diff --git a/Documentation/doc/biblio/cgal_manual.bib b/Documentation/doc/biblio/cgal_manual.bib
index 7e461f528be..5ef4ed06080 100644
--- a/Documentation/doc/biblio/cgal_manual.bib
+++ b/Documentation/doc/biblio/cgal_manual.bib
@@ -715,6 +715,17 @@ note         = {\url{ttp://hal.inria.fr/inria-00090522}}
   ,pages        = "325--338"
 }
 
+@article{cgal:gcsa-nasr-13,
+   journal = {Computer Graphics Forum},
+   title = {{Noise-Adaptive Shape Reconstruction from Raw Point Sets}},
+   author = {Simon Giraudot and David Cohen-Steiner and Pierre Alliez },
+   pages = {229-238},
+   volume= {32},
+   number= {5},
+   year = {2013},
+   DOI = {10.1111/cgf.12189},
+}
+
 @manual{ cgal:g-gmpal-96
   ,author       = "T. Granlund"
   ,title        = "{GNU MP}, The {GNU} Multiple Precision Arithmetic Library,
diff --git a/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt b/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
index 86b9c362c7c..528f2f9f7aa 100644
--- a/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
+++ b/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
@@ -153,7 +153,8 @@ Point sets are often used to sample objects with a higher dimension,
 typically a curve in 2D or a surface in 3D. In such cases, finding the
 scale of the objet is crucial, that is to say finding the minimal
 number of points (or the minimal local range) such that the subset of
-points has the appearance of a curve in 2D or a surface in 3D.
+points has the appearance of a curve in 2D or a surface in 3D
+\cgalCite{cgal:gcsa-nasr-13}.
 
 \cgal provides 2 functions that automatically estimate the scale of a
 2D point set sampling a curve or a 3D point set sampling a surface: