fixup!

_i18n/en.yml

@@ -854,7 +854,7 @@ research-lab:
   intro_contact: "To contact the Monero Research Lab, please join to our <a href='https://matrix.to/#/#monero-research-lab:monero.social'>Matrix</a>/<a href='irc://irc.libera.chat/#monero-research-lab'>IRC channel</a>"
   mrl_papers: Papers Published By MRL
   related_mrl_papers: Papers Related to Monero
-  papersbutton: Explore the Collection
+  papersbutton: Visit MoneroResearch.info
   papersp: Explore a broad range of research papers related to Monero.
   abstract: Abstract
   introduction: Introduction
@@ -889,6 +889,8 @@ research-lab:
   iacr2020312: "Arcturus: efficient proofs for confidential transactions"
   iacr2020312_note: "NOTE: this paper has been retracted, but it's possible to view it clicking on 'All versions of this report'."
   iacr2020312_abstract: Confidential transactions are used in distributed digital assets to demonstrate the balance of values hidden in commitments, while retaining signer ambiguity. Previous work describes a signer-ambiguous proof of knowledge of the opening of commitments to zero at the same index across multiple public commitment sets and the evaluation of a verifiable random function used as a linking tag, and uses this to build a linkable ring signature called Triptych that can be used as a building block for a confidential transaction model. In this work, we extend Triptych to build Arcturus, a proving system that proves knowledge of openings of multiple commitments to zero within a single set, correct construction of a verifiable random function evaluated at each opening, and value balance across a separate list of commitments within a single proof. While soundness depends on a novel dual discrete-logarithm hardness assumption, we use data from the Monero blockchain to show that Arcturus can be used in a confidential transaction model to provide faster total batch verification time than other state-of-the-art constructions without a trusted setup.
+  cypherstack202410: Uniformly Most Powerful Tests For Ad Hoc Transactions In Monero
+  cypherstack202410_abstract: We introduce a general, low-cost, low-power statistical test for transactions in transaction protocols with small anonymity set authentication (TPSASAs), such as Monero. The test classifies transactions as ad hoc (spon- taneously constructed to spend a deterministically selected key) or self-churned (constructed from a probability distribution very close to that of the default wallet software, and with the same sender and receiver). The test is a uniformly most powerful (UMP) likelihood ratio tests (LRT) from the Neyman-Pearson Lemma, and makes no assumptions about user behavior. We extend these tests to expoit prior information about user behavior. We discuss test param- eterization, as well as how anonymity set cardinality and user behavior impact test performance. We also describe a maximum-likelihood de-anonymization attack on Monero based on our test.
   cryptonote: Cryptonote Whitepapers
   cryptonote-whitepaper: Cryptonote Whitepaper
   cryptonote-whitepaper_para: This is the original cryptonote paper written by the cryptonote team. Reading it will give an understanding about how the cryptonote algorithm works in general.

resources/research-lab/index.md

@@ -30,6 +30,16 @@ meta_descr: meta_descr.mrl
                     <div class="col"><h2>{% t research-lab.mrl_papers %}</h2></div>
                 </div>
                 <div class="tab">
+                <div class="tab">
+                    <input id="" type="checkbox" name="tabs" class="accordion">
+                    <label for="" class="accordion">{% t research-lab.cypherstack202410 %}</label>
+                    <div class="tab-content">
+                        <p><strong>{% t research-lab.abstract %}:</strong> {% t research-lab.cypherstack202410 _abstract %}</p>
+                        <div class="center-xs">
+                            <p><a class="btn-link btn-auto btn-primary" target="_blank" rel="noreferrer noopener" href="https://github.com/cypherstack/churn/releases/download/final/Churn-final.pdf">{% t research-lab.read-paper %}</a></p>
+                        </div>
+                    </div>
+                </div>
                     <input id="tab-2020312" type="checkbox" name="tabs" class="accordion">
                     <label for="tab-2020312" class="accordion">IACR 2020/312: {% t research-lab.iacr2020312 %}</label>
                     <div class="tab-content">