diff --git a/CHANGELOG.md b/CHANGELOG.md
index cd176bbb..c83b7570 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,16 @@
 # CHANGELOG
 
+## v1.0.0 - 10.03.2026
+Stable release!
+
+The package is now deemed stable which is supported by the [publication](https://jmlr.org/papers/v26/24-1185.html) of our paper in JMLR!
+Please consider citing us if you use the library.
+
+Besides, there are some maintenance updates:
+* Constrain versions of dependendencies due to external incompatibilities by
+  @stoprightthere in
+  https://github.com/geometric-kernels/GeometricKernels/pull/174 and https://github.com/geometric-kernels/GeometricKernels/pull/175
+
 ## v0.4.2 - 11.02.2026
 Maintance release (https://github.com/geometric-kernels/GeometricKernels/pull/173).
 * Fix compatibility with modern `plum-dispatch`/`numpy`.
diff --git a/CITATION.bib b/CITATION.bib
index a729e293..7df740b3 100644
--- a/CITATION.bib
+++ b/CITATION.bib
@@ -1,6 +1,10 @@
-@article{mostowsky2024,
-      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
-      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
-      year = {2024},
-      journal = {arXiv:2407.08086},
+@article{JMLR:v26:24-1185,
+  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
+  title   = {The GeometricKernels Package: Heat and Mat{\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
+  journal = {Journal of Machine Learning Research},
+  year    = {2025},
+  volume  = {26},
+  number  = {276},
+  pages   = {1--14},
+  url     = {http://jmlr.org/papers/v26/24-1185.html}
 }
\ No newline at end of file
diff --git a/CITATION.cff b/CITATION.cff
index 16febcf9..10bf65d1 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -25,5 +25,10 @@ preferred-citation:
     given-names: "Alexander"
   - family-names: "Borovitskiy"
     given-names: "Viacheslav"
-  year: "2024"
-  journal: "arXiv:2407.08086"
\ No newline at end of file
+  year: "2025"
+  journal: "Journal of Machine Learning Research"
+  volume: "26"
+  issue: "276"
+  start: 1
+  end: 14
+  url: "http://jmlr.org/papers/v26/24-1185.html"
diff --git a/README.md b/README.md
index 5c5e4ae4..218df743 100644
--- a/README.md
+++ b/README.md
@@ -198,13 +198,17 @@ This [link](https://github.com/geometric-kernels/GeometricKernels/issues/new?ass
 
 ## Citation
 
-If you are using GeometricKernels, please cite the following [paper](https://arxiv.org/pdf/2407.08086):
+If you are using GeometricKernels, please cite the following [paper](https://jmlr.org/papers/volume26/24-1185/24-1185.pdf):
 ```
-@article{mostowsky2024,
-      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
-      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
-      year = {2024},
-      journal = {arXiv:2407.08086},
+@article{JMLR:v26:24-1185,
+  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
+  title   = {The GeometricKernels Package: Heat and Mat{\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
+  journal = {Journal of Machine Learning Research},
+  year    = {2025},
+  volume  = {26},
+  number  = {276},
+  pages   = {1--14},
+  url     = {http://jmlr.org/papers/v26/24-1185.html}
 }
 ```
 
diff --git a/docs/index.rst b/docs/index.rst
index 3cb2824c..139543ab 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -418,11 +418,15 @@ If you are using GeometricKernels, please cite the `library paper <https://arxiv
 
 ..  code-block:: latex
 
-  @article{mostowsky2024,
-        title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
-        author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
-        year = {2024},
-        journal = {arXiv:2407.08086},
+  @article{JMLR:v26:24-1185,
+      author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
+      title   = {The GeometricKernels Package: Heat and Mat{\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
+      journal = {Journal of Machine Learning Research},
+      year    = {2025},
+      volume  = {26},
+      number  = {276},
+      pages   = {1--14},
+      url     = {http://jmlr.org/papers/v26/24-1185.html}
   }
 
 Please also consider citing the theoretical papers the library is based on. You can find the relevant references for any space in
diff --git a/notebooks/Graph.ipynb b/notebooks/Graph.ipynb
index 4322ff23..937e1306 100644
--- a/notebooks/Graph.ipynb
+++ b/notebooks/Graph.ipynb
@@ -821,11 +821,15 @@
     "If you are using graphs and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/GraphEdges.ipynb b/notebooks/GraphEdges.ipynb
index f77bbdc5..4997f0f2 100644
--- a/notebooks/GraphEdges.ipynb
+++ b/notebooks/GraphEdges.ipynb
@@ -1074,11 +1074,15 @@
     "If you are using graphs and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/HammingGraph.ipynb b/notebooks/HammingGraph.ipynb
index 4c3bcd32..1c3a0650 100644
--- a/notebooks/HammingGraph.ipynb
+++ b/notebooks/HammingGraph.ipynb
@@ -694,11 +694,15 @@
     "If you are using the HammingGraph space and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/Hyperbolic.ipynb b/notebooks/Hyperbolic.ipynb
index 70e37da7..909c60b3 100644
--- a/notebooks/Hyperbolic.ipynb
+++ b/notebooks/Hyperbolic.ipynb
@@ -763,11 +763,15 @@
     "If you are using hyperbolic spaces and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/HypercubeGraph.ipynb b/notebooks/HypercubeGraph.ipynb
index ac36744f..3d3f5551 100644
--- a/notebooks/HypercubeGraph.ipynb
+++ b/notebooks/HypercubeGraph.ipynb
@@ -709,11 +709,15 @@
     "If you are using the HypercubeGraph space and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/Hypersphere.ipynb b/notebooks/Hypersphere.ipynb
index cc630383..bd4272e3 100644
--- a/notebooks/Hypersphere.ipynb
+++ b/notebooks/Hypersphere.ipynb
@@ -732,11 +732,15 @@
     "If you are using (hyper)spheres and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/Mesh.ipynb b/notebooks/Mesh.ipynb
index 034c671d..eb116b4f 100644
--- a/notebooks/Mesh.ipynb
+++ b/notebooks/Mesh.ipynb
@@ -806,11 +806,15 @@
     "If you are using meshes and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/SPD.ipynb b/notebooks/SPD.ipynb
index 74a9255c..16cf33aa 100644
--- a/notebooks/SPD.ipynb
+++ b/notebooks/SPD.ipynb
@@ -595,11 +595,15 @@
     "If you are using manifolds of symmetric positive definite matrices and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/SpecialOrthogonal.ipynb b/notebooks/SpecialOrthogonal.ipynb
index c2a47e53..4468faeb 100644
--- a/notebooks/SpecialOrthogonal.ipynb
+++ b/notebooks/SpecialOrthogonal.ipynb
@@ -815,11 +815,15 @@
     "If you are using Lie groups and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/SpecialUnitary.ipynb b/notebooks/SpecialUnitary.ipynb
index 0c0f2165..98d963b4 100644
--- a/notebooks/SpecialUnitary.ipynb
+++ b/notebooks/SpecialUnitary.ipynb
@@ -873,11 +873,15 @@
     "If you are using Lie groups and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/Torus.ipynb b/notebooks/Torus.ipynb
index 0107ad19..06912612 100644
--- a/notebooks/Torus.ipynb
+++ b/notebooks/Torus.ipynb
@@ -1155,11 +1155,15 @@
     "If you are using (hyper)tori and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/backends/JAX_Graph.ipynb b/notebooks/backends/JAX_Graph.ipynb
index ee7e5e68..d96e67ee 100644
--- a/notebooks/backends/JAX_Graph.ipynb
+++ b/notebooks/backends/JAX_Graph.ipynb
@@ -858,11 +858,15 @@
     "If you are using graphs and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/backends/PyTorch_Graph.ipynb b/notebooks/backends/PyTorch_Graph.ipynb
index 652b4fee..2de00258 100644
--- a/notebooks/backends/PyTorch_Graph.ipynb
+++ b/notebooks/backends/PyTorch_Graph.ipynb
@@ -858,11 +858,15 @@
     "If you are using graphs and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/backends/TensorFlow_Graph.ipynb b/notebooks/backends/TensorFlow_Graph.ipynb
index 28011f96..c45e2ba6 100644
--- a/notebooks/backends/TensorFlow_Graph.ipynb
+++ b/notebooks/backends/TensorFlow_Graph.ipynb
@@ -860,11 +860,15 @@
     "If you are using graphs and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/frontends/GPJax.ipynb b/notebooks/frontends/GPJax.ipynb
index a74e04cb..a403bdb3 100644
--- a/notebooks/frontends/GPJax.ipynb
+++ b/notebooks/frontends/GPJax.ipynb
@@ -2056,11 +2056,15 @@
     "If you are using meshes and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/frontends/GPflow.ipynb b/notebooks/frontends/GPflow.ipynb
index c0975f39..4249b4d0 100644
--- a/notebooks/frontends/GPflow.ipynb
+++ b/notebooks/frontends/GPflow.ipynb
@@ -533,11 +533,15 @@
     "If you are using meshes and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/frontends/GPyTorch.ipynb b/notebooks/frontends/GPyTorch.ipynb
index 899ef181..0e9c6d52 100644
--- a/notebooks/frontends/GPyTorch.ipynb
+++ b/notebooks/frontends/GPyTorch.ipynb
@@ -615,11 +615,15 @@
     "If you are using meshes and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/other/Bayesian Optimization.ipynb b/notebooks/other/Bayesian Optimization.ipynb
index b3e366ff..1616f19e 100644
--- a/notebooks/other/Bayesian Optimization.ipynb	
+++ b/notebooks/other/Bayesian Optimization.ipynb	
@@ -767,11 +767,15 @@
     "If you are using Bayesian optimization and GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/other/HammingGraphTiming.ipynb b/notebooks/other/HammingGraphTiming.ipynb
index dde532a9..3f5e05a8 100644
--- a/notebooks/other/HammingGraphTiming.ipynb
+++ b/notebooks/other/HammingGraphTiming.ipynb
@@ -190,11 +190,15 @@
     "If you are using hypercube or Hamming graphs from GeometricKernels, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/other/Hyperbolic Approximations.ipynb b/notebooks/other/Hyperbolic Approximations.ipynb
index 669d1ea7..b4528824 100644
--- a/notebooks/other/Hyperbolic Approximations.ipynb	
+++ b/notebooks/other/Hyperbolic Approximations.ipynb	
@@ -650,11 +650,15 @@
     "If you are using GeometricKernels and hyperbolic spaces, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/notebooks/other/SPD Approximations.ipynb b/notebooks/other/SPD Approximations.ipynb
index 7736a729..02295fc1 100644
--- a/notebooks/other/SPD Approximations.ipynb	
+++ b/notebooks/other/SPD Approximations.ipynb	
@@ -521,11 +521,15 @@
     "If you are using GeometricKernels and manifolds of symmetric positive matrices, please consider citing\n",
     "\n",
     "```\n",
-    "@article{mostowsky2024,\n",
-    "      title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
-    "      author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
-    "      year = {2024},\n",
-    "      journal = {arXiv:2407.08086},\n",
+    "@article{JMLR:v26:24-1185,\n",
+    "  author  = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and No{\\'e}mie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},\n",
+    "  title   = {The GeometricKernels Package: Heat and Mat{\\'e}rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},\n",
+    "  journal = {Journal of Machine Learning Research},\n",
+    "  year    = {2025},\n",
+    "  volume  = {26},\n",
+    "  number  = {276},\n",
+    "  pages   = {1--14},\n",
+    "  url     = {http://jmlr.org/papers/v26/24-1185.html}\n",
     "}\n",
     "```\n",
     "\n",
diff --git a/pyproject.toml b/pyproject.toml
index cd5db34f..564c0502 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,7 +34,7 @@ dependencies = [
     "spherical-harmonics-basis",
     "sympy~=1.13",
 ]
-version="0.4.2"
+version="1.0.0"
 
 [project.urls]
 Documentation = "https://geometric-kernels.github.io/"
@@ -94,11 +94,10 @@ dev = [
   "botorch>=0.9",
 
   # TensorFlow / GPflow / TFP split
-  'tensorflow',
-  'tensorflow-probability; python_version < "3.12"',
-  'tensorflow-probability>=0.25; python_version >= "3.12"',
+  'tensorflow<=2.20.0',
+  'tensorflow-probability<=0.25.0',
   'gpflow',
-  'tf_keras',
+  'tf_keras<=2.20.1',
 
   # JAX family
   'jax',