diff --git a/example/uv.lock b/example/uv.lock
index 514e9365..f09cb6a0 100644
--- a/example/uv.lock
+++ b/example/uv.lock
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 [[package]]
 name = "torch"
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+version = "2.13.0+xpu"
 source = { registry = "https://download.pytorch.org/whl/xpu" }
 dependencies = [
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@@ -1281,6 +1292,7 @@ dependencies = [
     { name = "onemkl-sycl-lapack" },
     { name = "onemkl-sycl-rng" },
     { name = "onemkl-sycl-sparse" },
+    { name = "pyzes", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
     { name = "setuptools" },
     { name = "sympy" },
     { name = "tbb" },
@@ -1290,14 +1302,12 @@ dependencies = [
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+    { url = "https://download-r2.pytorch.org/whl/xpu/torch-2.13.0%2Bxpu-cp312-cp312-manylinux_2_28_x86_64.whl", upload-time = "2026-07-08T11:28:53Z" },
+    { url = "https://download-r2.pytorch.org/whl/xpu/torch-2.13.0%2Bxpu-cp312-cp312-win_amd64.whl", upload-time = "2026-07-08T11:28:59Z" },
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 [[package]]
@@ -1333,7 +1343,7 @@ wheels = [
 
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 dependencies = [
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@@ -1341,14 +1351,12 @@ dependencies = [
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 [[package]]
@@ -1365,20 +1373,18 @@ wheels = [
 
 [[package]]
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+version = "3.7.2"
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 dependencies = [
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 ]
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 [[package]]
@@ -1401,14 +1407,14 @@ wheels = [
 
 [[package]]
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+version = "1.1.0"
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 ]
 
 [[package]]
diff --git a/pyproject.toml b/pyproject.toml
index 6dd022f5..2f576950 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -83,8 +83,8 @@ Source = "https://github.com/CAIIVS/raitap/"
 
 [project.optional-dependencies]
 # Backend module
-torch-cpu = ["torch>=2.8.0,<2.9.0", "torchvision>=0.20.0,<0.24.0"]
-torch-cuda = ["torch>=2.8.0,<2.9.0", "torchvision>=0.20.0,<0.24.0"]
+torch-cpu = ["torch>=2.13.0,<2.14.0", "torchvision>=0.20.0,<0.24.0"]
+torch-cuda = ["torch>=2.13.0,<2.14.0", "torchvision>=0.20.0,<0.24.0"]
 torch-intel = [
   # Intel XPU stays on torch>=2.10.0 (unchanged from main): the only torch in the
   # 2.8 window on the xpu index is 2.8.0+xpu, whose pinned pytorch-triton-xpu==3.4.0
@@ -102,13 +102,13 @@ torch-intel = [
 onnx-cpu = [
   "onnx>=1.21.0",
   "onnxruntime>=1.24.4",
-  "torch>=2.8.0,<2.9.0",
+  "torch>=2.13.0,<2.14.0",
   "torchvision>=0.20.0,<0.24.0",
 ]
 onnx-cuda = [
   "onnx>=1.21.0",
   "onnxruntime-gpu>=1.24.4",
-  "torch>=2.8.0,<2.9.0",
+  "torch>=2.13.0,<2.14.0",
   "torchvision>=0.20.0,<0.24.0",
 ]
 onnx-intel = [
@@ -138,7 +138,7 @@ transparency = ["raitap[shap,captum]"]
 # compute. Bundled here and routed to the CPU index in [tool.uv.sources] (like
 # onnx-cpu bundles torch); XGBoost runs on CPU here, so the CPU build suffices and
 # this extra stays hardware-variant-free.
-xgboost = ["xgboost>=2.0", "scikit-learn>=1.3", "torch>=2.8.0,<2.9.0"]
+xgboost = ["xgboost>=2.0", "scikit-learn>=1.3", "torch>=2.13.0,<2.14.0"]
 
 # Text model backend (HuggingFace) — AutoModelForSequenceClassification +
 # AutoTokenizer loading for the text input modality. Does not bundle torch:
diff --git a/uv.lock b/uv.lock
index 20e47b9d..9a865fda 100644
--- a/uv.lock
+++ b/uv.lock
@@ -195,7 +195,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.14.0"
+version = "3.14.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -207,67 +207,67 @@ dependencies = [
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     { name = "yarl" },
 ]
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