diff --git a/.Rbuildignore b/.Rbuildignore
index 66619602..965215f4 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -14,7 +14,6 @@
 ^index\.Rmd
 ^index\.md
 ^base_gam.txt
-^Meta$
 ^CRAN-SUBMISSION$
 ^cran-comments\.md$
 ^tests/mvgam_examples\.R$
diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION
index e0221e3a..7583498a 100644
--- a/CRAN-SUBMISSION
+++ b/CRAN-SUBMISSION
@@ -1,3 +1,3 @@
 Version: 1.1.0
-Date: 2024-04-18 11:49:01 UTC
-SHA: 4461908438f37d7063d0ab9111863db7fe81215a
+Date: 2024-04-18 21:51:10 UTC
+SHA: 1a2b0b47e6b422eb0fa9c29ef201af186602c2dc
diff --git a/vignettes/shared_states.Rmd b/vignettes/shared_states.Rmd
index e0f36689..fcdb58be 100644
--- a/vignettes/shared_states.Rmd
+++ b/vignettes/shared_states.Rmd
@@ -336,7 +336,7 @@ points(true_signal, pch = 16, cex = 0.8)
 ## Further reading
 The following papers and resources offer a lot of useful material about other types of State-Space models and how they can be applied in practice:
   
-Holmes, Elizabeth E., Eric J. Ward, and Wills Kellie. "[MARSS: multivariate autoregressive state-space models for analyzing time-series data.](https://d1wqtxts1xzle7.cloudfront.net/30588864/rjournal_2012-1_holmes_et_al-libre.pdf?1391843792=&response-content-disposition=inline%3B+filename%3DMARSS_Multivariate_Autoregressive_State.pdf&Expires=1695861526&Signature=TCRXULs0mUKRM4m1pmvZxwE10bUqS6vzLcuKeUBCj57YIjx23iTxS1fEgBpV0fs2wb5XAw7ZkG84XyMaoS~vjiqZ-DpheQDHwAHpIWG-TcckHQjEjPWTNajFvAemToUdCiHnDa~yrhW9HRgXjgncdalkjzjvjT3HLSW8mcjBDhQN-WJ3MKQFSXtxoBpWfcuPYbf-HC1E1oSl7957y~w0I1gcIVdu6LHjP~CEKXa0BQzS4xuarL2nz~tHD2MverbNJYMrDGrAxIi-MX6i~lfHWuwV6UKRdoOZ0pXIcMYWBTv9V5xYey76aMKTICiJ~0NqXLZdXO5qlS4~~2nFEO7b7w__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)" *R Journal*. 4.1 (2012): 11.
+Holmes, Elizabeth E., Eric J. Ward, and Wills Kellie. "[MARSS: multivariate autoregressive state-space models for analyzing time-series data.](https://journal.r-project.org/archive/2012/RJ-2012-002/index.html)" *R Journal*. 4.1 (2012): 11.
   
 Ward, Eric J., et al. "[Inferring spatial structure from time‐series data: using multivariate state‐space models to detect metapopulation structure of California sea lions in the Gulf of California, Mexico.](https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/j.1365-2664.2009.01745.x)" *Journal of Applied Ecology* 47.1 (2010): 47-56.
   
diff --git a/vignettes/trend_formulas.Rmd b/vignettes/trend_formulas.Rmd
index e65a4ce7..0d95ab8a 100644
--- a/vignettes/trend_formulas.Rmd
+++ b/vignettes/trend_formulas.Rmd
@@ -551,7 +551,7 @@ Heaps, Sarah E. "[Enforcing stationarity through the prior in vector autoregress
   
 Hannaford, Naomi E., et al. "[A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant.](https://www.sciencedirect.com/science/article/pii/S0167947322002390)" *Computational Statistics & Data Analysis* 179 (2023): 107659.
   
-Holmes, Elizabeth E., Eric J. Ward, and Wills Kellie. "[MARSS: multivariate autoregressive state-space models for analyzing time-series data.](https://d1wqtxts1xzle7.cloudfront.net/30588864/rjournal_2012-1_holmes_et_al-libre.pdf?1391843792=&response-content-disposition=inline%3B+filename%3DMARSS_Multivariate_Autoregressive_State.pdf&Expires=1695861526&Signature=TCRXULs0mUKRM4m1pmvZxwE10bUqS6vzLcuKeUBCj57YIjx23iTxS1fEgBpV0fs2wb5XAw7ZkG84XyMaoS~vjiqZ-DpheQDHwAHpIWG-TcckHQjEjPWTNajFvAemToUdCiHnDa~yrhW9HRgXjgncdalkjzjvjT3HLSW8mcjBDhQN-WJ3MKQFSXtxoBpWfcuPYbf-HC1E1oSl7957y~w0I1gcIVdu6LHjP~CEKXa0BQzS4xuarL2nz~tHD2MverbNJYMrDGrAxIi-MX6i~lfHWuwV6UKRdoOZ0pXIcMYWBTv9V5xYey76aMKTICiJ~0NqXLZdXO5qlS4~~2nFEO7b7w__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)" *R Journal*. 4.1 (2012): 11.
+Holmes, Elizabeth E., Eric J. Ward, and Wills Kellie. "[MARSS: multivariate autoregressive state-space models for analyzing time-series data.](https://journal.r-project.org/archive/2012/RJ-2012-002/index.html)" *R Journal*. 4.1 (2012): 11.
   
 Ward, Eric J., et al. "[Inferring spatial structure from time‐series data: using multivariate state‐space models to detect metapopulation structure of California sea lions in the Gulf of California, Mexico.](https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/j.1365-2664.2009.01745.x)" *Journal of Applied Ecology* 47.1 (2010): 47-56.