diff --git a/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorBase.td b/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorBase.td
--- a/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorBase.td
+++ b/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorBase.td
@@ -31,9 +31,9 @@
     to tensor algebra by [Kjolstad17,Kjolstad20] in the Sparse Tensor
     Algebra Compiler (TACO) project (see http://tensor-compiler.org).
 
-    The MLIR implementation closely follows the "sparse iteration theory"
-    that forms the foundation of TACO. A rewriting rule is applied to each
-    tensor expression in the Linalg dialect (MLIR's tensor index notation)
+    The MLIR implementation [Biketal22] closely follows the "sparse iteration
+    theory" that forms the foundation of TACO. A rewriting rule is applied to
+    each tensor expression in the Linalg dialect (MLIR's tensor index notation)
     where the sparsity of tensors is indicated using the per-dimension level
     types dense/compressed together with a specification of the order on the
     dimensions (see [Chou18] for an in-depth discussions and possible
@@ -56,6 +56,10 @@
 
     * [Bik96] Aart J.C. Bik. Compiler Support for Sparse Matrix Computations.
     PhD thesis, Leiden University, May 1996.
+    * [Biketal22] Aart J.C. Bik, Penporn Koanantakool, Tatiana Shpeisman,
+    Nicolas Vasilache, Bixia Zheng, and Fredrik Kjolstad. Compiler Support
+    for Sparse Tensor Computations in MLIR. ACM Transactions on Architecture
+    and Code Optimization, June, 2022 (see https://dl.acm.org/doi/10.1145/3544559).
     * [Chou18] Stephen Chou, Fredrik Berg Kjolstad, and Saman Amarasinghe.
     Format Abstraction for Sparse Tensor Algebra Compilers. Proceedings of
     the ACM on Programming Languages, October 2018.