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| 1 | 1 |  | 
| 2 | 2 | 
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| 3 | 3 | [](https://badge.fury.io/py/pyproximal) | 
| 4 |  | -[](https://travis-ci.com/PyLops/pyproximal) | 
| 5 |  | -[](https://dev.azure.com/matteoravasi/PyLops/_build/latest?definitionId=10&branchName=refs%2Fpull%2F129%2Fmerge) | 
|  | 4 | +[](https://dev.azure.com/matteoravasi/PyLops/_build/latest?definitionId=10&branchName=refs%2Fpull%2F180%2Fmerge) | 
| 6 | 5 |  | 
| 7 | 6 | [](https://pyproximal.readthedocs.io/en/latest/?badge=latest) | 
| 8 | 7 | [](https://github.com/PyLops/pyproximal) | 
| 9 | 8 | [](https://pylops.slack.com) | 
| 10 |  | - | 
|  | 9 | +[](https://doi.org/10.21105/joss.06326) | 
| 11 | 10 | 
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| 12 | 11 | 
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| 13 | 12 | :vertical_traffic_light: :vertical_traffic_light: This library is under early development. | 
| @@ -184,9 +183,17 @@ make docupdate | 
| 184 | 183 | Note that if a new example or tutorial is created (and if any change is made to a previously available example or tutorial) | 
| 185 | 184 | you are required to rebuild the entire documentation before your changes will be visible. | 
| 186 | 185 | 
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|  | 186 | +## Citing | 
|  | 187 | +When using PyProximal in scientific publications, please cite the following paper: | 
|  | 188 | + | 
|  | 189 | +- Ravasi M, Örnhag M. V., Luiken N., Leblanc O. and Uruñuela E., 2024, *<b>PyProximal - scalable convex optimization in Python</b>*, | 
|  | 190 | +  Journal of Open Source Software, 9(95), 6326. doi: 10.21105/joss.06326 [(link)](https://joss.theoj.org/papers/10.21105/joss.06326) | 
|  | 191 | + | 
|  | 192 | +  | 
| 187 | 193 | 
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| 188 | 194 | ## Contributors | 
| 189 | 195 | * Matteo Ravasi, mrava87 | 
| 190 | 196 | * Nick Luiken, NickLuiken | 
| 191 | 197 | * Eneko Uruñuela, eurunuela | 
| 192 | 198 | * Marcus Valtonen Örnhag, marcusvaltonen | 
|  | 199 | +* Olivier Leblanc, olivierleblanc | 
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