diff --git a/DESCRIPTION b/DESCRIPTION
index d09ab9be6..b4088f0d8 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: mirai
 Type: Package
 Title: Minimalist Async Evaluation Framework for R
-Version: 0.12.1.9000
+Version: 0.12.1.9001
 Description: Lightweight parallel code execution and distributed computing.
     Designed for simplicity, a 'mirai' evaluates an R expression asynchronously,
     on local or network resources, resolving automatically upon completion.
@@ -23,7 +23,7 @@ Encoding: UTF-8
 Depends: 
     R (>= 3.5)
 Imports: 
-    nanonext (>= 0.12.0)
+    nanonext (>= 0.13.2.9001)
 Enhances: 
     parallel,
     promises
diff --git a/NEWS.md b/NEWS.md
index 2342baf3a..7f1a62183 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,6 @@
-# mirai 0.12.1.9000 (development)
+# mirai 0.12.1.9001 (development)
+
+* `serialization` adds arguments 'class' and 'list' for custom serialisation of all types of reference object / serialization function signature.
 
 # mirai 0.12.1
 
diff --git a/R/daemons.R b/R/daemons.R
index 5156969fc..41e5efcad 100644
--- a/R/daemons.R
+++ b/R/daemons.R
@@ -425,11 +425,18 @@ status <- function(.compute = "default") {
 #'     receiving external pointer reference objects.
 #'
 #' @param refhook \strong{either} a list or pairlist of two functions: the
-#'     signature for the first must accept a list of external pointer type
-#'     objects and return a raw vector, e.g. \code{torch::torch_serialize}, and
-#'     the second must accept a raw vector and return a list of external pointer
-#'     type objects, e.g. \code{torch::torch_load},\cr \strong{or else} NULL to
-#'     reset.
+#'     signature for the first must accept a reference object inheriting from
+#'     'class' (or a list of such objects) and return a raw vector, and the
+#'     second must accept a raw vector and return reference objects (or a list
+#'     of such objects), \cr \strong{or else} NULL to reset.
+#' @param class [default ""] a character string representing the class of object
+#'     that these serialization function will be applied to, e.g. 'ArrowTabular'
+#'     or 'torch_tensor'.
+#' @param list [default FALSE] the serialization functions accept and return
+#'     reference object individually e.g. \code{arrow::write_to_raw} and
+#'     \code{arrow::read_ipc_stream}. If TRUE, the serialization functions
+#'     accept and return a list of reference objects, e.g.
+#'     \code{torch::torch_serialize} and \code{torch::torch_load}.
 #'
 #' @return Invisibly, the pairlist of currently-registered 'refhook' functions.
 #'     A message is printed to the console when functions are successfully
@@ -451,10 +458,10 @@ status <- function(.compute = "default") {
 #'
 #' @export
 #'
-serialization <- function(refhook = list()) {
+serialization <- function(refhook = list(), class = "", list = FALSE) {
 
   register <- !missing(refhook)
-  cfg <- next_config(refhook = refhook)
+  cfg <- next_config(refhook = refhook, class = class, list = list)
 
   if (register) {
     if (is.list(refhook) && length(refhook) == 2L && is.function(refhook[[1L]]) && is.function(refhook[[2L]]))
@@ -462,7 +469,8 @@ serialization <- function(refhook = list()) {
         if (is.null(refhook))
           cat("mirai serialization functions cancelled\n", file = stderr()) else
             stop(._[["refhook_invalid"]])
-    register_everywhere(refhook)
+    `[[<-`(., "refhook", list(refhook, class, list))
+    register_everywhere(refhook = refhook, class = class, list = list)
   }
 
   invisible(cfg)
@@ -583,11 +591,13 @@ query_status <- function(envir) {
                            dimnames = list(envir[["urls"]], c("i", "online", "instance", "assigned", "complete"))))
 }
 
-register_everywhere <- function(refhook)
+register_everywhere <- function(refhook, class, list)
   for (.compute in names(..))
-    everywhere(mirai::serialization(refhook), refhook = refhook, .compute = .compute)
+    everywhere(mirai::serialization(refhook = refhook, class = class, list = list),
+               refhook = refhook, class = class, list = list, .compute = .compute)
 
-serialization_refhook <- function(refhook = next_config())
-  if (length(refhook[[1L]])) register_everywhere(refhook)
+serialization_refhook <- function(refhook = .[["refhook"]])
+  if (length(refhook[[1L]]))
+    register_everywhere(refhook = refhook[[1L]], class = refhook[[2L]], list = refhook[[3L]])
 
 ._scm_. <- as.raw(c(0x07, 0x00, 0x00, 0x00, 0x42, 0x0a, 0x03, 0x00, 0x00, 0x00, 0x02, 0x03, 0x04, 0x00, 0x00, 0x05, 0x03, 0x00, 0x05, 0x00, 0x00, 0x00, 0x55, 0x54, 0x46, 0x2d, 0x38, 0xfc, 0x00, 0x00, 0x00))
diff --git a/man/serialization.Rd b/man/serialization.Rd
index f83ad32df..d623f4996 100644
--- a/man/serialization.Rd
+++ b/man/serialization.Rd
@@ -4,15 +4,24 @@
 \alias{serialization}
 \title{Custom Serialization Functions}
 \usage{
-serialization(refhook = list())
+serialization(refhook = list(), class = "", list = FALSE)
 }
 \arguments{
 \item{refhook}{\strong{either} a list or pairlist of two functions: the
-signature for the first must accept a list of external pointer type
-objects and return a raw vector, e.g. \code{torch::torch_serialize}, and
-the second must accept a raw vector and return a list of external pointer
-type objects, e.g. \code{torch::torch_load},\cr \strong{or else} NULL to
-reset.}
+signature for the first must accept a reference object inheriting from
+'class' (or a list of such objects) and return a raw vector, and the
+second must accept a raw vector and return reference objects (or a list
+of such objects), \cr \strong{or else} NULL to reset.}
+
+\item{class}{[default ""] a character string representing the class of object
+that these serialization function will be applied to, e.g. 'ArrowTabular'
+or 'torch_tensor'.}
+
+\item{list}{[default FALSE] the serialization functions accept and return
+reference object individually e.g. \code{arrow::write_to_raw} and
+\code{arrow::read_ipc_stream}. If TRUE, the serialization functions
+accept and return a list of reference objects, e.g.
+\code{torch::torch_serialize} and \code{torch::torch_load}.}
 }
 \value{
 Invisibly, the pairlist of currently-registered 'refhook' functions.
diff --git a/vignettes/torch.Rmd b/vignettes/torch.Rmd
index 7da1eabae..3eb9e3fb0 100644
--- a/vignettes/torch.Rmd
+++ b/vignettes/torch.Rmd
@@ -26,7 +26,9 @@ This allows tensors from the [{torch}](https://torch.mlverse.org/) package to be
 library(mirai)
 library(torch)
 
-serialization(refhook = list(torch:::torch_serialize, torch::torch_load))
+serialization(refhook = list(torch:::torch_serialize, torch::torch_load),
+              class = "torch_tensor",
+              list = TRUE)
 daemons(1)
 #> [1] 1
 everywhere(library(torch))
@@ -71,35 +73,35 @@ The returned model is an object containing many tensor elements.
 m$data$parameters$conv1.weight
 #> torch_tensor
 #> (1,1,.,.) = 
-#>  -0.0086  0.0254  0.0687 -0.0105 -0.0753
-#>  -0.1362  0.0654 -0.0027 -0.1823  0.0603
-#>  -0.0062 -0.1302 -0.1665  0.1108  0.0812
-#>   0.1842 -0.1088 -0.1089 -0.1304  0.1951
-#>  -0.0307 -0.0876  0.1167  0.0421 -0.0779
+#>  -0.1377 -0.1946 -0.0898 -0.0106  0.1031
+#>   0.0351 -0.1507  0.0192 -0.0240  0.1700
+#>   0.1107 -0.1232 -0.0690 -0.0868  0.0884
+#>  -0.0267 -0.0022  0.1997 -0.1383  0.0435
+#>  -0.1809 -0.1085 -0.0297 -0.0644 -0.0401
 #> 
 #> (2,1,.,.) = 
-#>  -0.1645 -0.1112  0.1982 -0.1861  0.0050
-#>  -0.0487 -0.0871  0.0554  0.1073 -0.0756
-#>  -0.1663  0.0077 -0.1920 -0.0195 -0.0595
-#>   0.0111 -0.0025  0.1631 -0.0315  0.1216
-#>   0.1886 -0.1567  0.0554  0.0150 -0.0205
+#>  -0.1002  0.1828  0.0886 -0.1793  0.1938
+#>  -0.0046  0.1006 -0.0480 -0.0389  0.0083
+#>   0.0761  0.0242  0.0283 -0.1859  0.1711
+#>   0.0402 -0.1847  0.1351  0.1842  0.0094
+#>   0.1114 -0.1828 -0.1846 -0.0650  0.1380
 #> 
 #> (3,1,.,.) = 
-#>   0.0171  0.0304 -0.1556  0.1295  0.1315
-#>  -0.1445  0.0111  0.1528  0.1383  0.0425
-#>  -0.0562  0.1270  0.0210  0.1337  0.0721
-#>   0.1621  0.0851 -0.0242 -0.1696  0.0396
-#>   0.1895  0.1438 -0.0873  0.0403  0.1860
+#>   0.1659 -0.0655  0.0936  0.1089  0.0514
+#>  -0.0058  0.1683 -0.0303 -0.0817 -0.1813
+#>  -0.0236 -0.1817 -0.1238  0.1651  0.1937
+#>  -0.1627 -0.0650  0.1760  0.0215 -0.0887
+#>  -0.0851  0.1430  0.1322 -0.1617 -0.1646
 #> 
 #> (4,1,.,.) = 
-#>  -0.0101 -0.1460  0.0260  0.0511  0.0726
-#>   0.1379 -0.1271 -0.0677 -0.1966  0.1740
-#>  -0.0882 -0.0774 -0.1440  0.0796  0.0129
-#>   0.0191  0.0340 -0.1444  0.1827  0.1365
-#>  -0.1977 -0.0124  0.0987  0.0948  0.0799
+#>  -0.0520 -0.0200  0.0354 -0.1181 -0.1892
+#>   0.1204  0.0877  0.1280 -0.0056  0.0088
+#>  -0.1765 -0.0036 -0.0664  0.0417  0.0189
+#>   0.1327 -0.1689  0.0132  0.0849 -0.0634
+#>   0.0072 -0.1516  0.0633  0.0185  0.0992
 #> 
 #> (5,1,.,.) = 
-#>  -0.1495 -0.0418  0.0334  0.0977 -0.1629
+#>   0.0992  0.0912 -0.1982  0.1880 -0.0986
 #> ... [the output was truncated (use n=-1 to disable)]
 #> [ CPUFloatType{20,1,5,5} ][ requires_grad = TRUE ]
 ```
diff --git a/vignettes/torch.Rmd.orig b/vignettes/torch.Rmd.orig
index be9f37933..e106fa121 100644
--- a/vignettes/torch.Rmd.orig
+++ b/vignettes/torch.Rmd.orig
@@ -31,7 +31,9 @@ This allows tensors from the [{torch}](https://torch.mlverse.org/) package to be
 library(mirai)
 library(torch)
 
-serialization(refhook = list(torch:::torch_serialize, torch::torch_load))
+serialization(refhook = list(torch:::torch_serialize, torch::torch_load),
+              class = "torch_tensor",
+              list = TRUE)
 daemons(1)
 everywhere(library(torch))
 ```