fb261d40af0f987d89e5bae1e5ebc54a3958be66f9c17b4c
% claim_level: research_candidate
% loss convention: realized_loss is positive loss for selected tail_side; lower FZ loss is better
\begin{tabular}{lllrrrrr}
\toprule
model & info & side & tail & rows & breach & q_loss & fz_loss \\
\midrule
LGBM direct quantile & JP only & left\_tail & 0.950 & 527 & 0.081594 & 0.001412 & -3.489349 \\
LGBM direct quantile & JP + US close core & left\_tail & 0.950 & 527 & 0.111954 & 0.001158 & -3.668401 \\
LGBM direct quantile & JP + US close core + JP proxy & left\_tail & 0.950 & 527 & 0.117647 & 0.001114 & -3.868878 \\
LGBM direct quantile & JP + US close core + JP proxy + Asia proxy & left\_tail & 0.950 & 527 & 0.117647 & 0.001119 & -3.807595 \\
\midrule
\multicolumn{8}{l}{\footnotesize Visible notes: candidate artifact; lower FZ loss is better; inference artifacts use block-bootstrap DM; common-sample status is recorded in metrics metadata.} \\
\bottomrule
\end{tabular}
