diff --git a/R/dqset.seed.R b/R/dqset.seed.R
index b8fe47e..cd3110f 100644
--- a/R/dqset.seed.R
+++ b/R/dqset.seed.R
@@ -5,7 +5,10 @@
 #'   according to a uniform, normal and exponential distribution. These
 #'   functions are modeled after the \code{base} functions
 #'   \code{\link{set.seed}}, \code{\link{RNGkind}}, \code{\link{runif}},
-#'   \code{\link{rnorm}}, and \code{\link{rexp}}.
+#'   \code{\link{rnorm}}, and \code{\link{rexp}}. However, note that the functions
+#'   provided here do not accept vector arguments for the number of observations
+#'   as well as the parameters describing the distribution functions. Please see
+#'   \code{\link{register_methods}} if you need this functionality.
 #'
 #'   \code{dqrrademacher} uses a fast algorithm to generate random
 #'   Rademacher variables (-1 and 1 with equal probability). To do so, it
@@ -36,7 +39,7 @@
 #'   \item{pcg64}{The default 64 bit variant from the PCG family developed by
 #'    Melissa O'Neill. See \url{https://www.pcg-random.org/} for more details.}
 #'   \item{Xoroshiro128++ and Xoshiro256++}{RNGs developed by David Blackman and
-#'    Sebastiano Vigna. See \url{https://xoshiro.di.unimi.it/} for more details.
+#'    Sebastiano Vigna. See \url{https://prng.di.unimi.it/} for more details.
 #'    The older generators Xoroshiro128+ and Xoshiro256+ should be used only for
 #'    backwards compatibility.}
 #'   \item{Threefry}{The 64 bit version of the 20 rounds Threefry engine as
diff --git a/man/dqrng-functions.Rd b/man/dqrng-functions.Rd
index cfdf75b..c3d371a 100644
--- a/man/dqrng-functions.Rd
+++ b/man/dqrng-functions.Rd
@@ -61,7 +61,10 @@ The \code{dqrng} package provides several fast random number
   according to a uniform, normal and exponential distribution. These
   functions are modeled after the \code{base} functions
   \code{\link{set.seed}}, \code{\link{RNGkind}}, \code{\link{runif}},
-  \code{\link{rnorm}}, and \code{\link{rexp}}.
+  \code{\link{rnorm}}, and \code{\link{rexp}}. However, note that the functions
+  provided here do not accept vector arguments for the number of observations
+  as well as the parameters describing the distribution functions. Please see
+  \code{\link{register_methods}} if you need this functionality.
 
   \code{dqrrademacher} uses a fast algorithm to generate random
   Rademacher variables (-1 and 1 with equal probability). To do so, it
@@ -77,7 +80,7 @@ Supported RNG kinds:
   \item{pcg64}{The default 64 bit variant from the PCG family developed by
    Melissa O'Neill. See \url{https://www.pcg-random.org/} for more details.}
   \item{Xoroshiro128++ and Xoshiro256++}{RNGs developed by David Blackman and
-   Sebastiano Vigna. See \url{https://xoshiro.di.unimi.it/} for more details.
+   Sebastiano Vigna. See \url{https://prng.di.unimi.it/} for more details.
    The older generators Xoroshiro128+ and Xoshiro256+ should be used only for
    backwards compatibility.}
   \item{Threefry}{The 64 bit version of the 20 rounds Threefry engine as
diff --git a/vignettes/cpp-api.Rmd b/vignettes/cpp-api.Rmd
index 4b0c2b9..b593142 100644
--- a/vignettes/cpp-api.Rmd
+++ b/vignettes/cpp-api.Rmd
@@ -137,7 +137,7 @@ Rcpp::XPtr<dqrng::random_64bit_generator> dqrng::get_rng()
 
 Direct usage of this method is **discouraged**. The prefered way of accesing the global RNG is to instantiate `dqrng::random_64bit_accessor` within your function. Note that you MUST NOT delete the global RNG. Using `dqrng::random_64bit_accessor` makes this impossible. In addition, you SHOULD NOT store a reference to the RNG permanently, because it can be invalidated by calls to `dqRNGkind`. Therefore, instances of `dqrng::random_64bit_accessor` SHOULD be stored as (non-static) variables in functions.
 
-Note that `dqrng::random_64bit_accessor` supports [UniformRandomBitGenerator](https://en.cppreference.com/w/cpp/named_req/UniformRandomBitGenerator) and can therefore be used together with any C++11 distribtion function. In addition, the follwing functions are supported, since they are inherited from the abstract parent class `random_64bit_generator`: 
+Note that `dqrng::random_64bit_accessor` supports [UniformRandomBitGenerator](https://en.cppreference.com/w/cpp/named_req/UniformRandomBitGenerator) and can therefore be used together with any C++11 distribtion function. In addition, the following functions are supported, since they are inherited from the abstract parent class `random_64bit_generator`: 
 
 ```cpp
 // clone RNG and select a different stream
@@ -178,4 +178,4 @@ generate<Dist>(start, end, param1, ... paramN)
 :    A container that is to be filled with variates from the distribution function. Needs to support `std::begin` and `std::end`.
 
 `start, end`
-:   Forward iterators pointing to start and end of a range to be filled with variates from the distribution function.
\ No newline at end of file
+:   Forward iterators pointing to start and end of a range to be filled with variates from the distribution function.