diff --git a/README.md b/README.md
index 50fae016..d82200a1 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 # CUTLASS 3.9.0
 
-_CUTLASS 3.9.0 - March 2025_
+_CUTLASS 3.9.0 - April 2025_
 
 CUTLASS is a collection of CUDA C++ template abstractions for implementing
 high-performance matrix-matrix multiplication (GEMM) and related computations at all levels 
@@ -53,15 +53,23 @@ architecture.
   - [Grouped GEMM with nvfp4 datatype](./examples/79_blackwell_geforce_gemm/79d_blackwell_geforce_nvfp4_grouped_gemm.cu).
   - [Sparse Blockscaled GEMM with mxfp8 input datatype and BF16 output tensor](./examples/80_blackwell_geforce_sparse_gemm/80a_blackwell_geforce_mxfp8_bf16_sparse_gemm.cu).
   - [Sparse Blockscaled GEMM with NVFP4 input datatype and NVFP4 output tensor](./examples/80_blackwell_geforce_sparse_gemm/80b_blackwell_geforce_nvfp4_nvfp4_sparse_gemm.cu).
-* A new Multi-head Latent Attention (MLA) for SM100 Blackwell architecture in CUTLASS [example](./examples/77_blackwell_fmha/): both [forward](./examples/77_blackwell_fmha/77_blackwell_fmha.cu) and [backward](./examples/77_blackwell_fmha/77_blackwell_fmha_bwd.cu) passes are supported.
-* A new [distributed GEMM example](./examples/82_blackwell_distributed_gemm/82_blackwell_distributed_gemm.cu) for SM100 Blackwell architecture.
 * Set of unit tests that demonstrate the usage of both [sparse](./test/unit/gemm/device/sm120_blockscaled_sparse_tensorop_gemm/) and [dense](./test/unit/gemm/device/sm120_blockscaled_tensorop_gemm/) Blackwell SM120 blockscaled GEMM.
+* Support for Blackwell SM100 Sparse kernels:
+  - Collective mainloop that target for
+    * [SM100 Sparse GEMM](./include/cutlass/gemm/collective/sm100_sparse_mma_warpspecialized.hpp)
+* Set of example that demonstrate the usage of the 3.x API for targeting Blackwell SM100 Sparse GEMM:
+  - [Sparse GEMM](./examples/83_blackwell_sparse_gemm/83_blackwell_sparse_gemm.cu)
+  - [Blockscaled Sparse GEMM with NVFP4 input data type](./examples/84_blackwell_narrow_precision_sparse_gemm/84a_blackwell_nvfp4_bf16_sparse_gemm.cu)
+  - [Blockscaled Sparse GEMM with mixed input data type (MXFP8 and MXFP4)](./examples/84_blackwell_narrow_precision_sparse_gemm/84b_blackwell_mixed_mxfp8_bf16_sparse_gemm.cu)
+* Set of unit tests that demonstrate the usage of [sparse](./test/unit/gemm/device/sm100_sparse_tensorop_gemm) and [blockscaled sparse](./test/unit/gemm/device/sm100_blockscaled_sparse_tensorop_gemm) Blackwell SM100 GEMM.
+* A new Multi-head Latent Attention (MLA) for SM100 Blackwell architecture in CUTLASS [example](./examples/77_blackwell_fmha/) covers the flashMLA-like weight-absorbed decoding use-case.
+* A new FMHA Backward kernel for SM100 Blackwell architecture extends CUTLASS [example](./examples/77_blackwell_fmha/) to show how the five backward pass MMAs can be fused into a single kernel to achieve high performance.
+* A new [distributed GEMM example](./examples/82_blackwell_distributed_gemm/82_blackwell_distributed_gemm.cu) for SM100 Blackwell architecture.
 * Enhancement and new support of block-wise and group-wise GEMM for Hopper and Blackwell architectures:
   - Enhancement of [blockwise GEMM](./examples/67_hopper_fp8_warp_specialized_gemm_with_blockwise_scaling/67_hopper_fp8_warp_specialized_gemm_with_blockwise_scaling.cu) for Hopper architecture.
   - Enhancement of [groupwise GEMM](./examples/67_hopper_fp8_warp_specialized_gemm_with_blockwise_scaling/67_hopper_fp8_warp_specialized_gemm_with_groupwise_scaling.cu) for Hopper architecture.
   - Support for [grouped GEMM with blockwise and groupwise scaling](./examples/68_hopper_fp8_warp_specialized_grouped_gemm_with_blockwise_scaling/) for Hopper architecture.
   - Support for [grouped-wise GEMM](./tools/profiler/src/blockwise_gemm_operation_profiler.cu) in CUTLASS profiler.
-  - Support for [mixed-dtype grouped GEMM with groupwise scaling](./examples/69_hopper_mixed_dtype_grouped_gemm) for Hopper architecture.
   - Support for [blockwise GEMM](./examples/81_blackwell_gemm_blockwise/81_blackwell_gemm_blockwise.cu) for Blackwell architecture.
   - Support for [groupwise GEMM](./examples/81_blackwell_gemm_blockwise/81_blackwell_gemm_groupwise.cu) for Blackwell architecture.
   - Support for [grouped GEMM with blockwise](./examples/81_blackwell_gemm_blockwise/81_blackwell_grouped_gemm_blockwise.cu) and [groupwise scaling](./examples/81_blackwell_gemm_blockwise/81_blackwell_grouped_gemm_groupwise.cu) for Blackwell architecture.