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Cowboys Rookie RB Gets Strong Words of Support After Miles Sanders Injury https://heavy.com/sports/nfl/dallas-cowboys/jayden-blue-miles-sanders-injury-stephen-jones/?adt_ei=[email]

Trump is set to remove Erik Siebert, the U.S. attorney for the Eastern District of Virginia,
for being faithful to facts, evidence, and guidelines governing good prosecutorial conduct, rather than fully corrupting his office to target Trump’s enemies.
That’s not a rhetorical cheap shot. It’s what Trump is actually doing, per ABC:
"President Donald Trump is expected to fire the U.S. attorney for the Eastern District of Virginia after his office was unable to find incrimin…

Trump Firing Top Prosecutor for Failing to Invent Fake Crimes by Foes
A U.S. attorney in Virginia is finding no evidence that Letitia James broke the law. In America, that’s justice. In Trumpworld, it’s a firing offense.

Stability of digital and analog quantum simulations under noise
Jayant Rao, Jens Eisert, Tommaso Guaita
https://arxiv.org/abs/2510.08467 https://arxiv.org/…

Stability of digital and analog quantum simulations under noise
Quantum simulation is a central application of near-term quantum devices, pursued in both analog and digital architectures. A key challenge for both paradigms is the effect of imperfections and noise on predictive power. In this work, we present a rigorous and physically transparent comparison of the stability of digital and analog quantum simulators under a variety of perturbative noise models. We provide rigorous worst- and average-case error bounds for noisy quantum simulation of local obser…

Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM
Yanwei Du, Jing-Chen Peng, Patricio A. Vela
https://arxiv.org/abs/2509.22910 https:…

Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM
Given that Visual SLAM relies on appearance cues for localization and scene understanding, texture-less or visually degraded environments (e.g., plain walls or low lighting) lead to poor pose estimation and track loss. However, robots are typically equipped with sensors that provide some form of dead reckoning odometry with reasonable short-time performance but unreliable long-time performance. The Good Weights (GW) algorithm described here provides a framework to adaptively integrate dead reck…

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
Zehua Zhang, Ati Priya Bajaj, Divij Handa, Siyu Liu, Arvind S Raj, Hongkai Chen, Hulin Wang, Yibo Liu, Zion Leonahenahe Basque, Souradip Nath, Vishal Juneja, Nikhil Chapre, Yan Shoshitaishvili, Adam Doup\'e, Chitta Baral, Ruoyu Wang
https://arxiv.org/abs/2…

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
Automatically compiling open-source software (OSS) projects is a vital, labor-intensive, and complex task, which makes it a good challenge for LLM Agents. Existing methods rely on manually curated rules and workflows, which cannot adapt to OSS that requires customized configuration or environment setup. Recent attempts using Large Language Models (LLMs) used selective evaluation on a subset of highly rated OSS, a practice that underestimates the realistic challenges of OSS compilation. In pract…

PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings
Suhang You, Carla Pitarch-Abaigar, Sanket Kachole, Sumedh Sonawane, Juhyung Ha, Anish Sudarshan Gada, David Crandall, Rakesh Shiradkar, Spyridon Bakas
https://arxiv.org/abs/2509.14051

PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings
Almost 30% of prostate cancer (PCa) patients undergoing radical prostatectomy (RP) experience biochemical recurrence (BCR), characterized by increased prostate specific antigen (PSA) and associated with increased mortality. Accurate early prediction of BCR, at the time of RP, would contribute to prompt adaptive clinical decision-making and improved patient outcomes. In this work, we propose prostate cancer BCR prediction via fused multi-modal embeddings (PROFUSEme), which learns cross-modal int…

The Digital Landscape of God: Narrative, Visuals and Viewer Engagement of Religious Videos on YouTube
Rongyi Chen, Ziyan Xin, Qing Xiao, Ruiwei Xiao, Jingjia Xiao, Bingbing Zhang, Hong Shen, Zhicong Lu
https://arxiv.org/abs/2509.10957

The Digital Landscape of God: Narrative, Visuals and Viewer Engagement of Religious Videos on YouTube
The digital transformation of religious practice has reshaped how billions of people engage with spiritual content, with video-sharing platforms becoming central to contemporary religious communication. Yet HCI research lacks systematic understanding of how narrative and visual elements create meaningful spiritual experiences and foster viewer engagement. We present a mixed-methods study of religious videos on YouTube across major religions, developing taxonomies of narrative frameworks, visual…

🇺🇦 #NowPlaying on BBCRadio3's #ChoralEvensong
Malcolm Boyle, Philip White-Jones, Lancing College Choir & Alexander Mason:
🎵 Thou O God art praised in Sion
#MalcolmBoyle #PhilipWhiteJones #LancingCollegeChoir #AlexanderMason
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