diff --git a/contents/euclidean_algorithm/code/c++/euclidean.cpp b/contents/euclidean_algorithm/code/c++/euclidean.cpp
index c7e6a04ba..f7b818802 100644
--- a/contents/euclidean_algorithm/code/c++/euclidean.cpp
+++ b/contents/euclidean_algorithm/code/c++/euclidean.cpp
@@ -1,5 +1,3 @@
-// originally contributed by James Schloss (Leios)
-// restyled by Nicole Mazzuca (ubsan)
 #include <cmath>
 #include <iostream>
 #include <utility>
diff --git a/contents/euclidean_algorithm/euclidean_algorithm.md b/contents/euclidean_algorithm/euclidean_algorithm.md
index 780f7df90..942c19614 100644
--- a/contents/euclidean_algorithm/euclidean_algorithm.md
+++ b/contents/euclidean_algorithm/euclidean_algorithm.md
@@ -12,7 +12,7 @@ The algorithm is a simple way to find the *greatest common divisor* (GCD) of two
 {% sample lang="clj" %}
 [import:2-8, lang="clojure"](code/clojure/euclidean_example.clj)
 {% sample lang="cpp" %}
-[import:20-33, lang="c_cpp"](code/c++/euclidean.cpp)
+[import:18-31, lang="c_cpp"](code/c++/euclidean.cpp)
 {% sample lang="java" %}
 [import:3-16, lang="java"](code/java/EuclideanAlgo.java)
 {% sample lang="js" %}
@@ -57,7 +57,7 @@ Modern implementations, though, often use the modulus operator (%) like so
 {% sample lang="clj" %}
 [import:9-13, lang="clojure"](code/clojure/euclidean_example.clj)
 {% sample lang="cpp" %}
-[import:7-17, lang="c_cpp"](code/c++/euclidean.cpp)
+[import:5-15, lang="c_cpp"](code/c++/euclidean.cpp)
 {% sample lang="java" %}
 [import:18-26, lang="java"](code/java/EuclideanAlgo.java)
 {% sample lang="js" %}
diff --git a/contents/tree_traversal/code/c++/tree_example.cpp b/contents/tree_traversal/code/c++/tree_example.cpp
index 748d4e243..52b356853 100644
--- a/contents/tree_traversal/code/c++/tree_example.cpp
+++ b/contents/tree_traversal/code/c++/tree_example.cpp
@@ -1,6 +1,3 @@
-// initially contributed by James Schloss (Leios)
-// restyled by Nicole Mazzuca (ubsan)
-
 #include <algorithm>
 #include <cstddef>
 #include <iostream>
diff --git a/contents/tree_traversal/tree_traversal.md b/contents/tree_traversal/tree_traversal.md
index 48bb52978..5d77b75c3 100644
--- a/contents/tree_traversal/tree_traversal.md
+++ b/contents/tree_traversal/tree_traversal.md
@@ -6,7 +6,7 @@ Trees are naturally recursive data structures, and because of this, we cannot ac
 {% sample lang="jl" %}
 [import:3-7, lang:"julia"](code/julia/Tree.jl)
 {% sample lang="cpp" %}
-[import:15-18, lang:"c_cpp"](code/c++/tree_example.cpp)
+[import:12-15, lang:"c_cpp"](code/c++/tree_example.cpp)
 {% sample lang="cs" %}
 [import:7-11, lang:"csharp"](code/csharp/Tree.cs)
 {% sample lang="c" %}
@@ -40,7 +40,7 @@ Because of this, the most straightforward way to traverse the tree might be recu
 {% sample lang="jl" %}
 [import:9-16, lang:"julia"](code/julia/Tree.jl)
 {% sample lang="cpp" %}
-[import:20-27, lang:"c_cpp"](code/c++/tree_example.cpp)
+[import:17-24, lang:"c_cpp"](code/c++/tree_example.cpp)
 {% sample lang="cs" %}
 [import:34-45, lang:"csharp"](code/csharp/Tree.cs)
 {% sample lang="c" %}
@@ -83,7 +83,7 @@ Now, in this case the first element searched through is still the root of the tr
 {% sample lang="jl" %}
 [import:18-26, lang:"julia"](code/julia/Tree.jl)
 {% sample lang="cpp" %}
-[import:29-34 lang:"c_cpp"](code/c++/tree_example.cpp)
+[import:26-31, lang:"c_cpp"](code/c++/tree_example.cpp)
 {% sample lang="cs" %}
 [import:47-58, lang:"csharp"](code/csharp/Tree.cs)
 {% sample lang="c" %}
@@ -120,7 +120,7 @@ In this case, the first node visited is at the bottom of the tree and moves up t
 {% sample lang="jl" %}
 [import:28-43, lang:"julia"](code/julia/Tree.jl)
 {% sample lang="cpp" %}
-[import:37-55 lang:"c_cpp"](code/c++/tree_example.cpp)
+[import:34-52 lang:"c_cpp"](code/c++/tree_example.cpp)
 {% sample lang="cs" %}
 [import:60-79, lang:"csharp"](code/csharp/Tree.cs)
 {% sample lang="c" %}
@@ -167,7 +167,7 @@ In code, it looks like this:
 {% sample lang="jl" %}
 [import:45-56, lang:"julia"](code/julia/Tree.jl)
 {% sample lang="cpp" %}
-[import:58-73, lang:"c_cpp"](code/c++/tree_example.cpp)
+[import:55-70, lang:"c_cpp"](code/c++/tree_example.cpp)
 {% sample lang="cs" %}
 [import:81-94, lang:"csharp"](code/csharp/Tree.cs)
 {% sample lang="c" %}
@@ -207,7 +207,7 @@ And this is exactly what Breadth-First Search (BFS) does! On top of that, it can
 {% sample lang="jl" %}
 [import:58-69, lang:"julia"](code/julia/Tree.jl)
 {% sample lang="cpp" %}
-[import:76-89, lang:"c_cpp"](code/c++/tree_example.cpp)
+[import:73-86, lang:"c_cpp"](code/c++/tree_example.cpp)
 {% sample lang="cs" %}
 [import:96-109, lang:"csharp"](code/csharp/Tree.cs)
 {% sample lang="c" %}