diff --git a/docs/source/api.rst b/docs/source/api.rst
index 29b1f5f92..6b0135532 100644
--- a/docs/source/api.rst
+++ b/docs/source/api.rst
@@ -124,6 +124,7 @@ Built-in Implementations
    fsspec.implementations.local.LocalFileSystem
    fsspec.implementations.memory.MemoryFileSystem
    fsspec.implementations.reference.ReferenceFileSystem
+   fsspec.implementations.reference.LazyReferenceMapper
    fsspec.implementations.sftp.SFTPFileSystem
    fsspec.implementations.smb.SMBFileSystem
    fsspec.implementations.tar.TarFileSystem
@@ -181,6 +182,9 @@ Built-in Implementations
 .. autoclass:: fsspec.implementations.reference.ReferenceFileSystem
    :members: __init__
 
+.. autoclass:: fsspec.implementations.reference.LazyReferenceMapper
+   :members: __init__
+
 .. autoclass:: fsspec.implementations.sftp.SFTPFileSystem
    :members: __init__
 
diff --git a/fsspec/implementations/reference.py b/fsspec/implementations/reference.py
index ac20bdee2..25ec3febd 100644
--- a/fsspec/implementations/reference.py
+++ b/fsspec/implementations/reference.py
@@ -82,8 +82,12 @@ def ravel_multi_index(idx, sizes):
 
 
 class LazyReferenceMapper(collections.abc.MutableMapping):
-    """Interface to read parquet store as if it were a standard kerchunk
-    references dict."""
+    """This interface can be used to read/write references from Parquet stores.
+    It is not intended for other types of references.
+    It can be used with Kerchunk's MultiZarrToZarr method to combine
+    references into a parquet store.
+    Examples of this use-case can be found here:
+    https://fsspec.github.io/kerchunk/advanced.html?highlight=parquet#parquet-storage"""
 
     # import is class level to prevent numpy dep requirement for fsspec
     @property
@@ -108,9 +112,15 @@ def __init__(
             Root of parquet store
         fs : fsspec.AbstractFileSystem
             fsspec filesystem object, default is local filesystem.
-        cache_size : int
+        cache_size : int, default=128
             Maximum size of LRU cache, where cache_size*record_size denotes
             the total number of references that can be loaded in memory at once.
+        categorical_threshold : int
+            Encode urls as pandas.Categorical to reduce memory footprint if the ratio
+            of the number of unique urls to total number of refs for each variable
+            is greater than or equal to this number. (default 10)
+
+
         """
         self.root = root
         self.chunk_sizes = {}