--- a/README.md	Mon May 06 20:03:44 2024 -0500
+++ b/README.md	Mon May 06 20:04:17 2024 -0500
@@ -1,7 +1,7 @@
 
 # Predictive online optimisation codes for dynamic inverse imaging problems
 
-These codes implement the experiments for the 2024 manuscript _“[Prediction techniques for dynamic imaging with online primal-dual methods](https://arxiv.org/abs/2405.02497)”_ by Neil Dizon, Jyrki Jauhiainen, and Tuomo Valkonen. It is built on top of, and includes the experiments for the 2019 article _“[Predictive online optimisation with applications to optical flow](https://arxiv.org/abs/2002.03053)”_ by [Tuomo Valkonen](https://tuomov.iki.fi).
+These codes implement the experiments for the 2024 manuscript _“[Prediction techniques for dynamic imaging with online primal-dual methods](https://arxiv.org/abs/2405.02497)”_ by Neil Dizon, Jyrki Jauhiainen, and Tuomo Valkonen. It is built on top of, and includes the experiments for the 2020 article _“[Predictive online optimisation with applications to optical flow](https://arxiv.org/abs/2002.03053)”_ by [Tuomo Valkonen](https://tuomov.iki.fi).
 
 ## Prerequisites
 
@@ -27,7 +27,7 @@
 
 To run the data generation multi-threadeadly parallel to the algorithm, set the `JULIA_NUM_THREADS` environment variable to a number larger than one.
 
-### Experiments for 2019 article
+### Experiments for 2020 article
 
 To generate all the experiments for _“Predictive online optimisation with applications to optical flow”_, run: