📚 Add ConflictualLoss reference in documentation

docs/source/references.rst

@@ -243,6 +243,19 @@ For Laplace Approximation, consider citing:
 * Authors: *Erik Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, and Philipp Hennig*
 * Paper: `NeurIPS 2021 <https://arxiv.org/abs/2106.14806>`__.
 
+Losses
+------
+
+Conflictual Loss
+^^^^^^^^^^^^^^^^
+
+For the conflictual loss, consider citing:
+
+**On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss**
+
+* Authors: *Mohammed Fellaji, Frédéric Pennerath, Brieuc Conan-Guez, and Miguel Couceiro*
+* Paper: `ArXiv 2024 <https://arxiv.org/pdf/2407.12211`__.
+
 Metrics
 -------
 

torch_uncertainty/losses/classification.py

@@ -235,16 +235,16 @@ def __init__(
         reg_weight: float = 1,
         reduction: str | None = "mean",
     ) -> None:
-        """The Conflictual Loss.
+        r"""The Conflictual Loss.
 
         Args:
             reg_weight (float, optional): The weight of the regularization term.
             reduction (str, optional): specifies the reduction to apply to the
             output:``'none'`` | ``'mean'`` | ``'sum'``.
 
         Reference:
-            Mohammed Fellaji et al. On the Calibration of Epistemic Uncertainty:
-            Principles, Paradoxes and Conflictual Loss. https://arxiv.org/pdf/2407.12211
+            `Mohammed Fellaji et al. On the Calibration of Epistemic Uncertainty:
+            Principles, Paradoxes and Conflictual Loss <https://arxiv.org/pdf/2407.12211>`_.
         """
         super().__init__()
         if reduction is None: