16:54:37 <br-m> <basses:matrix.org> ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures
16:54:37 <br-m> <basses:matrix.org> https://arxiv.org/abs/2511.16192
18:25:14 <br-m> <rucknium> Nothing groundbreaking in this paper IMHO. Bases its analysis on 19 transactions from 2017.
18:27:12 <br-m> <rucknium> Hits the same problem I have stated before: Machine learning with training sets works poorly on Monero because of the lack of valid training samples.
18:27:31 <br-m> <rucknium> > The most significant constraint lies in the very limited support of both the positive and negative classes, reflecting the scarcity of publicly available labeled Monero data.
18:27:51 <br-m> <rucknium> @ack-j:matrix.org may have thoughts too.
18:30:39 <br-m> <rucknium> The grant programs that funded the paper:
18:30:39 <br-m> <rucknium> https://cordis.europa.eu/project/id/101168562
18:30:39 <br-m> <rucknium> https://cordis.europa.eu/project/id/101121281
19:04:54 <br-m> <321bob321> Eu
19:07:53 <br-m> <321bob321> The funding participants looks dodgy
19:08:04 <br-m> <321bob321> Cyprus policeCyprusNet EU contribution€ 170 000,00
19:08:08 <br-m> <321bob321> Random