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@@ -103,7 +103,7 @@ python scripts/inference.py
 python scripts/result.py
 ```
 
-Outputs are written to `results/`. The long-horizon (4.8 time units) MAE for `(h, mx, my)` is `(1.4063e-3, 1.8558e-3, 1.7632e-3)`; the paper's Table 3 two-times extrapolation means are `(1.75e-3, 2.38e-3, 2.30e-3)`. Our result is one seed, not a reproduction of the paper's multi-seed mean and standard deviation.
+Outputs are written to `results/`. At the long-horizon endpoint (4.8 time units), MAE for `(h, mx, my)` is `(1.5568e-3, 1.9634e-3, 1.7648e-3)`; averaging over all predicted steps gives `(1.4063e-3, 1.8558e-3, 1.7632e-3)`. The paper's Table 3 two-times extrapolation means are `(1.75e-3, 2.38e-3, 2.30e-3)`. This run uses one seed rather than the paper's five independently trained models, so the figures are not a strict like-for-like reproduction.
 
 # OneScience Repositories