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firedrakeproject · Aug 12, 2024 · b423cf1 · b423cf1
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diff --git a/checkpoint_schedules/mixed.py b/checkpoint_schedules/mixed.py
@@ -47,9 +47,9 @@ class MixedCheckpointSchedule(CheckpointSchedule):
     This is a offline checkpointing strategy, one adjoint calculation
     permitted.
 
-    [1] Maddison, J. R. (2023). On the implementation of checkpointing with
-    high-level algorithmic differentiation. arXiv preprint arXiv:2305.09568.
-    DOI: 10.48550/arXiv.2305.09568
+    [1] Maddison, J. R. (2024). Step-based checkpointing with high-level
+    algorithmic differentiation, Journal of Computational Science 82, 102405,
+    DOI: https://doi.org/10.1016/j.jocs.2024.102405
     """
 
     def __init__(self, max_n, snapshots, *, storage=StorageType.DISK):

diff --git a/docs/notebooks/tutorial.ipynb b/docs/notebooks/tutorial.ipynb
@@ -903,7 +903,7 @@
     "\n",
     "[5] Herrmann, J. and Pallez (Aupy), G. (2020). H-Revolve: a framework for adjoint computation on synchronous hierarchical platforms. ACM Transactions on Mathematical Software (TOMS), 46(2), 1-25. DOI: https://doi.org/10.1145/3378672.\n",
     "\n",
-    "[6] Maddison, J. R. (2023). On the implementation of checkpointing with high-level algorithmic differentiation. arXiv preprint arXiv:2305.09568. https://doi.org/10.48550/arXiv.2305.09568.\n",
+    "[6] Maddison, J. R. (2024). Step-based checkpointing with high-level algorithmic differentiation, Journal of Computational Science 82, 102405, DOI: https://doi.org/10.1016/j.jocs.2024.102405.\n",
     "\n",
     "[7] Pringle, G. C., Jones, D. C., Goswami, S., Narayanan, S. H. K., and  Goldberg, D. (2016). Providing the ARCHER community with adjoint modelling tools for high-performance oceanographic and cryospheric computation. https://nora.nerc.ac.uk/id/eprint/516314.\n",
     "\n",

diff --git a/docs/source/intro.rst b/docs/source/intro.rst
@@ -51,7 +51,7 @@ References
 
 [5] Herrmann, J. and Pallez (Aupy), G. (2020). H-Revolve: a framework for adjoint computation on synchronous hierarchical platforms. ACM Transactions on Mathematical Software (TOMS), 46(2), 1-25. DOI: 10.1145/3378672.
 
-[6] Maddison, J. R. (2023). On the implementation of checkpointing with high-level algorithmic differentiation. arXiv preprint arXiv:2305.09568. 10.48550/arXiv.2305.09568.
+[6] Maddison, J. R. (2024). Step-based checkpointing with high-level algorithmic differentiation, Journal of Computational Science 82, 102405, DOI: https://doi.org/10.1016/j.jocs.2024.102405.
 
 [7] Pringle, G. C., Jones, D. C., Goswami, S., Narayanan, S. H. K., and  Goldberg, D. (2016). Providing the ARCHER community with adjoint modelling tools for high-performance oceanographic and cryospheric computation. https://nora.nerc.ac.uk/id/eprint/516314.