diff --git a/DESCRIPTION b/DESCRIPTION
index 79395bcc..78e21923 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -53,7 +53,7 @@ Encoding: UTF-8
 Language: en-US
 NeedsCompilation: no
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Collate:
     'Archive.R'
     'ArchiveAsync.R'
diff --git a/R/OptimInstanceAsyncMultiCrit.R b/R/OptimInstanceAsyncMultiCrit.R
index a96d0796..eb49302d 100644
--- a/R/OptimInstanceAsyncMultiCrit.R
+++ b/R/OptimInstanceAsyncMultiCrit.R
@@ -50,8 +50,10 @@ OptimInstanceAsyncMultiCrit = R6Class("OptimInstanceAsyncMultiCrit",
     #' For internal use.
     #'
     #' @param ydt (`numeric(1)`)\cr
-    #'  Optimal outcomes, e.g. the Pareto front.
-    assign_result = function(xdt, ydt) {
+    #' Optimal outcomes, e.g. the Pareto front.
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, ydt, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())
diff --git a/R/OptimInstanceAsyncSingleCrit.R b/R/OptimInstanceAsyncSingleCrit.R
index fffdb8b5..e32ebcab 100644
--- a/R/OptimInstanceAsyncSingleCrit.R
+++ b/R/OptimInstanceAsyncSingleCrit.R
@@ -52,7 +52,9 @@ OptimInstanceAsyncSingleCrit = R6Class("OptimInstanceAsyncSingleCrit",
     #'
     #' @param y (`numeric(1)`)\cr
     #' Optimal outcome.
-    assign_result = function(xdt, y) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, y, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())
diff --git a/R/OptimInstanceBatchMultiCrit.R b/R/OptimInstanceBatchMultiCrit.R
index 8986adeb..22294651 100644
--- a/R/OptimInstanceBatchMultiCrit.R
+++ b/R/OptimInstanceBatchMultiCrit.R
@@ -44,7 +44,9 @@ OptimInstanceBatchMultiCrit = R6Class("OptimInstanceBatchMultiCrit",
     #' The [Optimizer] object writes the best found points
     #' and estimated performance values here (probably the Pareto set / front).
     #' For internal use.
-    assign_result = function(xdt, ydt) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, ydt, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())
diff --git a/R/OptimInstanceBatchSingleCrit.R b/R/OptimInstanceBatchSingleCrit.R
index 5e35a1c3..7a016882 100644
--- a/R/OptimInstanceBatchSingleCrit.R
+++ b/R/OptimInstanceBatchSingleCrit.R
@@ -50,7 +50,9 @@ OptimInstanceBatchSingleCrit = R6Class("OptimInstanceBatchSingleCrit",
     #'
     #' @param y (`numeric(1)`)\cr
     #' Optimal outcome.
-    assign_result = function(xdt, y) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, y, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())
diff --git a/R/Optimizer.R b/R/Optimizer.R
index 8f08e072..b81db536 100644
--- a/R/Optimizer.R
+++ b/R/Optimizer.R
@@ -165,9 +165,11 @@ Optimizer = R6Class("Optimizer",
 #' @export
 assign_result_default = function(inst) {
   assert_r6(inst, "OptimInstance")
+
   res = inst$archive$best()
   ids = inst$search_space$ids()
-  if ("keys" %in% names(res)) ids = c(ids, "keys")
+  # workaround until ... works
+  if ("internal_tuned_values" %in% names(res)) ids = c(ids, "internal_tuned_values")
   xdt = res[, ids, with = FALSE]
 
   if (inherits(inst, "OptimInstanceBatchMultiCrit") || inherits(inst, "OptimInstanceAsyncMultiCrit")) {
diff --git a/man/OptimInstanceAsyncMultiCrit.Rd b/man/OptimInstanceAsyncMultiCrit.Rd
index 4f9cbcb2..3730834f 100644
--- a/man/OptimInstanceAsyncMultiCrit.Rd
+++ b/man/OptimInstanceAsyncMultiCrit.Rd
@@ -92,7 +92,7 @@ If a rush instance is supplied, the tuning runs without batches.}
 The \link{OptimizerAsync} writes the best found points and estimated performance values here (probably the Pareto set / front).
 For internal use.
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceAsyncMultiCrit$assign_result(xdt, ydt)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceAsyncMultiCrit$assign_result(xdt, ydt, ...)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
@@ -106,6 +106,9 @@ However, \code{xdt} can contain additional columns.}
 
 \item{\code{ydt}}{(\code{numeric(1)})\cr
 Optimal outcomes, e.g. the Pareto front.}
+
+\item{\code{...}}{(\code{any})\cr
+ignored.}
 }
 \if{html}{\out{</div>}}
 }
diff --git a/man/OptimInstanceAsyncSingleCrit.Rd b/man/OptimInstanceAsyncSingleCrit.Rd
index 4a18e520..227761df 100644
--- a/man/OptimInstanceAsyncSingleCrit.Rd
+++ b/man/OptimInstanceAsyncSingleCrit.Rd
@@ -92,7 +92,7 @@ If a rush instance is supplied, the tuning runs without batches.}
 The \link{OptimizerAsync} object writes the best found point and estimated performance value here.
 For internal use.
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceAsyncSingleCrit$assign_result(xdt, y)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceAsyncSingleCrit$assign_result(xdt, y, ...)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
@@ -106,6 +106,9 @@ However, \code{xdt} can contain additional columns.}
 
 \item{\code{y}}{(\code{numeric(1)})\cr
 Optimal outcome.}
+
+\item{\code{...}}{(\code{any})\cr
+ignored.}
 }
 \if{html}{\out{</div>}}
 }
diff --git a/man/OptimInstanceBatchMultiCrit.Rd b/man/OptimInstanceBatchMultiCrit.Rd
index e60d2767..9d58324c 100644
--- a/man/OptimInstanceBatchMultiCrit.Rd
+++ b/man/OptimInstanceBatchMultiCrit.Rd
@@ -91,7 +91,7 @@ The \link{Optimizer} object writes the best found points
 and estimated performance values here (probably the Pareto set / front).
 For internal use.
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceBatchMultiCrit$assign_result(xdt, ydt)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceBatchMultiCrit$assign_result(xdt, ydt, ...)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
@@ -105,6 +105,9 @@ However, \code{xdt} can contain additional columns.}
 
 \item{\code{ydt}}{(\code{\link[data.table:data.table]{data.table::data.table()}})\cr
 Optimal outcome.}
+
+\item{\code{...}}{(\code{any})\cr
+ignored.}
 }
 \if{html}{\out{</div>}}
 }
diff --git a/man/OptimInstanceBatchSingleCrit.Rd b/man/OptimInstanceBatchSingleCrit.Rd
index 1d0dea26..0a27cc0f 100644
--- a/man/OptimInstanceBatchSingleCrit.Rd
+++ b/man/OptimInstanceBatchSingleCrit.Rd
@@ -79,7 +79,7 @@ List of callbacks.}
 The \link{Optimizer} object writes the best found point
 and estimated performance value here. For internal use.
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceBatchSingleCrit$assign_result(xdt, y)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{OptimInstanceBatchSingleCrit$assign_result(xdt, y, ...)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
@@ -93,6 +93,9 @@ However, \code{xdt} can contain additional columns.}
 
 \item{\code{y}}{(\code{numeric(1)})\cr
 Optimal outcome.}
+
+\item{\code{...}}{(\code{any})\cr
+ignored.}
 }
 \if{html}{\out{</div>}}
 }