From 19bd0fc727dbf0a314b1a9ebba179088a77d4f5f Mon Sep 17 00:00:00 2001
From: Yuta Nagano <52748151+yutanagano@users.noreply.github.com>
Date: Tue, 11 Jun 2024 21:11:26 +0100
Subject: [PATCH] Fix bug in docs landing page figure legend text

---
 docs/index.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/index.rst b/docs/index.rst
index ca2f541..0f70492 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -18,7 +18,7 @@ What's even better is that they are fully compliant with `pyrepseq <https://pyre
    A visual introduction to how SCEPTR works, taken from our SCEPTR preprint.
    SCEPTR is a TCR language model (a,b) pre-trained using masked-language modelling and autocontrastive learning (c,d).
    (a) The default model uses the ``<cls>`` pooling method, but there is also a variant that is trained to use average-pooling (see :py:func:`sceptr.variant.average_pooling`).
-   Please see the `preprint <https://arxiv.org/abs/2406.06397>`_  for more details.
+   Please see the preprint for more details.
 
 .. toctree::
    :maxdepth: 2