diff --git a/CHANGELOG.md b/CHANGELOG.md
index 29fc0fc639..4b25f89cd5 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,10 @@
 
 Reference: common-changelog.org
 
+## 1.1.6 - 2023-10-06
+
+- Use latest minor versions of Python packages in auto-cite script.
+
 ## 1.1.5 - 2023-05-19
 
 ### Changes
diff --git a/CITATION.cff b/CITATION.cff
index 6891d10b33..22d406cee3 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -1,8 +1,8 @@
 # citation metadata for the template itself
 
 title: "Lab Website Template"
-version: 1.1.5
-date-released: 2023-05-19
+version: 1.1.6
+date-released: 2023-10-06
 url: "https://github.com/greenelab/lab-website-template"
 authors:
   - family-names: "Rubinetti"
diff --git a/_cite/.cache/cache.db b/_cite/.cache/cache.db
index 8dbc68b0d0..4bbcc12b9f 100644
Binary files a/_cite/.cache/cache.db and b/_cite/.cache/cache.db differ
diff --git a/_cite/requirements.txt b/_cite/requirements.txt
index ce4f5d2822..9808e76307 100644
--- a/_cite/requirements.txt
+++ b/_cite/requirements.txt
@@ -1,6 +1,7 @@
-manubot==0.5.5
-PyYAML==6.0
-diskcache==5.4.0
-rich==12.6.0
-python-dotenv==0.21.0
-google-search-results==2.4.1
+manubot~=0.6
+PyYAML~=6.0
+diskcache~=5.6
+rich~=13.6
+python-dotenv~=0.21
+google-search-results~=2.4
+
diff --git a/_data/citations.yaml b/_data/citations.yaml
index 5e11a55c76..0cc985a539 100644
--- a/_data/citations.yaml
+++ b/_data/citations.yaml
@@ -42,6 +42,28 @@
   orcid: 0000-0002-4655-3773
   plugin: orcid.py
   file: orcid.yaml
+- id: doi:10.1093/gigascience/giad047
+  title: Hetnet connectivity search provides rapid insights into how biomedical entities
+    are related
+  authors:
+  - Daniel S Himmelstein
+  - Michael Zietz
+  - Vincent Rubinetti
+  - Kyle Kloster
+  - Benjamin J Heil
+  - Faisal Alquaddoomi
+  - Dongbo Hu
+  - David N Nicholson
+  - Yun Hao
+  - Blair D Sullivan
+  - Michael W Nagle
+  - Casey S Greene
+  publisher: GigaScience
+  date: '2022-12-28'
+  link: https://doi.org/gsd85n
+  orcid: 0000-0002-4655-3773
+  plugin: orcid.py
+  file: orcid.yaml
 - id: doi:10.1186/s13059-020-02021-3
   title: Compressing gene expression data using multiple latent space dimensionalities
     learns complementary biological representations