diff --git a/.codespellignore b/.codespellignore
index 05536e8dbc3..a963548b1d0 100644
--- a/.codespellignore
+++ b/.codespellignore
@@ -8,3 +8,4 @@ fpr
 falsy
 assertIn
 nD
+Calle
diff --git a/paper/paper.bib b/paper/paper.bib
index aa5a5e6eb13..9c11618ed2e 100644
--- a/paper/paper.bib
+++ b/paper/paper.bib
@@ -57,3 +57,84 @@ @inproceedings{kazil2020
   year={2020},
   organization={Springer}
 }
+
+@inproceedings{wang2022mesa,
+  title={Mesa-Geo: A GIS extension for the Mesa agent-based modeling framework in python},
+  author={Wang, Boyu and Hess, Vincent and Crooks, Andrew},
+  booktitle={Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation},
+  pages={1--10},
+  year={2022}
+}
+
+# Used Mesa (cited 2015 paper)
+@article{namany2020sustainable,
+  title={Sustainable food security decision-making: an agent-based modelling approach.},
+  author={Namany, Sarah and Govindan, Rajesh and Alfagih, Luluwah and McKay, Gordon and Al-Ansari, Tareq},
+  journal={Journal of Cleaner Production},
+  volume={255},
+  pages={120296},
+  year={2020},
+  publisher={Elsevier}
+}
+
+@article{sun2020post,
+  title={A post-disaster resource allocation framework for improving resilience of interdependent infrastructure networks},
+  author={Sun, Jingran and Zhang, Zhanmin},
+  journal={Transportation Research Part D: Transport and Environment},
+  volume={85},
+  pages={102455},
+  year={2020},
+  publisher={Elsevier}
+}
+
+@article{nageli2020towards,
+  title={Towards agent-based building stock modeling: Bottom-up modeling of long-term stock dynamics affecting the energy and climate impact of building stocks},
+  author={N{\"a}geli, Claudio and Jakob, Martin and Catenazzi, Giacomo and Ostermeyer, York},
+  journal={Energy and Buildings},
+  volume={211},
+  pages={109763},
+  year={2020},
+  publisher={Elsevier}
+}
+
+@article{anatolitis2017putting,
+  title={Putting renewable energy auctions into action--An agent-based model of onshore wind power auctions in Germany},
+  author={Anatolitis, Vasilios and Welisch, Marijke},
+  journal={Energy Policy},
+  volume={110},
+  pages={394--402},
+  year={2017},
+  publisher={Elsevier}
+}
+
+# Used Mesa (cited 2020 paper)
+@article{leon2022multi,
+  title={A multi-agent approach to the truck multi-drone routing problem},
+  author={Leon-Blanco, Jose Miguel and Gonzalez-R, Pedro L and Andrade-Pineda, Jose L and Canca, David and Calle, Marcos},
+  journal={Expert Systems with Applications},
+  volume={195},
+  pages={116604},
+  year={2022},
+  publisher={Elsevier}
+}
+
+@article{ghanem2022balancing,
+  title={Balancing consumer and business value of recommender systems: A simulation-based analysis},
+  author={Ghanem, Nada and Leitner, Stephan and Jannach, Dietmar},
+  journal={Electronic Commerce Research and Applications},
+  volume={55},
+  pages={101195},
+  year={2022},
+  publisher={Elsevier}
+}
+
+@article{taberna2023uncertainty,
+  title={Uncertainty in boundedly rational household adaptation to environmental shocks},
+  author={Taberna, Alessandro and Filatova, Tatiana and Hadjimichael, Antonia and Noll, Brayton},
+  journal={Proceedings of the National Academy of Sciences},
+  volume={120},
+  number={44},
+  pages={e2215675120},
+  year={2023},
+  publisher={National Acad Sciences}
+}
diff --git a/paper/paper.md b/paper/paper.md
index a7683e7533f..80c967050ca 100644
--- a/paper/paper.md
+++ b/paper/paper.md
@@ -213,12 +213,17 @@ results = mesa.batch_run(
 ```
 
 # Applications
-Mesa has been applied across diverse domains including:
-- Epidemiology and public health modeling
-- Economic and market simulations
-- Social network analysis
-- Urban planning and transportation
-- Ecological modeling
+Mesa has been applied across diverse domains, including:
+
+- Sustainability and food security modeling, including supply chain optimization and resource allocation [@namany2020sustainable]
+- Infrastructure resilience and post-disaster recovery planning [@sun2020post]
+- Building stock modeling for energy demand and emissions analysis [@nageli2020towards]
+- Market modeling, including renewable energy auctions and consumer behavior [@anatolitis2017putting]
+- Transportation optimization, such as combined truck-drone delivery routing [@leon2022multi]
+- Recommender systems analysis examining consumer-business value tradeoffs over time [@ghanem2022balancing]
+- Climate adaptation modeling examining household-level behavioral responses to environmental shocks [@taberna2023uncertainty]
+
+These applications showcase Mesa's versatility in modeling complex systems with autonomous interacting agents, whether representing individual consumers, infrastructure components, buildings, or vehicles.
 
 The framework is particularly suited for:
 - Models with heterogeneous agent populations
@@ -228,7 +233,7 @@ The framework is particularly suited for:
 
 # Community and ecosystem
 Mesa has grown into a complete ecosystem with extensions including:
-- [Mesa-Geo](https://github.com/projectmesa/mesa-geo) for geospatial modeling
+- [Mesa-Geo](https://github.com/projectmesa/mesa-geo) for geospatial modeling [wang2022mesa]
 - [Mesa-Frames](https://github.com/projectmesa/mesa-frames) for high-performance simulations
 - A rich collection of community-contributed extensions, example models, and tutorials