diff --git a/r-package/grf/DESCRIPTION b/r-package/grf/DESCRIPTION
index 0da569db1..95e134e84 100644
--- a/r-package/grf/DESCRIPTION
+++ b/r-package/grf/DESCRIPTION
@@ -29,7 +29,7 @@ Imports:
     methods,
     Rcpp (>= 0.12.15),
     sandwich (>= 2.4-0)
-RoxygenNote: 7.3.2
+RoxygenNote: 7.2.3
 Suggests:
     DiagrammeR,
     MASS,
diff --git a/r-package/grf/R/causal_forest.R b/r-package/grf/R/causal_forest.R
index 344f80305..33aca49d9 100644
--- a/r-package/grf/R/causal_forest.R
+++ b/r-package/grf/R/causal_forest.R
@@ -74,8 +74,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained causal forest object. If tune.parameters is enabled,
 #'  then tuning information will be included through the `tuning.output` attribute.
diff --git a/r-package/grf/R/causal_survival_forest.R b/r-package/grf/R/causal_survival_forest.R
index 1ea69ac67..dc532cbb0 100644
--- a/r-package/grf/R/causal_survival_forest.R
+++ b/r-package/grf/R/causal_survival_forest.R
@@ -89,8 +89,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained causal_survival_forest forest object.
 #'
diff --git a/r-package/grf/R/instrumental_forest.R b/r-package/grf/R/instrumental_forest.R
index 55a673113..b885d36b7 100644
--- a/r-package/grf/R/instrumental_forest.R
+++ b/r-package/grf/R/instrumental_forest.R
@@ -75,8 +75,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained instrumental forest object.
 #'
diff --git a/r-package/grf/R/ll_regression_forest.R b/r-package/grf/R/ll_regression_forest.R
index 6b02e8855..27b6b87e0 100644
--- a/r-package/grf/R/ll_regression_forest.R
+++ b/r-package/grf/R/ll_regression_forest.R
@@ -60,8 +60,7 @@
 #'                          to select the optimal parameters. Default is 1000.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained local linear forest object.
 #'
diff --git a/r-package/grf/R/multi_arm_causal_forest.R b/r-package/grf/R/multi_arm_causal_forest.R
index c5b8285cc..f04f1e1f9 100644
--- a/r-package/grf/R/multi_arm_causal_forest.R
+++ b/r-package/grf/R/multi_arm_causal_forest.R
@@ -97,8 +97,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained multi arm causal forest object.
 #'
diff --git a/r-package/grf/R/multi_regression_forest.R b/r-package/grf/R/multi_regression_forest.R
index 03012f643..f4e5b964b 100644
--- a/r-package/grf/R/multi_regression_forest.R
+++ b/r-package/grf/R/multi_regression_forest.R
@@ -45,8 +45,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained multi regression forest object.
 #'
diff --git a/r-package/grf/R/probability_forest.R b/r-package/grf/R/probability_forest.R
index 21062cbaf..a835b806e 100644
--- a/r-package/grf/R/probability_forest.R
+++ b/r-package/grf/R/probability_forest.R
@@ -46,8 +46,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained probability forest object.
 #'
diff --git a/r-package/grf/R/quantile_forest.R b/r-package/grf/R/quantile_forest.R
index 36fd7bfbb..ef82dc6f9 100644
--- a/r-package/grf/R/quantile_forest.R
+++ b/r-package/grf/R/quantile_forest.R
@@ -46,8 +46,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is FALSE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained quantile forest object.
 #'
diff --git a/r-package/grf/R/regression_forest.R b/r-package/grf/R/regression_forest.R
index 294b99bc4..d145d0a86 100644
--- a/r-package/grf/R/regression_forest.R
+++ b/r-package/grf/R/regression_forest.R
@@ -57,8 +57,7 @@
 #' @param compute.oob.predictions Whether OOB predictions on training set should be precomputed. Default is TRUE.
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained regression forest object. If tune.parameters is enabled,
 #'  then tuning information will be included through the `tuning.output` attribute.
diff --git a/r-package/grf/R/survival_forest.R b/r-package/grf/R/survival_forest.R
index 2305369ec..96a30365c 100644
--- a/r-package/grf/R/survival_forest.R
+++ b/r-package/grf/R/survival_forest.R
@@ -52,8 +52,7 @@
 #' Only relevant if `compute.oob.predictions` is TRUE. Default is "Kaplan-Meier".
 #' @param num.threads Number of threads used in training. By default, the number of threads is set
 #'                    to the maximum hardware concurrency.
-#' @param seed The seed of the C++ random number generator. \emph{Note}: For consistent results across
-#'  different platforms, ensure the `num.threads` argument is set to the same value.
+#' @param seed The seed of the C++ random number generator.
 #'
 #' @return A trained survival_forest forest object.
 #'
diff --git a/r-package/grf/man/causal_forest.Rd b/r-package/grf/man/causal_forest.Rd
index 0ebcc525b..fe3b21240 100644
--- a/r-package/grf/man/causal_forest.Rd
+++ b/r-package/grf/man/causal_forest.Rd
@@ -124,8 +124,7 @@ to select the optimal parameters. Default is 1000.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained causal forest object. If tune.parameters is enabled,
diff --git a/r-package/grf/man/causal_survival_forest.Rd b/r-package/grf/man/causal_survival_forest.Rd
index 2f3638c64..27cfc649b 100644
--- a/r-package/grf/man/causal_survival_forest.Rd
+++ b/r-package/grf/man/causal_survival_forest.Rd
@@ -135,8 +135,7 @@ Default is "none" (no parameters are tuned).}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained causal_survival_forest forest object.
diff --git a/r-package/grf/man/instrumental_forest.Rd b/r-package/grf/man/instrumental_forest.Rd
index a7568f34b..bf62bd3c6 100644
--- a/r-package/grf/man/instrumental_forest.Rd
+++ b/r-package/grf/man/instrumental_forest.Rd
@@ -133,8 +133,7 @@ to select the optimal parameters. Default is 1000.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained instrumental forest object.
diff --git a/r-package/grf/man/ll_regression_forest.Rd b/r-package/grf/man/ll_regression_forest.Rd
index 8ddc30cb0..8fb5152b6 100644
--- a/r-package/grf/man/ll_regression_forest.Rd
+++ b/r-package/grf/man/ll_regression_forest.Rd
@@ -114,8 +114,7 @@ to select the optimal parameters. Default is 1000.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained local linear forest object.
diff --git a/r-package/grf/man/multi_arm_causal_forest.Rd b/r-package/grf/man/multi_arm_causal_forest.Rd
index 367721732..68815a5ef 100644
--- a/r-package/grf/man/multi_arm_causal_forest.Rd
+++ b/r-package/grf/man/multi_arm_causal_forest.Rd
@@ -112,8 +112,7 @@ currently only supported for univariate outcomes Y).}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained multi arm causal forest object.
diff --git a/r-package/grf/man/multi_regression_forest.Rd b/r-package/grf/man/multi_regression_forest.Rd
index 006524cb5..c6814d25f 100644
--- a/r-package/grf/man/multi_regression_forest.Rd
+++ b/r-package/grf/man/multi_regression_forest.Rd
@@ -83,8 +83,7 @@ Only applies if honesty is enabled. Default is TRUE.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained multi regression forest object.
diff --git a/r-package/grf/man/probability_forest.Rd b/r-package/grf/man/probability_forest.Rd
index 49c115830..78ebf346a 100644
--- a/r-package/grf/man/probability_forest.Rd
+++ b/r-package/grf/man/probability_forest.Rd
@@ -86,8 +86,7 @@ be at least 2. Default is 2.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained probability forest object.
diff --git a/r-package/grf/man/quantile_forest.Rd b/r-package/grf/man/quantile_forest.Rd
index 4f600ca9a..12daed375 100644
--- a/r-package/grf/man/quantile_forest.Rd
+++ b/r-package/grf/man/quantile_forest.Rd
@@ -86,8 +86,7 @@ Only applies if honesty is enabled. Default is TRUE.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained quantile forest object.
diff --git a/r-package/grf/man/regression_forest.Rd b/r-package/grf/man/regression_forest.Rd
index b20daf28b..3a25a5b21 100644
--- a/r-package/grf/man/regression_forest.Rd
+++ b/r-package/grf/man/regression_forest.Rd
@@ -105,8 +105,7 @@ to select the optimal parameters. Default is 1000.}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained regression forest object. If tune.parameters is enabled,
diff --git a/r-package/grf/man/survival_forest.Rd b/r-package/grf/man/survival_forest.Rd
index c3e77a79b..5a2261ff9 100644
--- a/r-package/grf/man/survival_forest.Rd
+++ b/r-package/grf/man/survival_forest.Rd
@@ -94,8 +94,7 @@ Only relevant if `compute.oob.predictions` is TRUE. Default is "Kaplan-Meier".}
 \item{num.threads}{Number of threads used in training. By default, the number of threads is set
 to the maximum hardware concurrency.}
 
-\item{seed}{The seed of the C++ random number generator. \emph{Note}: For consistent results across
-different platforms, ensure the `num.threads` argument is set to the same value.}
+\item{seed}{The seed of the C++ random number generator.}
 }
 \value{
 A trained survival_forest forest object.