diff --git a/xml/System.Numerics.Tensors/ArrayTensorExtensions.xml b/xml/System.Numerics.Tensors/ArrayTensorExtensions.xml
index 114ebd8dd4c..dcdbf8dbd03 100644
--- a/xml/System.Numerics.Tensors/ArrayTensorExtensions.xml
+++ b/xml/System.Numerics.Tensors/ArrayTensorExtensions.xml
@@ -40,10 +40,10 @@
         <Parameter Name="array" Type="T[]" RefType="this" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> from.</param>
+        <summary>Creates a copy of this single-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</summary>
+        <returns>A 1-dimensional <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> with the same length and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -68,11 +68,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Creates a copy of this n-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</summary>
+        <returns>A n-dimensional <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -98,11 +98,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Creates a copy of this three-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</summary>
+        <returns>A 3-dimensional <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -128,11 +128,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): row-major.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): column-major.</param>
+        <summary>Creates a copy of this two-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/>.</summary>
+        <returns>A 2-dimensional <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1"/> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -158,10 +158,10 @@
         <Parameter Name="array" Type="T[]" RefType="this" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> from.</param>
+        <summary>Creates a copy of this single-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</summary>
+        <returns>A 1-dimensional <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> with the same length and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -186,11 +186,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Creates a copy of this n-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</summary>
+        <returns>A n-dimensional <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -216,11 +216,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Creates a copy of this three-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</summary>
+        <returns>A 3-dimensional <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -246,11 +246,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): row-major. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): column-major.</param>
+        <summary>Creates a copy of this two-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" />.</summary>
+        <returns>A 2-dimensional <see cref="T:System.Numerics.Tensors.SparseTensor&lt;T&gt;" /> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -276,10 +276,10 @@
         <Parameter Name="array" Type="T[]" RefType="this" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> from.</param>
+        <summary>Creates a copy of this single-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</summary>
+        <returns>A 1-dimensional <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> with the same length and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -304,11 +304,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Creates a copy of this n-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /></summary>
+        <returns>A n-dimensional <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -334,11 +334,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Creates a copy of this three-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</summary>
+        <returns>A 3-dimensional <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -364,11 +364,11 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="array">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained in the <paramref name="array" /> to copy to the <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</typeparam>
+        <param name="array">The array to create a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> from.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): row-major.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): column-major.</param>
+        <summary>Creates a copy of this two-dimensional <paramref name="array" /> as a <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" />.</summary>
+        <returns>A 2-dimensional <see cref="T:System.Numerics.Tensors.DenseTensor&lt;T&gt;" /> with the same dimensions and content as <paramref name="array" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
diff --git a/xml/System.Numerics.Tensors/CompressedSparseTensor`1.xml b/xml/System.Numerics.Tensors/CompressedSparseTensor`1.xml
index 56719f92c88..8924c741acd 100644
--- a/xml/System.Numerics.Tensors/CompressedSparseTensor`1.xml
+++ b/xml/System.Numerics.Tensors/CompressedSparseTensor`1.xml
@@ -41,9 +41,10 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> to create.</param>
+        <param name="reverseStride">
+          <see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.  <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Constructs a new <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> of the specifed dimensions and stride ordering.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -64,10 +65,10 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <param name="capacity">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> to create.</param>
+        <param name="capacity">The number of non-zero values this tensor can store without resizing.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Constructs a new <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> of the specifed dimensions, initial capacity, and stride ordering.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -91,13 +92,13 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <param name="values">To be added.</param>
-        <param name="compressedCounts">To be added.</param>
-        <param name="indices">To be added.</param>
-        <param name="nonZeroCount">To be added.</param>
-        <param name="dimensions">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="values">Memory storing non-zero values to construct this tensor with.</param>
+        <param name="compressedCounts">Memory storing the counts of non-zero elements at each index of the compressed dimension.</param>
+        <param name="indices">Memory storing the linearized index (excluding the compressed dimension) of non-zero elements.</param>
+        <param name="nonZeroCount">The number of valid entries (eg: non-zero values) in <paramref name="values" /> and <paramref name="indices" />.</param>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> to create.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Constructs a new <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> of the specifed dimensions, wrapping existing backing memory for the contents. Growing this <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> will re-allocate the backing memory.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -117,7 +118,7 @@
         <ReturnType>System.Int32</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
+        <summary>Gets the number of non-zero values this tensor can store without resizing.</summary>
         <value>To be added.</value>
         <remarks>To be added.</remarks>
       </Docs>
@@ -139,8 +140,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a shallow copy of this tensor, with new backing storage.</summary>
+        <returns>A shallow copy of this tensor.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -166,10 +167,10 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <typeparam name="TResult">To be added.</typeparam>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="TResult">Type contained in the returned <see cref="T:System.Numerics.Tensors.Tensor&lt;TResult&gt;" />.</typeparam>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> to create.</param>
+        <summary>Creates a new Tensor of a different type with the specified <paramref name="dimensions" /> and the same layout as this tensor with elements initialized to their default value.</summary>
+        <returns>A new tensor with the same layout as this tensor but different type and dimensions.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -189,8 +190,8 @@
         <ReturnType>System.Memory&lt;System.Int32&gt;</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Memory storing the counts of non-zero elements at each index of the compressed dimension.</summary>
+        <value>A <see cref="T:System.Memory&lt;System.Int32&gt;" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -213,9 +214,9 @@
         <Parameter Name="index" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <summary>Gets the value at the specied index, where index is lineraized as a dot product between indices and strides.</summary>
+        <returns>The value at the specified position in this Tensor.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -235,8 +236,8 @@
         <ReturnType>System.Memory&lt;System.Int32&gt;</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Memory storing the linearized index (excluding the compressed dimension) of non-zero elements.</summary>
+        <value>A <see cref="T:System.Memory&lt;System.Int32&gt;" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -259,9 +260,9 @@
         <Parameter Name="indices" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="indices">To be added.</param>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <param name="indices">A span of integers that represent the indices specifying the position of the element to get.</param>
+        <summary>Obtains the value at the specified indices</summary>
+        <value>The value at the specified position in this Tensor.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -281,8 +282,8 @@
         <ReturnType>System.Int32</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Get's the number on non-zero values currently being stored in this tensor.</summary>
+        <value>An integer.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -305,9 +306,9 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> to create.</param>
+        <summary>Reshapes the current tensor to new dimensions. Unlike other Tensor implementations, <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> must allocate new backing storage to represent a reshaped Tensor.</summary>
+        <returns>A new tensor that reinterprets the content of this tensor to new <paramref name="dimensions" /> (assuming the same linear index for each element).</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -331,9 +332,9 @@
         <Parameter Name="value" Type="T" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <param name="value">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <param name="value">The new value to set at the specified position in this Tensor.</param>
+        <summary>Sets the value at the specied index, where index is a linearized version of n-dimension indices using strides.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -354,8 +355,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this tensor as a new <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> eliminating any unused space in the backing storage.</summary>
+        <returns>A copy of this tensor as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -376,8 +377,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this tensor as a <see cref="T:System.Numerics.Tensors.DenseTensor`1" />.</summary>
+        <returns>A copy of this tensor as a <see cref="T:System.Numerics.Tensors.DenseTensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -398,8 +399,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this tensor as a <see cref="T:System.Numerics.Tensors.SparseTensor`1" />.</summary>
+        <returns>A copy of this tensor as a <see cref="T:System.Numerics.Tensors.SparseTensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -419,8 +420,8 @@
         <ReturnType>System.Memory&lt;T&gt;</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Memory storing non-zero values.</summary>
+        <value>A <see. cref="T:System.Memory&lt;T&gt;" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
diff --git a/xml/System.Numerics.Tensors/DenseTensor`1.xml b/xml/System.Numerics.Tensors/DenseTensor`1.xml
index c7e6fd574f4..567979d89c2 100644
--- a/xml/System.Numerics.Tensors/DenseTensor`1.xml
+++ b/xml/System.Numerics.Tensors/DenseTensor`1.xml
@@ -41,8 +41,8 @@
         <Parameter Name="length" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="length">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="length">Size of the 1-dimensional tensor.</param>
+        <summary>Initializes a rank-1 Tensor using the specified <paramref name="length" />.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -62,9 +62,9 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.DenseTensor`1" /> to create.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Initializes a rank-n Tensor using the dimensions specified in <paramref name="dimensions" />.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -86,9 +86,9 @@
       </Parameters>
       <Docs>
         <param name="memory">To be added.</param>
-        <param name="dimensions">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.DenseTensor`1" /> to create.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Constructs a new <see cref="T:System.Numerics.Tensors.DenseTensor`1" /> of the specifed dimensions, wrapping existing backing memory for the contents.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -108,8 +108,8 @@
         <ReturnType>System.Memory&lt;T&gt;</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Memory storing backing values of this tensor.</summary>
+        <value>A <see cref="T:System.Memory&lt;T&gt;" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -130,8 +130,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a shallow copy of this tensor, with new backing storage.</summary>
+        <returns>A shallow copy of this tensor.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -157,10 +157,10 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <typeparam name="TResult">To be added.</typeparam>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="TResult">Type contained in the returned Tensor.</typeparam>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.DenseTensor`1" /> to create.</param>
+        <summary>Creates a new Tensor of a different type with the specified dimensions and the same layout as this tensor with elements initialized to their default value.</summary>
+        <returns>A new tensor with the same layout as this tensor but different type and dimensions.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -209,9 +209,9 @@
         <Parameter Name="index" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <summary>Gets the value at the specied index, where index is a linearized version of n-dimension indices using strides.</summary>
+        <returns>The value at the specified position in this Tensor.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -259,9 +259,9 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.DenseTensor`1" /> to create.</param>
+        <summary>Reshapes the current tensor to new dimensions, using the same backing storage.</summary>
+        <returns>A new tensor that reinterprets backing Buffer of this tensor with different dimensions.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -285,9 +285,9 @@
         <Parameter Name="value" Type="T" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <param name="value">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <param name="value">The new value to set at the specified position in this Tensor.</param>
+        <summary>Sets the value at the specied index, where index is a linearized version of n-dimension indices using strides.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
diff --git a/xml/System.Numerics.Tensors/SparseTensor`1.xml b/xml/System.Numerics.Tensors/SparseTensor`1.xml
index 3c996e710d5..37a9217fb70 100644
--- a/xml/System.Numerics.Tensors/SparseTensor`1.xml
+++ b/xml/System.Numerics.Tensors/SparseTensor`1.xml
@@ -42,10 +42,10 @@
         <Parameter Name="capacity" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <param name="capacity">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> to create.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <param name="capacity">The number of non-zero values this tensor can store without resizing.</param>
+        <summary>Constructs a new <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> of the specifed dimensions, initial capacity, and stride ordering.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -66,8 +66,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a shallow copy of this tensor, with new backing storage.</summary>
+        <returns>A shallow copy of this tensor.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -93,10 +93,10 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <typeparam name="TResult">To be added.</typeparam>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="TResult">Type contained in the returned <see cref="T:System.Numerics.Tensors.Tensor`1" />.</typeparam>
+        <param name="dimensions">An span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> to create.</param>
+        <summary>Creates a new <see cref="T:System.Numerics.Tensors.Tensor`1" /> of a different type with the specified dimensions and the same layout as this tensor with elements initialized to their default value.</summary>
+        <returns>A new tensor with the same layout as this tensor but different type and dimensions.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -119,9 +119,9 @@
         <Parameter Name="index" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <summary>Gets the value at the specied index, where index is a linearized version of n-dimension indices using strides.</summary>
+        <returns>The value at the specified position in this Tensor.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -141,7 +141,7 @@
         <ReturnType>System.Int32</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
+        <summary>Gets the number on non-zero values currently being stored in this tensor.</summary>
         <value>To be added.</value>
         <remarks>To be added.</remarks>
       </Docs>
@@ -165,9 +165,9 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> to create.</param>
+        <summary>Reshapes the current tensor to new dimensions, using the same backing storage.</summary>
+        <returns>A new tensor that reinterprets backing storage of this tensor with different dimensions.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -191,9 +191,9 @@
         <Parameter Name="value" Type="T" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <param name="value">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <param name="value">The new value to set at the specified position in this Tensor.</param>
+        <summary>Sets the value at the specied index, where index is a linearized version of n-dimension indices using strides.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -214,8 +214,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this tensor as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" />.</summary>
+        <returns>A copy of this tensor as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -236,8 +236,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this tensor as a <see cref="T:System.Numerics.Tensors.DenseTensor`1" />.</summary>
+        <returns>A copy of this tensor as a <see cref="T:System.Numerics.Tensors.DenseTensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -258,8 +258,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this tensor as a new <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> eliminating any unused space in the backing storage.</summary>
+        <returns>A copy of this tensor as a <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> eliminated any usused space in the backing storage.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
diff --git a/xml/System.Numerics.Tensors/Tensor.xml b/xml/System.Numerics.Tensors/Tensor.xml
index 198a89772cf..9ee8527afa3 100644
--- a/xml/System.Numerics.Tensors/Tensor.xml
+++ b/xml/System.Numerics.Tensors/Tensor.xml
@@ -40,10 +40,10 @@
         <Parameter Name="diagonal" Type="System.Numerics.Tensors.Tensor&lt;T&gt;" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="diagonal">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">type contained within the <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <param name="diagonal"><see cref="T:System.Numerics.Tensors.Tensor`1" /> representing the diagonal to build the new tensor from.</param>
+        <summary>Creates a n+1-rank <see cref="T:System.Numerics.Tensors.Tensor`1" /> using the specified n-rank diagonal.  Values not on the diagonal will be filled with zeros.</summary>
+        <returns>A new <see cref="T:System.Numerics.Tensors.Tensor`1" /> of the same layout and order as <paramref name="diagonal" /> of one higher rank, with the values of <paramref name="diagonal" /> along the diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -70,11 +70,11 @@
         <Parameter Name="offset" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="diagonal">To be added.</param>
-        <param name="offset">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained within the <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <param name="diagonal"><see cref="T:System.Numerics.Tensors.Tensor`1" /> representing the diagonal to build the new tensor from.</param>
+        <param name="offset">Offset of diagonal to set in returned <see cref="T:System.Numerics.Tensors.Tensor`1" />.  0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.</param>
+        <summary>Creates a n+1-dimension <see cref="T:System.Numerics.Tensors.Tensor`1" /> using the specified n-dimension diagonal at the specified offset from the center.  Values not on the diagonal will be filled with zeros.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.Tensor`1" /> of the same layout and order as <paramref name="diagonal" /> of one higher rank, with the values of <paramref name="diagonal" /> along the specified diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -100,10 +100,10 @@
         <Parameter Name="size" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="size">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained within the <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <param name="size">Width and height of the identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> to create.</param>
+        <summary>Creates an identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> of the specified size.  An identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> is a two dimensional tensor with 1s in the diagonal.</summary>
+        <returns>A <paramref name="size" /> by <paramref name="size" /> <see cref="T:System.Numerics.Tensors.Tensor`1" /> with 1s along the diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -130,11 +130,11 @@
         <Parameter Name="columMajor" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="size">To be added.</param>
-        <param name="columMajor">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained within the <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <param name="size">Width and height of the identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> to create.</param>
+        <param name="columMajor"><see langword="false" /> to indicate that the first dimension is most minor (closest) and the last dimension is most major (farthest): row-major. <see langword="true" /> to indicate that the last dimension is most minor (closest together) and the first dimension is most major (farthest apart): column-major.</param>
+        <summary>Creates an identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> of the specified size and layout (row vs column major).  An identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> is a two dimensional tensor with 1s in the diagonal.</summary>
+        <returns>A <paramref name="size" /> by <paramref name="size" /> with 1s along the diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -162,12 +162,12 @@
         <Parameter Name="oneValue" Type="T" />
       </Parameters>
       <Docs>
-        <typeparam name="T">To be added.</typeparam>
-        <param name="size">To be added.</param>
-        <param name="columMajor">To be added.</param>
-        <param name="oneValue">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="T">Type contained within the <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <param name="size">Width and height of the identity tensor to create.</param>
+        <param name="columMajor"><see langword="false" /> to indicate that the first dimension is most minor (closest) and the last dimension is most major (farthest): row-major. <see langword="true" /> to indicate that the last dimension is most minor (closest together) and the first dimension is most major (farthest apart): column-major.</param>
+        <param name="oneValue">Value of <typeparamref name="T" /> that is used along the diagonal.</param>
+        <summary>Creates an identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> of the specified size and layout (row vs column major) using the specified one value. An identity <see cref="T:System.Numerics.Tensors.Tensor`1" /> is a two dimensional tensor with 1s in the diagonal. This may be used in case <typeparamref name="T" /> is a type that doesn't have a known 1 value.</summary>
+        <returns>A <paramref name="size" /> by <paramref name="size" /> <see cref="T:System.Numerics.Tensors.Tensor`1" /> with 1s along the diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
diff --git a/xml/System.Numerics.Tensors/Tensor`1.xml b/xml/System.Numerics.Tensors/Tensor`1.xml
index 86c4329c9b9..e95bd181508 100644
--- a/xml/System.Numerics.Tensors/Tensor`1.xml
+++ b/xml/System.Numerics.Tensors/Tensor`1.xml
@@ -69,8 +69,8 @@
         <Parameter Name="length" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="length">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="length">Size of the 1-dimensional <see cref="T:System.Numerics.Tensors.Tensor`1" />.</param>
+        <summary>Initialize a 1-dimensional <see cref="T:System.Numerics.Tensors.Tensor`1" /> of the specified <paramref name="length" />.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -91,9 +91,9 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <param name="fromArray">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="fromArray">Array from which to derive dimensions.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Initializes a <see cref="T:System.Numerics.Tensors.Tensor`1" /> with same dimensions as <paramref name="fromArray" />. The content of <paramref name="fromArray"/> is ignored.  Setting <paramref name="reverseStride" /> to <see langword="true" /> gives a stride of 1-element witdth to the first dimension (0).  Setting <paramref name="reverseStride" /> to <see langword="false" /> gives a stride of 1-element width to the last dimension (n-1).</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -114,9 +114,9 @@
         <Parameter Name="reverseStride" Type="System.Boolean" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <param name="reverseStride">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.Tensor`1" /> to create.</param>
+        <param name="reverseStride"><see langword="false" /> (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. <see langword="true" /> to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.</param>
+        <summary>Initialize an n-dimensional <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the specified dimensions and layout. Setting <paramref name="reverseStride" /> to <see langword="true" /> gives a stride of 1-element witdth to the first dimension (0). Setting <paramref name="reverseStride" /> to <see langword="false" /> gives a stride of 1-element width to the last dimension (n-1).</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -137,8 +137,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a shallow copy of this <see cref="T:System.Numerics.Tensors.Tensor`1" />, with new backing storage.</summary>
+        <returns>A shallow copy of this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -159,8 +159,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a new <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the same layout and dimensions as this <see cref="T:System.Numerics.Tensors.Tensor`1" /> with elements initialized to their default value.</summary>
+        <returns>A new <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -183,9 +183,9 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the DenseTensor to create.</param>
+        <summary>Creates a new <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the specified dimensions and the same layout as this <see cref="T:System.Numerics.Tensors.Tensor`1" /> with elements initialized to their default value.</summary>
+        <returns>A new <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -209,9 +209,9 @@
       </TypeParameters>
       <Parameters />
       <Docs>
-        <typeparam name="TResult">To be added.</typeparam>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="TResult">Type contained within the new <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <summary>Creates a new <see cref="T:System.Numerics.Tensors.Tensor`1" /> of a different type with the same layout and size as this tensor with elements initialized to their default value.</summary>
+        <returns>A new <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -237,10 +237,10 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <typeparam name="TResult">To be added.</typeparam>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <typeparam name="TResult">Type contained within the new <see cref="T:System.Numerics.Tensors.Tensor`1" />. Typically a value type such as int, double, float, etc.</typeparam>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.Tensor`1" /> to create.</param>
+        <summary>Creates a new <see cref="T:System.Numerics.Tensors.Tensor`1" /> of a different type with the specified dimensions and the same layout as this <see cref="T:System.Numerics.Tensors.Tensor`1" /> with elements initialized to their default value.</summary>
+        <returns>A new <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -264,10 +264,10 @@
         <Parameter Name="right" Type="System.Numerics.Tensors.Tensor&lt;T&gt;" />
       </Parameters>
       <Docs>
-        <param name="left">To be added.</param>
-        <param name="right">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="left">The first <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance to compare.</param>
+        <param name="right">The second <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance to compare.</param>
+        <summary>Performs a value comparison of the content and shape of two <see cref="T:System.Numerics.Tensors.Tensor`1" /> instances.  Two tensors are equal if they have the same shape and same value at every set of indices.  If not equal a tensor is greater or less than another tensor based on the first non-equal element when enumerating in linear order.</summary>
+        <returns>Zero if they are equal, any other value if they are different.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -293,9 +293,9 @@
         <Parameter Name="item" Type="T" />
       </Parameters>
       <Docs>
-        <param name="item">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="item">The object to locate in the <see cref="T:System.Numerics.Tensors.Tensor`1" />. The value can be <see langword="null" /> for reference types.</param>
+        <summary>Determines whether an element is in the <see cref="T:System.Numerics.Tensors.Tensor`1" />.</summary>
+        <returns><see langword="true" /> if item is found in the <see cref="T:System.Numerics.Tensors.Tensor`1" />; otherwise, <see. langword="false" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -322,9 +322,9 @@
         <Parameter Name="arrayIndex" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="array">To be added.</param>
-        <param name="arrayIndex">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="array">The one-dimensional Array that is the destination of the elements copied from <see cref="T:System.Numerics.Tensors.Tensor`1" />. The Array must have zero-based indexing.</param>
+        <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
+        <summary>Copies the elements of the <see cref="T:System.Numerics.Tensors.Tensor`1" /> to an Array, starting at a particular Array index.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -344,8 +344,8 @@
         <ReturnType>System.ReadOnlySpan&lt;System.Int32&gt;</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Returns a readonly view of the dimensions of this tensor.</summary>
+        <value>A <see cref="T:System.ReadOnlySpan&lt;System.Int32&gt;" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -369,10 +369,10 @@
         <Parameter Name="right" Type="System.Numerics.Tensors.Tensor&lt;T&gt;" />
       </Parameters>
       <Docs>
-        <param name="left">To be added.</param>
-        <param name="right">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="left">The first <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance to compare.</param>
+        <param name="right">The second <see cref="T:System.Numerics.Tensors.Tensor`1" /> instance to compare.</param>
+        <summary>Performs a value equality comparison of the content of two <see cref="T:System.Numerics.Tensors.Tensor`1" /> instances. Two tensors are equal if they have the same shape and same value at every set of indices.</summary>
+        <returns><see langword="true" /> if they are equal, <see langword="false" /> otherwise.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -395,8 +395,8 @@
         <Parameter Name="value" Type="T" />
       </Parameters>
       <Docs>
-        <param name="value">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="value">Value of type <typeparamref name="T" /> to fill.</param>
+        <summary>Sets all the elements in the <see cref="T:System.Numerics.Tensors.Tensor`1" /> to <paramref name="value" />.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -441,8 +441,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Gets the n-1 dimension diagonal from the n dimension <see cref="T:System.Numerics.Tensors.Tensor`1" />.</summary>
+        <returns>An n-1 dimension <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the values from the main diagonal of this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -465,9 +465,9 @@
         <Parameter Name="offset" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="offset">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="offset">Offset of diagonal to set in returned <see cref="T:System.Numerics.Tensors.Tensor`1" />.  0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.</param>
+        <summary>Gets the n-1 dimension diagonal from the n dimension <see cref="T:System.Numerics.Tensors.Tensor`1" /> at the specified offset from center.</summary>
+        <returns>An n-1 dimension <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the values from the specified diagonal of this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -488,8 +488,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Gets a <see cref="T:System.Numerics.Tensors.Tensor`1" /> representing the elements below and including the diagonal, with the rest of the elements zero-ed.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the values from this <see cref="T:System.Numerics.Tensors.Tensor`1" /> at and below the main diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -512,9 +512,9 @@
         <Parameter Name="offset" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="offset">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="offset">Offset of diagonal to set in returned <see cref="T:System.Numerics.Tensors.Tensor`1" />. 0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.</param>
+        <summary>Gets a <see cref="T:System.Numerics.Tensors.Tensor`1" /> representing the elements below and including the specified diagonal, with the rest of the elements zero-ed.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the values from this <see cref="T:System.Numerics.Tensors.Tensor`1" /> at and below the specified diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -535,8 +535,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Gets a <see cref="T:System.Numerics.Tensors.Tensor`1" /> representing the elements above and including the diagonal, with the rest of the elements zero-ed.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the values from this <see cref="T:System.Numerics.Tensors.Tensor`1" /> at and above the main diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -559,9 +559,9 @@
         <Parameter Name="offset" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="offset">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="offset">Offset of diagonal to set in returned <see cref="T:System.Numerics.Tensors.Tensor`1" />. 0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.</param>
+        <summary>Gets a <see cref="T:System.Numerics.Tensors.Tensor`1" /> representing the elements above and including the specified diagonal, with the rest of the elements zero-ed.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.Tensor`1" /> with the values from this <see cref="T:System.Numerics.Tensors.Tensor`1" /> at and above the specified diagonal and zeros elsewhere.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -584,9 +584,9 @@
         <Parameter Name="index" Type="System.Int32" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <summary>Gets the value at the specied <paramref name="index" />, where <paramref name="index" /> is a linearized version of n-dimension indices using strides.</summary>
+        <returns>The value at the specified position in this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -612,9 +612,9 @@
         <Parameter Name="item" Type="T" />
       </Parameters>
       <Docs>
-        <param name="item">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="item">The object to locate in the <see cref="T:System.Numerics.Tensors.Tensor`1" />.</param>
+        <summary>Determines the index of a specific item in the <see cref="T:System.Numerics.Tensors.Tensor`1" />.</summary>
+        <returns>The index of item if found in the <see cref="T:System.Numerics.Tensors.Tensor`1" />. If not found, returns -1.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -683,8 +683,8 @@
         <ReturnType>System.Boolean</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>True if strides are reversed (AKA Column-major).</summary>
+        <value>A <see cref="T:System.Boolean" /> value.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -713,9 +713,9 @@
         </Parameter>
       </Parameters>
       <Docs>
-        <param name="indices">To be added.</param>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <param name="indices">A one-dimensional array of integers that represent the indices specifying the position of the element to get.</param>
+        <summary>Obtains the value at the specified <paramref name="indices" />.</summary>
+        <value>The value at the specified position in this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -738,9 +738,9 @@
         <Parameter Name="indices" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="indices">To be added.</param>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <param name="indices">A span of integers that represent the indices specifying the position of the element to get.</param>
+        <summary>Obtains the value at the specified <paramref name="indices" />.</summary>
+        <value>The value at the specified position in this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -760,8 +760,8 @@
         <ReturnType>System.Int64</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Total length of the <see cref="T:System.Numerics.Tensors.Tensor`1" />.</summary>
+        <value>A <see cref="T:System.Int64" /> value.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -781,8 +781,8 @@
         <ReturnType>System.Int32</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Rank of the <see cref="T:System.Numerics.Tensors.Tensor`1" />: number of dimensions.</summary>
+        <value>A <see cref="T:System.Int32" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -805,9 +805,9 @@
         <Parameter Name="dimensions" Type="System.ReadOnlySpan&lt;System.Int32&gt;" />
       </Parameters>
       <Docs>
-        <param name="dimensions">To be added.</param>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <param name="dimensions">A span of integers that represent the size of each dimension of the <see cref="T:System.Numerics.Tensors.Tensor`1" /> to create.</param>
+        <summary>Reshapes the current <see cref="T:System.Numerics.Tensors.Tensor`1" /> to new <paramref name="dimensions" />, using the same backing storage if possible.</summary>
+        <returns>A new <see cref="T:System.Numerics.Tensors.Tensor`1" /> that reinterprets this tensor with different <paramref name="dimensions" />.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -831,9 +831,9 @@
         <Parameter Name="value" Type="T" />
       </Parameters>
       <Docs>
-        <param name="index">To be added.</param>
-        <param name="value">To be added.</param>
-        <summary>To be added.</summary>
+        <param name="index">An integer index computed as a dot-product of indices.</param>
+        <param name="value">The new value to set at the specified position in this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</param>
+        <summary>Sets the value at the specied <paramref name="index" />, where <paramref name="index" /> is a linearized version of n-dimension indices using strides.</summary>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -853,8 +853,8 @@
         <ReturnType>System.ReadOnlySpan&lt;System.Int32&gt;</ReturnType>
       </ReturnValue>
       <Docs>
-        <summary>To be added.</summary>
-        <value>To be added.</value>
+        <summary>Returns a readonly view of the strides of this <see cref="T:System.Numerics.Tensors.Tensor`1" />.</summary>
+        <value>A <see cref="T:System.ReadonlySpan&lt;System.Int32&gt;" /> instance.</value>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -1635,8 +1635,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this <see cref="T:System.Numerics.Tensors.Tensor`1" /> as a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" />.  If this <see cref="T:System.Numerics.Tensors.Tensor`1" /> is already a <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" />, calling this method is equivalent to calling <see cref="M:System.Numerics.Tensors.Tensor`1.Clone" />.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.CompressedSparseTensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -1657,8 +1657,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this <see cref="T:System.Numerics.Tensors.Tensor`1" /> as a <see cref="T:System.Numerics.Tensors.DenseTensor`1" />.  If this <see cref="T:System.Numerics.Tensors.Tensor`1" /> is already a <see cref="T:System.Numerics.Tensors.DenseTensor`1" />, calling this method is equivalent to calling <see cref="M:System.Numerics.Tensors.Tensor`1.Clone" />.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.DenseTensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>
@@ -1679,8 +1679,8 @@
       </ReturnValue>
       <Parameters />
       <Docs>
-        <summary>To be added.</summary>
-        <returns>To be added.</returns>
+        <summary>Creates a copy of this <see cref="T:System.Numerics.Tensors.Tensor`1" /> as a <see cref="T:System.Numerics.Tensors.SparseTensor`1" />.  If this <see cref="T:System.Numerics.Tensors.Tensor`1" /> is already a <see cref="T:System.Numerics.Tensors.SparseTensor`1" />, calling this method is equivalent to calling <see cref="M:System.Numerics.Tensors.Tensor`1.Clone" />.</summary>
+        <returns>A <see cref="T:System.Numerics.Tensors.SparseTensor`1" /> instance.</returns>
         <remarks>To be added.</remarks>
       </Docs>
     </Member>