Tootfinder

DocuSign reports Q1 revenue up 8% YoY to $764M, subscription revenue up 8% to $746.2M, net income up 113% to $72.1M, and cuts FY 2026 forecast; DOCU falls 18% (Annie Palmer/CNBC)
https://www.cnbc.com/2025/06/06/docusign-stock-billings-earnings.html

DocuSign stock tanks 18% after company cuts billings outlook
The downbeat forecast overshadowed the company's better-than-expected earnings and revenue results.

Maryland DOT launches new policy of quick-fix road diets with paint & plastic "bollards" after initial test projects work well. Approach is try it for 6-9 months and see if it works in place of long studies.
https://www.

Maryland plans more ‘quick build’ road safety changes, citing success across state
Planners have a menu of traffic calming measures to consider for each site.

This https://arxiv.org/abs/2401.04003 has been replaced.
link: https://scholar.google.com/scholar?q=a

Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications
Research in robotic planning with temporal logic specifications, such as Linear Temporal Logic (LTL), has relied on single formulas. However, as task complexity increases, LTL formulas become lengthy, making them difficult to interpret and generate, and straining the computational capacities of planners. To address this, we introduce a hierarchical structure for a widely used specification type -- LTL on finite traces (LTL$_f$). The resulting language, termed H-LTL$_f$, is defined with both its…

This https://arxiv.org/abs/2406.02792 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Weak Degeneracy of Planar Graphs
The weak degeneracy of a graph $G$ is a numerical parameter that was recently introduced by the first two authors with the aim of understanding the power of greedy algorithms for graph coloring. Every $d$-degenerate graph is weakly $d$-degenerate, but the converse is not true in general (for example, all connected $d$-regular graphs except cycles and cliques are weakly $(d-1)$-degenerate). If $G$ is weakly $d$-degenerate, then the list-chromatic number of $G$ is at most $d+1$, and the same uppe…

X names Polymarket as its official prediction market partner, with plans to combine Polymarket predictions with X data to deliver live insights (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/06/06/x-names-polymarket-as-its-offi…

X names Polymarket as its official prediction market partner | TechCrunch
X announced on Friday that it has partnered with Polymarket, naming it the platform’s official prediction market partner.

This https://arxiv.org/abs/2405.10723 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
Modern diffusion MRI sequences commonly acquire a large number of volumes with diffusion sensitization gradients of differing strengths or directions. Such sequences rely on echo-planar imaging (EPI) to achieve reasonable scan duration. However, EPI is vulnerable to off-resonance effects, leading to tissue susceptibility and eddy-current induced distortions. The latter is particularly problematic because it causes misalignment between volumes, disrupting downstream modelling and analysis. The e…

This https://arxiv.org/abs/2412.12186 has been replaced.
initial toot: https://mastoxiv.page/@…

Emergent electrostatics in planar XY spin models: the bridge connecting topological order with broken $U(1)$ symmetry
Topological phases have been a central focus of condensed-matter physics for over 50 years. Along with many experimental applications, they have provided much intellectual interest due to their characterization via some form of topological ordering, as opposed to the symmetry-breaking ordering of conventional continuous phase transitions. This distinction is most subtle in the case of the Berezinskii-Kosterlitz-Thouless (BKT) transition as its experimental realizations appear to break U(1) symm…

Nonlinear elastodynamic material identification of heterogeneous isogeometric Bernoulli-Euler beams
Bart{\l}omiej {\L}azorczyk, Roger A. Sauer
https://arxiv.org/abs/2506.04960

Nonlinear elastodynamic material identification of heterogeneous isogeometric Bernoulli-Euler beams
This paper presents a Finite Element Model Updating framework for identifying heterogeneous material distributions in planar Bernoulli-Euler beams based on a rotation-free isogeometric formulation. The procedure follows two steps: First, the elastic properties are identified from quasi-static displacements; then, the density is determined from modal data (low frequencies and mode shapes), given the previously obtained elastic properties. The identification relies on three independent discretiza…

A large, chemically enriched, neutral gas reservoir in a galaxy at z = 6.782
A. Saccardi, S. D. Vergani, L. Izzo, V. D'Elia, K. E. Heintz, A. De Cia, D. B. Malesani, J. T. Palmerio, P. Petitjean, S. Savaglio, N. R. Tanvir, R. Salvaterra, R. Brivio, S. Campana, L. Christensen, S. Covino, J. P. U. Fynbo, D. H. Hartmann, C. Konstantopoulou, A. J. Levan, A. Martin-Carrillo, A. Melandri, L. Piro, G. Pugliese, P. Schady, B. Schneider

A large, chemically enriched, neutral gas reservoir in a galaxy at z = 6.782
The chemical characterization of galaxies in the first billion years after the Big Bang is one of the central goals of current astrophysics. Optical/near-infrared spectroscopy of long gamma-ray bursts (GRBs) have been heralded as an effective diagnostic to probe the interstellar medium of their host galaxies and their metal and dust content, up to the highest redshift. An opportunity to fulfill this expectation was provided by the recent blast triggered by the Neil Gehrels Swift Observatory of …

Amazon is creating an AI team within its Lab126 hardware R&D unit that will help develop an agentic AI framework for use in its robotics operations (Annie Palmer/CNBC)
https://www.cnbc.com/2025/06/04/amazons-rd-lab-forms-new-agentic-ai-group.html…

Amazon's R&D lab forms new agentic AI group
The new group will help develop an agentic AI "framework" for use in its robotics operations, an application often referred to as "physical AI."