diff --git a/doc/format.rst b/doc/format.rst
index 8fb6bd57..aecbaca2 100644
--- a/doc/format.rst
+++ b/doc/format.rst
@@ -125,7 +125,7 @@ keyword ``array`` in the relevant PEtab table entry.
 Semantically, assigning ``array`` is interpreted as a global assignment to an
 array variable whose potentially condition-specific values are provided in an
 array data file. Therefore, specifying ``array`` is only valid in the
-:ref:`hybridization table <_hybrid_table>` and the
+:ref:`hybridization table <hybrid_table>` and the
 :ref:`parameter Table <parameter_table>`, where assignments apply across all
 PEtab experiments.
 
diff --git a/doc/index.rst b/doc/index.rst
index 9441b344..c76d87ee 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -7,6 +7,7 @@
 
    Getting started <examples/getting_started/getting_started>
    how_to_guides
+   software_support
    format_overview
    Python package API <api>
    Contributing <_tmp/CONTRIBUTING.md>
diff --git a/doc/introduction.rst b/doc/introduction.rst
index 1deef8c8..629a0063 100644
--- a/doc/introduction.rst
+++ b/doc/introduction.rst
@@ -63,10 +63,11 @@ How to read the documentation
 -----------------------------
 
 If you are new to PEtab SciML, start with the
-:doc:`Getting Started tutorial <tutorial>`. It is a prerequisite for the
-How-to guides, which cover different model scenarios (e.g., Neural ODEs, ML
-model upstream of the ODE). For a complete description of all options when
-defining a SciML problem, see the :doc:`Format specification <format>`.
+:doc:`Getting Started tutorial <examples/getting_started/getting_started>`
+It is a prerequisite for the How-to guides, which cover different model
+scenarios (e.g., Neural ODEs, or ML model upstream of the ODE). For a complete
+description of all options when defining a SciML problem, see the
+:doc:`Format specification <format>`.
 
 Why a SciML data format?
 ------------------------
@@ -97,7 +98,6 @@ Getting Help with and Extending PEtab SciML
 
 If you run into problems:
 
-- Check the :doc:`Troubleshooting <trouble>` section of the documentation.
 - If you encounter unexpected behavior or a bug, please open an
   `issue <https://github.com/PEtab-dev/petab_sciml/issues/>`_ on GitHub
 
diff --git a/doc/layers.rst b/doc/layers.rst
index d7708fb4..0c931a77 100644
--- a/doc/layers.rst
+++ b/doc/layers.rst
@@ -1,194 +1,197 @@
 .. _layers_activation:
 
-Supported Layers and Activation Functions
-=======================================================================
+Neural network YAML format
+==========================
 
-The PEtab SciML NN model YAML format supports numerous
+The PEtab SciML neural network (NN) model YAML format supports numerous
 standard neural network layers and activation functions. Layer names and
-associated keyword arguments follow the PyTorch naming scheme. PyTorch
-is used because it is currently the most popular machine learning
-framework, and its comprehensive documentation makes it easy to look up
-details for any specific layer or activation function.
+associated keyword arguments follow the PyTorch naming scheme. PyTorch is used
+because it is currently the most popular machine learning framework, and its
+comprehensive documentation makes it easy to look up details for any specific
+layer or activation function.
 
-If support is lacking for a layer or activation function you would like
-to see, please file an issue on
+If support is lacking for a layer or activation function you would like to see,
+please file an issue on
 `GitHub <https://github.com/PEtab-dev/petab_sciml/issues>`__.
 
-The table below lists the supported and tested neural network layers
-along with links to their respective PyTorch documentation.
-Additionally, the table indicates which tools support each layer.
+The table below lists the supported and tested neural network layers along with
+links to their respective PyTorch documentation. Additionally, the table
+indicates which tools support each layer.
 
-+--------------------------------------------------------------+----+---+
-| layer                                                        | PE | A |
-|                                                              | ta | M |
-|                                                              | b. | I |
-|                                                              | jl | C |
-|                                                              |    | I |
-+==============================================================+====+===+
-| `Linear <https://pytorch.org/do                              | ✔️ |   |
-| cs/stable/generated/torch.nn.Linear.html#torch.nn.Linear>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Bilinear <https://pytorch.org/docs/s                        | ✔️ |   |
-| table/generated/torch.nn.Bilinear.html#torch.nn.Bilinear>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Flatten <https://pytorch.org/docs                           | ✔️ |   |
-| /stable/generated/torch.nn.Flatten.html#torch.nn.Flatten>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Dropout <https://pytorch.org/docs                           | ✔️ |   |
-| /stable/generated/torch.nn.Dropout.html#torch.nn.Dropout>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Dropout1d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.Dropout1d.html#torch.nn.Dropout1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Dropout2d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.Dropout2d.html#torch.nn.Dropout2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Dropout3d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.Dropout3d.html#torch.nn.Dropout3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `AlphaDropout <https://pytorch.org/docs/stable/ge            | ✔️ |   |
-| nerated/torch.nn.AlphaDropout.html#torch.nn.AlphaDropout>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Conv1d <https://pytorch.org/do                              | ✔️ |   |
-| cs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Conv2d <https://pytorch.org/do                              | ✔️ |   |
-| cs/stable/generated/torch.nn.Conv2d.html#torch.nn.Conv2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Conv3d <https://pytorch.org/do                              | ✔️ |   |
-| cs/stable/generated/torch.nn.Conv3d.html#torch.nn.Conv3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `ConvTranspose1d <https://pytorch.org/docs/stable/generate   | ✔️ |   |
-| d/torch.nn.ConvTranspose1d.html#torch.nn.ConvTranspose1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `ConvTranspose2d <https://pytorch.org/docs/stable/generate   | ✔️ |   |
-| d/torch.nn.ConvTranspose2d.html#torch.nn.ConvTranspose2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `ConvTranspose3d <https://pytorch.org/docs/stable/generate   | ✔️ |   |
-| d/torch.nn.ConvTranspose3d.html#torch.nn.ConvTranspose3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `MaxPool1d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.MaxPool1d.html#torch.nn.MaxPool1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `MaxPool2d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.MaxPool2d.html#torch.nn.MaxPool2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `MaxPool3d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.MaxPool3d.html#torch.nn.MaxPool3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `AvgPool1d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.AvgPool1d.html#torch.nn.AvgPool1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `AvgPool2d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.AvgPool2d.html#torch.nn.AvgPool2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `AvgPool3d <https://pytorch.org/docs/sta                     | ✔️ |   |
-| ble/generated/torch.nn.AvgPool3d.html#torch.nn.AvgPool3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `LPPool1 <https://pytorch.org/docs/s                         | ✔️ |   |
-| table/generated/torch.nn.LPPool1d.html#torch.nn.LPPool1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `LPPool2 <https://pytorch.org/docs/s                         | ✔️ |   |
-| table/generated/torch.nn.LPPool2d.html#torch.nn.LPPool2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `LPPool3 <https://pytorch.org/docs/s                         | ✔️ |   |
-| table/generated/torch.nn.LPPool3d.html#torch.nn.LPPool3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Ada                                                         | ✔️ |   |
-| ptiveMaxPool1d <https://pytorch.org/docs/stable/generated/to |    |   |
-| rch.nn.AdaptiveMaxPool1d.html#torch.nn.AdaptiveMaxPool1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Ada                                                         | ✔️ |   |
-| ptiveMaxPool2d <https://pytorch.org/docs/stable/generated/to |    |   |
-| rch.nn.AdaptiveMaxPool2d.html#torch.nn.AdaptiveMaxPool2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Ada                                                         | ✔️ |   |
-| ptiveMaxPool3d <https://pytorch.org/docs/stable/generated/to |    |   |
-| rch.nn.AdaptiveMaxPool3d.html#torch.nn.AdaptiveMaxPool3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Ada                                                         | ✔️ |   |
-| ptiveAvgPool1d <https://pytorch.org/docs/stable/generated/to |    |   |
-| rch.nn.AdaptiveAvgPool1d.html#torch.nn.AdaptiveAvgPool1d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Ada                                                         | ✔️ |   |
-| ptiveAvgPool2d <https://pytorch.org/docs/stable/generated/to |    |   |
-| rch.nn.AdaptiveAvgPool2d.html#torch.nn.AdaptiveAvgPool2d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `Ada                                                         | ✔️ |   |
-| ptiveAvgPool3d <https://pytorch.org/docs/stable/generated/to |    |   |
-| rch.nn.AdaptiveAvgPool3d.html#torch.nn.AdaptiveAvgPool3d>`__ |    |   |
-+--------------------------------------------------------------+----+---+
++--------------------------------------------------------------+----+----+
+| layer                                                        | PE | A  |
+|                                                              | ta | M  |
+|                                                              | b. | I  |
+|                                                              | jl | C  |
+|                                                              |    | I  |
++==============================================================+====+====+
+| `Linear <https://pytorch.org/do                              | ✔️ | ✔️ |
+| cs/stable/generated/torch.nn.Linear.html#torch.nn.Linear>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Bilinear <https://pytorch.org/docs/s                        | ✔️ |    |
+| table/generated/torch.nn.Bilinear.html#torch.nn.Bilinear>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Flatten <https://pytorch.org/docs                           | ✔️ | ✔️ |
+| /stable/generated/torch.nn.Flatten.html#torch.nn.Flatten>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Dropout <https://pytorch.org/docs                           | ✔️ |    |
+| /stable/generated/torch.nn.Dropout.html#torch.nn.Dropout>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Dropout1d <https://pytorch.org/docs/sta                     | ✔️ |    |
+| ble/generated/torch.nn.Dropout1d.html#torch.nn.Dropout1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Dropout2d <https://pytorch.org/docs/sta                     | ✔️ |    |
+| ble/generated/torch.nn.Dropout2d.html#torch.nn.Dropout2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Dropout3d <https://pytorch.org/docs/sta                     | ✔️ |    |
+| ble/generated/torch.nn.Dropout3d.html#torch.nn.Dropout3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `AlphaDropout <https://pytorch.org/docs/stable/ge            | ✔️ |    |
+| nerated/torch.nn.AlphaDropout.html#torch.nn.AlphaDropout>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Conv1d <https://pytorch.org/do                              | ✔️ | ✔️ |
+| cs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Conv2d <https://pytorch.org/do                              | ✔️ | ✔️ |
+| cs/stable/generated/torch.nn.Conv2d.html#torch.nn.Conv2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Conv3d <https://pytorch.org/do                              | ✔️ | ✔️ |
+| cs/stable/generated/torch.nn.Conv3d.html#torch.nn.Conv3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `ConvTranspose1d <https://pytorch.org/docs/stable/generate   | ✔️ | ✔️ |
+| d/torch.nn.ConvTranspose1d.html#torch.nn.ConvTranspose1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `ConvTranspose2d <https://pytorch.org/docs/stable/generate   | ✔️ | ✔️ |
+| d/torch.nn.ConvTranspose2d.html#torch.nn.ConvTranspose2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `ConvTranspose3d <https://pytorch.org/docs/stable/generate   | ✔️ | ✔️ |
+| d/torch.nn.ConvTranspose3d.html#torch.nn.ConvTranspose3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `MaxPool1d <https://pytorch.org/docs/sta                     | ✔️ | ✔️ |
+| ble/generated/torch.nn.MaxPool1d.html#torch.nn.MaxPool1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `MaxPool2d <https://pytorch.org/docs/sta                     | ✔️ | ✔️ |
+| ble/generated/torch.nn.MaxPool2d.html#torch.nn.MaxPool2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `MaxPool3d <https://pytorch.org/docs/sta                     | ✔️ | ✔️ |
+| ble/generated/torch.nn.MaxPool3d.html#torch.nn.MaxPool3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `AvgPool1d <https://pytorch.org/docs/sta                     | ✔️ | ✔️ |
+| ble/generated/torch.nn.AvgPool1d.html#torch.nn.AvgPool1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `AvgPool2d <https://pytorch.org/docs/sta                     | ✔️ | ✔️ |
+| ble/generated/torch.nn.AvgPool2d.html#torch.nn.AvgPool2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `AvgPool3d <https://pytorch.org/docs/sta                     | ✔️ | ✔️ |
+| ble/generated/torch.nn.AvgPool3d.html#torch.nn.AvgPool3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `LPPool1 <https://pytorch.org/docs/s                         | ✔️ | ✔️ |
+| table/generated/torch.nn.LPPool1d.html#torch.nn.LPPool1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `LPPool2 <https://pytorch.org/docs/s                         | ✔️ | ✔️ |
+| table/generated/torch.nn.LPPool2d.html#torch.nn.LPPool2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `LPPool3 <https://pytorch.org/docs/s                         | ✔️ | ✔️ |
+| table/generated/torch.nn.LPPool3d.html#torch.nn.LPPool3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Ada                                                         | ✔️ | ✔️ |
+| ptiveMaxPool1d <https://pytorch.org/docs/stable/generated/to |    |    |
+| rch.nn.AdaptiveMaxPool1d.html#torch.nn.AdaptiveMaxPool1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Ada                                                         | ✔️ | ✔️ |
+| ptiveMaxPool2d <https://pytorch.org/docs/stable/generated/to |    |    |
+| rch.nn.AdaptiveMaxPool2d.html#torch.nn.AdaptiveMaxPool2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Ada                                                         | ✔️ | ✔️ |
+| ptiveMaxPool3d <https://pytorch.org/docs/stable/generated/to |    |    |
+| rch.nn.AdaptiveMaxPool3d.html#torch.nn.AdaptiveMaxPool3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Ada                                                         | ✔️ | ✔️ |
+| ptiveAvgPool1d <https://pytorch.org/docs/stable/generated/to |    |    |
+| rch.nn.AdaptiveAvgPool1d.html#torch.nn.AdaptiveAvgPool1d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Ada                                                         | ✔️ | ✔️ |
+| ptiveAvgPool2d <https://pytorch.org/docs/stable/generated/to |    |    |
+| rch.nn.AdaptiveAvgPool2d.html#torch.nn.AdaptiveAvgPool2d>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `Ada                                                         | ✔️ | ✔️ |
+| ptiveAvgPool3d <https://pytorch.org/docs/stable/generated/to |    |    |
+| rch.nn.AdaptiveAvgPool3d.html#torch.nn.AdaptiveAvgPool3d>`__ |    |    |
++--------------------------------------------------------------+----+----+
 
 Supported Activation Function
 -----------------------------
 
-The table below lists the supported and tested activation functions
-along with links to their respective PyTorch documentation.
-Additionally, the table indicates which tools support each layer.
+The table below lists the supported and tested activation functions along with
+links to their respective PyTorch documentation. Additionally, the table
+indicates which tools support each layer.
 
-+--------------------------------------------------------------+----+---+
-| Function                                                     | PE | A |
-|                                                              | ta | M |
-|                                                              | b. | I |
-|                                                              | jl | C |
-|                                                              |    | I |
-+==============================================================+====+===+
-| `relu <https://pytorch.org/docs/stable/generate              | ✔️ |   |
-| d/torch.nn.functional.relu.html#torch.nn.functional.relu>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `relu6 <https://pytorch.org/docs/stable/generated/           | ✔️ |   |
-| torch.nn.functional.relu6.html#torch.nn.functional.relu6>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `hardtanh <https://pytorch.org/docs/stable/generated/torch.  | ✔️ |   |
-| nn.functional.hardtanh.html#torch.nn.functional.hardtanh>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `h                                                           | ✔️ |   |
-| ardswish <https://pytorch.org/docs/stable/generated/torch.nn |    |   |
-| .functional.hardswish.html#torch.nn.functional.hardswish>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `selu <https://pytorch.org/docs/stable/generate              | ✔️ |   |
-| d/torch.nn.functional.selu.html#torch.nn.functional.selu>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `leak                                                        | ✔️ |   |
-| y_relu <https://pytorch.org/docs/stable/generated/torch.nn.f |    |   |
-| unctional.leaky_relu.html#torch.nn.functional.leaky_relu>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `gelu <https://pytorch.org/docs/stable/generate              | ✔️ |   |
-| d/torch.nn.functional.gelu.html#torch.nn.functional.gelu>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `tanh                                                        | ✔️ |   |
-| shrink <https://pytorch.org/docs/stable/generated/torch.nn.f |    |   |
-| unctional.tanhshrink.html#torch.nn.functional.tanhshrink>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `softsign <https://pytorch.org/docs/stable/generated/torch.  | ✔️ |   |
-| nn.functional.softsign.html#torch.nn.functional.softsign>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `softplus <https://pytorch.org/docs/stable/generated/torch.  | ✔️ |   |
-| nn.functional.softplus.html#torch.nn.functional.softplus>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `tanh <https://pytorch.org/docs/stable/generate              | ✔️ |   |
-| d/torch.nn.functional.tanh.html#torch.nn.functional.tanh>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `sigmoid <https://pytorch.org/docs/stable/generated/torc     | ✔️ |   |
-| h.nn.functional.sigmoid.html#torch.nn.functional.sigmoid>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `hardsig                                                     | ✔️ |   |
-| moid <https://pytorch.org/docs/stable/generated/torch.nn.fun |    |   |
-| ctional.hardsigmoid.html#torch.nn.functional.hardsigmoid>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `mish <https://pytorch.org/docs/stable/generate              | ✔️ |   |
-| d/torch.nn.functional.mish.html#torch.nn.functional.mish>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `elu <https://pytorch.org/docs/stable/genera                 | ✔️ |   |
-| ted/torch.nn.functional.elu.html#torch.nn.functional.elu>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `celu <https://pytorch.org/docs/stable/generate              | ✔️ |   |
-| d/torch.nn.functional.celu.html#torch.nn.functional.celu>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `softmax <https://pytorch.org/docs/stable/generated/torc     | ✔️ |   |
-| h.nn.functional.softmax.html#torch.nn.functional.softmax>`__ |    |   |
-+--------------------------------------------------------------+----+---+
-| `log_sof                                                     | ✔️ |   |
-| tmax <https://pytorch.org/docs/stable/generated/torch.nn.fun |    |   |
-| ctional.log_softmax.html#torch.nn.functional.log_softmax>`__ |    |   |
-+--------------------------------------------------------------+----+---+
++--------------------------------------------------------------+----+----+
+| Function                                                     | PE | A  |
+|                                                              | ta | M  |
+|                                                              | b. | I  |
+|                                                              | jl | C  |
+|                                                              |    | I  |
++==============================================================+====+====+
+| `relu <https://pytorch.org/docs/stable/generate              | ✔️ | ✔️ |
+| d/torch.nn.functional.relu.html#torch.nn.functional.relu>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `relu6 <https://pytorch.org/docs/stable/generated/           | ✔️ | ✔️ |
+| torch.nn.functional.relu6.html#torch.nn.functional.relu6>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `hardtanh <https://pytorch.org/docs/stable/generated/torch.  | ✔️ | ✔️ |
+| nn.functional.hardtanh.html#torch.nn.functional.hardtanh>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `h                                                           | ✔️ | ✔️ |
+| ardswish <https://pytorch.org/docs/stable/generated/torch.nn |    |    |
+| .functional.hardswish.html#torch.nn.functional.hardswish>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `selu <https://pytorch.org/docs/stable/generate              | ✔️ | ✔️ |
+| d/torch.nn.functional.selu.html#torch.nn.functional.selu>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `leak                                                        | ✔️ | ✔️ |
+| y_relu <https://pytorch.org/docs/stable/generated/torch.nn.f |    |    |
+| unctional.leaky_relu.html#torch.nn.functional.leaky_relu>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `gelu <https://pytorch.org/docs/stable/generate              | ✔️ | ✔️ |
+| d/torch.nn.functional.gelu.html#torch.nn.functional.gelu>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `tanh                                                        | ✔️ | ✔️ |
+| shrink <https://pytorch.org/docs/stable/generated/torch.nn.f |    |    |
+| unctional.tanhshrink.html#torch.nn.functional.tanhshrink>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `softsign <https://pytorch.org/docs/stable/generated/torch.  | ✔️ | ✔️ |
+| nn.functional.softsign.html#torch.nn.functional.softsign>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `softplus <https://pytorch.org/docs/stable/generated/torch.  | ✔️ | ✔️ |
+| nn.functional.softplus.html#torch.nn.functional.softplus>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `tanh <https://pytorch.org/docs/stable/generate              | ✔️ | ✔️ |
+| d/torch.nn.functional.tanh.html#torch.nn.functional.tanh>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `sigmoid <https://pytorch.org/docs/stable/generated/torc     | ✔️ | ✔️ |
+| h.nn.functional.sigmoid.html#torch.nn.functional.sigmoid>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `hardsig                                                     | ✔️ | ✔️ |
+| moid <https://pytorch.org/docs/stable/generated/torch.nn.fun |    |    |
+| ctional.hardsigmoid.html#torch.nn.functional.hardsigmoid>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `mish <https://pytorch.org/docs/stable/generate              | ✔️ | ✔️ |
+| d/torch.nn.functional.mish.html#torch.nn.functional.mish>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `elu <https://pytorch.org/docs/stable/genera                 | ✔️ | ✔️ |
+| ted/torch.nn.functional.elu.html#torch.nn.functional.elu>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `celu <https://pytorch.org/docs/stable/generate              | ✔️ | ✔️ |
+| d/torch.nn.functional.celu.html#torch.nn.functional.celu>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `softmax <https://pytorch.org/docs/stable/generated/torc     | ✔️ | ✔️ |
+| h.nn.functional.softmax.html#torch.nn.functional.softmax>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `log_sof                                                     | ✔️ | ✔️ |
+| tmax <https://pytorch.org/docs/stable/generated/torch.nn.fun |    |    |
+| ctional.log_softmax.html#torch.nn.functional.log_softmax>`__ |    |    |
++--------------------------------------------------------------+----+----+
+| `silu <https://docs.pytorch.org/docs/2.12/generated/torch.nn | ✔️ | ✔️ |
+| .functional.silu.html>`__                                    |    |    |
++--------------------------------------------------------------+----+----+
diff --git a/doc/software_support.rst b/doc/software_support.rst
new file mode 100644
index 00000000..0ebd1b6e
--- /dev/null
+++ b/doc/software_support.rst
@@ -0,0 +1,19 @@
+.. _software_support:
+
+Software support
+================
+
+Tools that support importing PEtab-SciML problems for downstream tasks (e.g.
+simulation and model training), listed alphabetically are:
+
+- `AMICI <https://github.com/AMICI-dev/AMICI>`__
+  (`Example <https://amici.readthedocs.io/en/latest/examples/example_jax_petab/ExampleJaxPEtab.html>`__)
+- `PEtab.jl <https://github.com/sebapersson/PEtab.jl>`__
+  (`Example <https://sebapersson.github.io/PEtab.jl/stable/tutorials/sciml/standard_format>`__)
+
+If your tool supports PEtab-SciML and you would like it listed here, please
+`open an issue <https://github.com/PEtab-dev/petab_sciml/issues>`__.
+
+Both AMICI and PEtab.jl support the PEtab SciML neural network YAML format.
+For supported layers and activation functions, see the
+:ref:`Neural network YAML format <layers_activation>` page.
diff --git a/doc/trouble.rst b/doc/trouble.rst
deleted file mode 100644
index 4edddddf..00000000
--- a/doc/trouble.rst
+++ /dev/null
@@ -1,2 +0,0 @@
-Troubleshooting
-===============