Tootfinder

Tether CEO Paolo Ardoino says the company plans to expand its lending to commodities traders "dramatically" after extending ~$1.5B worth of credit to the sector (Bloomberg)
https://www.bloomberg.com/news/articles/2025-11…

Tether Plans ‘Dramatic’ Expansion in Commodity-Trade Lending
Stablecoin giant Tether Holdings SA plans to expand “dramatically” in lending to commodities traders after extending roughly $1.5 billion worth of credit to the sector, Chief Executive Officer Paolo Ardoino said.

This is so weird, I literally had to look this up.
✅ Emmys 2024: Why Is ‘The Bear’ Counted As A Comedy?
https://www.forbes.com/sites/tonifitzgerald/2024/09/15/emmys-2024-why-is-the-bear-counted-as-a-comedy/

Emmys 2024: Why Is ‘The Bear’ Counted As A Comedy?
The 2023 Emmy winner for Best Comedy is up for that category again at the 76th Primetime Emmy Awards. But why is a show with so many dramatic moments called a comedy?

Ranking NFL Offensive and Defensive Rookie of the Year candidates at midseason: Who makes top five? https://www.nfl.com/news/ranking-nfl-offensive-and-defensive-rookie-of-the-year-candidates-at-midseason-who-makes-top-five<…

A political candidate in the New York City suburbs went for a night swim in the Atlantic Ocean this past spring -- and never returned.
Petros Krommidas’s phone, keys and clothes were found on the sands at Long Beach on Long Island.
The 29-year-old former Ivy League rower, who was training for a triathlon, had parked his car just off the picturesque wooden boardwalk.
As the months passed, local Democrats attempted to field a replacement to run for the seat in the Nassau Coun…

Learning Human Motion with Temporally Conditional Mamba
Quang Nguyen, Tri Le, Baoru Huang, Minh Nhat Vu, Ngan Le, Thieu Vo, Anh Nguyen
https://arxiv.org/abs/2510.12573 https://

Learning Human Motion with Temporally Conditional Mamba
Learning human motion based on a time-dependent input signal presents a challenging yet impactful task with various applications. The goal of this task is to generate or estimate human movement that consistently reflects the temporal patterns of conditioning inputs. Existing methods typically rely on cross-attention mechanisms to fuse the condition with motion. However, this approach primarily captures global interactions and struggles to maintain step-by-step temporal alignment. To address thi…

SG-XDEAT: Sparsity-Guided Cross-Dimensional and Cross-Encoding Attention with Target-Aware Conditioning in Tabular Learning
Chih-Chuan Cheng, Yi-Ju Tseng
https://arxiv.org/abs/2510.12659

SG-XDEAT: Sparsity-Guided Cross-Dimensional and Cross-Encoding Attention with Target-Aware Conditioning in Tabular Learning
We propose SG-XDEAT (Sparsity-Guided Cross Dimensional and Cross-Encoding Attention with Target Aware Conditioning), a novel framework designed for supervised learning on tabular data. At its core, SG-XDEAT employs a dual-stream encoder that decomposes each input feature into two parallel representations: a raw value stream and a target-conditioned (label-aware) stream. These dual representations are then propagated through a hierarchical stack of attention-based modules. SG-XDEAT integrates th…

Why Ashton Jeanty Is a Bench Candidate for Fantasy Playoffs https://www.si.com/nfl/raiders/onsi/las-vegas-ashton-jeanty-bench-candidate-fantasy-playoffs

Decomposing Conditional Independence Ideals with Hidden Variables: A Matroid-Theoretic Approach
Emiliano Liwski
https://arxiv.org/abs/2510.12570 https://ar…

Decomposing Conditional Independence Ideals with Hidden Variables: A Matroid-Theoretic Approach
We study a class of determinantal ideals arising from conditional independence (CI) statements with hidden variables. Such CI statements translate into determinantal conditions on a matrix whose entries represent the probabilities of events involving the observed random variables. Our main objective is to determine the irreducible components of the corresponding varieties and to provide a combinatorial or geometric interpretation of each. We achieve this by introducing a new approach rooted in …

On weak convergence of Gaussian conditional distributions
Sarah Lumpp, Mathias Drton
https://arxiv.org/abs/2510.12412 https://arxiv.org/pdf/2510.12412

On weak convergence of Gaussian conditional distributions
Weak convergence of joint distributions generally does not imply convergence of conditional distributions. In particular, conditional distributions need not converge when joint Gaussian distributions converge to a singular Gaussian limit. Algebraically, this is due to the fact that at singular covariance matrices, Schur complements are not continuous functions of the matrix entries. Our results lay out special conditions under which convergence of Gaussian conditional distributions nevertheless…

Jesse Minter, Mike McCarthy, Joe Brady top 2026 NFL head coach candidates list https://www.nytimes.com/athletic/6713844/2025/10/15/nfl-head-coach-candidates-titans-2026/