Tootfinder

This https://arxiv.org/abs/2505.03768 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

From Concept to Measurement: A Survey of How the Blockchain Trilemma Can Be Analyzed
To meet non-functional requirements, practitioners must identify Pareto-optimal configurations of the degree of decentralization, scalability, and security of blockchain systems. Maximizing all of these subconcepts is, however, impossible due to the trade-offs highlighted by the blockchain trilemma. We reviewed analysis approaches to identify constructs and their operationalization through metrics for analyzing the blockchain trilemma subconcepts and to assess the applicability of the operation…

Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
Seymanur Akti, Tuan Nam Nguyen, Alexander Waibel
https://arxiv.org/abs/2506.04013

Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
Expressive voice conversion aims to transfer both speaker identity and expressive attributes from a target speech to a given source speech. In this work, we improve over a self-supervised, non-autoregressive framework with a conditional variational autoencoder, focusing on reducing source timbre leakage and improving linguistic-acoustic disentanglement for better style transfer. To minimize style leakage, we use multilingual discrete speech units for content representation and reinforce embeddi…

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Griffin Tabor, Tucker Hermans
https://arxiv.org/abs/2506.00589

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Many core problems in robotics can be framed as constrained optimization problems. Often on these problems, the robotic system has uncertainty, or it would be advantageous to identify multiple high quality feasible solutions. To enable this, we present two novel frameworks for applying principles of constrained optimization to the new variational inference algorithm Stein variational gradient descent. Our general framework supports multiple types of constrained optimizers and can handle arbitra…

This https://arxiv.org/abs/2310.14846 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Thin Gordian Unlinks
A gordian unlink is a finite number of unknots that are not topologically linked, each with prescribed length and thickness, and that cannot be disentangled into the trivial link by an isotopy preserving length and thickness throughout. In this note, we provide the first examples of gordian unlinks. As a consequence, we identify the existence of isotopy classes of unknots that differ from those in classical knot theory. More generally, we present a one-parameter family of gordian unlinks with…

This https://arxiv.org/abs/2506.03612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…

Connectivity-Preserving Minimum Separator in AT-free Graphs
Let $A$ and $B$ be disjoint, non-adjacent vertex-sets in an undirected, connected graph $G$, whose vertices are associated with positive weights. We address the problem of identifying a minimum-weight subset of vertices $S\subseteq V(G)$ that, when removed, disconnects $A$ from $B$ while preserving the internal connectivity of both $A$ and $B$. We call such a subset of vertices a connectivity-preserving, or safe minimum $A,B$-separator. Deciding whether a safe $A,B$-separator exists is NP-hard …

This https://arxiv.org/abs/2501.08783 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Form factors of light pseudoscalar mesons from the perturbative QCD approach
We study the electromagnetic and meson-photon transition form factors (TFF) of light pseudoscalar mesons from the perturbative QCD (pQCD) approach. To comprehensively account for both the longitudinal and transverse nonperturbative dynamics of hadronic constituents, we incorpoarate intrinsic transverse momentum distributions (iTMDs) alongside the conventional light-cone distribution amplitudes (LCDAs). The main motivations of this work are the disjointedness of electromagnetic form factors betw…

This https://arxiv.org/abs/2505.09400 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Structured coalescents, coagulation equations and multi-type branching processes
Consider a structured population consisting of $d$ colonies, with migration rates that are proportional to a positive parameter $K$. We sample $N_K$ individuals distributed evenly across the $d$ colonies and trace their ancestral lineages back. Within a colony, we assume that pairs of ancestral lineages coalesce at a constant rate, as in a Kingman's coalescent. We identify each ancestral lineage with the set, or block, of its descendants in the sample and we encode the state of the system using…

Hello, won't you tell me your name?: Investigating Anonymity Abuse in IPFS
Christos Karapapas, Iakovos Pittaras, George C. Polyzos, Constantinos Patsakis
https://arxiv.org/abs/2506.04307

Hello, won't you tell me your name?: Investigating Anonymity Abuse in IPFS
The InterPlanetary File System~(IPFS) offers a decentralized approach to file storage and sharing, promising resilience and efficiency while also realizing the Web3 paradigm. Simultaneously, the offered anonymity raises significant questions about potential misuse. In this study, we explore methods that malicious actors can exploit IPFS to upload and disseminate harmful content while remaining anonymous. We evaluate the role of pinning services and public gateways, identifying their capabilitie…

Multivariate Probabilistic Assessment of Speech Quality
Fredrik Cumlin, Xinyu Liang, Victor Ungureanu, Chandan K. A. Reddy, Christian Sch\"uldt, Saikat Chatterjee
https://arxiv.org/abs/2506.04890

Multivariate Probabilistic Assessment of Speech Quality
The mean opinion score (MOS) is a standard metric for assessing speech quality, but its singular focus fails to identify specific distortions when low scores are observed. The NISQA dataset addresses this limitation by providing ratings across four additional dimensions: noisiness, coloration, discontinuity, and loudness, alongside MOS. In this paper, we extend the explored univariate MOS estimation to a multivariate framework by modeling these dimensions jointly using a multivariate Gaussian d…

Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
Thomas Pethick, Wanyun Xie, Mete Erdogan, Kimon Antonakopoulos, Tony Silveti-Falls, Volkan Cevher
https://arxiv.org/abs/2506.01913

Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
This work introduces a hybrid non-Euclidean optimization method which generalizes gradient norm clipping by combining steepest descent and conditional gradient approaches. The method achieves the best of both worlds by establishing a descent property under a generalized notion of ($L_0$,$L_1$)-smoothness. Weight decay is incorporated in a principled manner by identifying a connection to the Frank-Wolfe short step. In the stochastic case, we show an order optimal $O(n^{-1/4})$ convergence rate b…