diff --git a/report/docs/report/final_report.html b/report/docs/report/final_report.html
index 62dfb8c..4f56f25 100644
--- a/report/docs/report/final_report.html
+++ b/report/docs/report/final_report.html
@@ -402,7 +402,7 @@ <h3 class="anchored" data-anchor-id="evaluation-results">Evaluation Results</h3>
 <span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>gt <span class="op">=</span> pd.read_csv(<span class="st">'../data/processed/ground_truth.csv'</span>)</span>
 <span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>gt</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </details>
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@@ -540,26 +540,26 @@ <h3 class="anchored" data-anchor-id="evaluation-results">Evaluation Results</h3>
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 <span id="cb2-53"><a href="#cb2-53" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </details>
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 <span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a>contingency_table.index.names <span class="op">=</span> [<span class="st">'Repository'</span>, <span class="st">'Checklist Item'</span>, <span class="st">'Ground Truth'</span>]</span>
 <span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a>contingency_table.sort_index(level<span class="op">=</span>[<span class="dv">0</span>, <span class="dv">2</span>])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </details>
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+<div class="cell-output cell-output-display" data-execution_count="8">
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@@ -816,26 +816,26 @@ <h3 class="anchored" data-anchor-id="evaluation-results">Evaluation Results</h3>
 <span id="cb4-42"><a href="#cb4-42" aria-hidden="true" tabindex="-1"></a>    title<span class="op">=</span><span class="st">"30 Runs on Openja's Repositories for each Checklist Item"</span></span>
 <span id="cb4-43"><a href="#cb4-43" aria-hidden="true" tabindex="-1"></a>) </span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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diff --git a/report/docs/robots.txt b/report/docs/robots.txt
new file mode 100644
index 0000000..183be83
--- /dev/null
+++ b/report/docs/robots.txt
@@ -0,0 +1 @@
+Sitemap: https://UBC-MDS.github.io/fixml/sitemap.xml
diff --git a/report/docs/sitemap.xml b/report/docs/sitemap.xml
new file mode 100644
index 0000000..9394dd7
--- /dev/null
+++ b/report/docs/sitemap.xml
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
+  <url>
+    <loc>https://UBC-MDS.github.io/fixml/report/proposal.html</loc>
+    <lastmod>2024-06-22T00:11:21.453Z</lastmod>
+  </url>
+  <url>
+    <loc>https://UBC-MDS.github.io/fixml/report/final_report.html</loc>
+    <lastmod>2024-06-22T00:11:20.477Z</lastmod>
+  </url>
+</urlset>
diff --git a/report/proposal.qmd b/report/proposal.qmd
index b3e1a6a..606dca1 100644
--- a/report/proposal.qmd
+++ b/report/proposal.qmd
@@ -36,7 +36,7 @@ We propose to develop testing suites diagnostic tools based on Large Language Mo
 
 Our solution offers an end-to-end application for evaluating and enhancing the robustness of users' ML systems.
 
-![Main components and workflow of the proposed system. The checklist would be written in [YAML](https://yaml.org/) to maximize readability for both humans and machines. We hope this will encourage researchers/users to read, understand and modify the checklist items, while keeping the checklist closely integrated with other components in our system.](img/proposed_system_overview.png)
+![Main components and workflow of the proposed system. The checklist would be written in [YAML](https://yaml.org/) to maximize readability for both humans and machines. We hope this will encourage researchers/users to read, understand and modify the checklist items, while keeping the checklist closely integrated with other components in our system.](../img/proposed_system_overview.png)
 
 One big challenge in utilizing LLMs to reliably and consistently evaluate ML systems is their tendency to generate illogical and/or factually wrong information known as hallucination [@zhang2023sirens].