Tootfinder

A look at CBS News in the first weeks of Bari Weiss as EIC: weak 60 Minutes ratings, union members' concerns, outreach for potential new anchors, and more (Brian Steinberg/Variety)
https://variety.com/2025/tv/news/bari-weiss-early-cbs-n…

Bari Weiss' Early Weeks at CBS News: '60 Minutes' Miss, Talent Hunt
Bari Weiss has been active in her early weeks at CBS News, but it's not clear her proclivity for snaring newsmakers will translate into revenue

Q&A: Stephanie Ruhle, Katy Tur, Ali Velshi, and Brandy Zadrozny talk about MSNBC's rebrand to MS NOW, extending their work to platforms like YouTube, and more (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

How a Cable News Channel Starts Over: A Candid Chat With MS NOW’s Anchors
Stephanie Ruhle, Ali Velshi, Katy Tur and Brandy Zadrozny sit with The Hollywood Reporter for a discussion about the changes coming to the channel formerly known as MSNBC.

It is now less than than 12 months to the midterm elections.
And the D-party is about as ready and organized as a bag of live worms.
The R-party is ready with massive tools to exclude voters; block, disrupt and manipulate the vote counts; and otherwise assure that the election comes out their way.
But the D's still hang onto leaders and issues (I'm lookin' at you "identity politics") that are like boat anchors on a parachute.
I am old, but I firm…

Bondi: I'll Investigate "Lawmakers And News Anchors" To See If They "Encouraged Acts Of Violence" [VIDEO] - Joe.My.God.
https://www.joemygod.com/2025/11/bondi-ill-investigate-lawmakers-and-news-anchors-to-see-if-they-encouraged-acts-of-violence-video/

Damaged Russian ‘shadow fleet’ tanker Kairos anchors off Bulgaria after Turkish tug abandons tow: https://benborges.xyz/2025/12/06/damaged-russian-shadow-fleet-tanker.html

Anchoring the Universe with Characteristic Redshifts using Raychaudhuri Equation Informed Reconstruction Algorithm (REIRA)
Shibendu Gupta Choudhury, Purba Mukherjee, Anjan Ananda Sen
https://arxiv.org/abs/2510.09602

Anchoring the Universe with Characteristic Redshifts using Raychaudhuri Equation Informed Reconstruction Algorithm (REIRA)
We study the robustness and physical implications of a set of characteristic redshifts that capture key features of the late-time Universe. Using both model-independent reconstructions as well as different dark energy (DE) parameterizations, we show that these redshifts remain stable across cosmological models and reconstruction algorithm, making them reliable geometric anchors of the expansion history. Moreover, the Alcock-Paczyński corrections at these redshift anchors are found to be unity …

RIS- and Multi-Snapshot-Enabled SISO 3D Position and Velocity Estimation With Single Base Station
Yirun Wang, Yongqing Wang, Yuyao Shen, Gongpu Wang, Chintha Tellambura
https://arxiv.org/abs/2509.23274

RIS- and Multi-Snapshot-Enabled SISO 3D Position and Velocity Estimation With Single Base Station
Reconfigurable intelligent surface (RIS) panels can act as cost-effective anchors for radio localization, complementing conventional base station (BS) anchors. This paper investigates joint three-dimensional position and velocity estimation (3D-JPVE) in single-input single-output (SISO) systems with only one BS available. We first theoretically show that 3D-JPVE is infeasible when relying solely on a single RIS or on multiple snapshots alone. To address this, we propose combining RIS deployment…

Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
Joachim Diederich
https://arxiv.org/abs/2510.05106 https://arxiv.o…

Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
The design of safety-critical agents based on large language models (LLMs) requires more than simple prompt engineering. This paper presents a comprehensive information-theoretic analysis of how rule encodings in system prompts influence attention mechanisms and compliance behaviour. We demonstrate that rule formats with low syntactic entropy and highly concentrated anchors reduce attention entropy and improve pointer fidelity, but reveal a fundamental trade-off between anchor redundancy and at…

Coordinate-Consistent Localization via Continuous-Time Calibration and Fusion of UWB and SLAM Observations
Tien-Dat Nguyen, Thien-Minh Nguyen, Vinh-Hao Nguyen
https://arxiv.org/abs/2510.05992

Coordinate-Consistent Localization via Continuous-Time Calibration and Fusion of UWB and SLAM Observations
Onboard simultaneous localization and mapping (SLAM) methods are commonly used to provide accurate localization information for autonomous robots. However, the coordinate origin of SLAM estimate often resets for each run. On the other hand, UWB-based localization with fixed anchors can ensure a consistent coordinate reference across sessions; however, it requires an accurate assignment of the anchor nodes' coordinates. To this end, we propose a two-stage approach that calibrates and fuses UWB d…

Moody Urbanity - Up 😶‍🌫️
情绪化城市 - 上面 😶‍🌫️
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

GaussianMorphing: Mesh-Guided 3D Gaussians for Semantic-Aware Object Morphing
Mengtian Li, Yunshu Bai, Yimin Chu, Yijun Shen, Zhongmei Li, Weifeng Ge, Zhifeng Xie, Chaofeng Chen
https://arxiv.org/abs/2510.02034

GaussianMorphing: Mesh-Guided 3D Gaussians for Semantic-Aware Object Morphing
We introduce GaussianMorphing, a novel framework for semantic-aware 3D shape and texture morphing from multi-view images. Previous approaches usually rely on point clouds or require pre-defined homeomorphic mappings for untextured data. Our method overcomes these limitations by leveraging mesh-guided 3D Gaussian Splatting (3DGS) for high-fidelity geometry and appearance modeling. The core of our framework is a unified deformation strategy that anchors 3DGaussians to reconstructed mesh patches, …

Segment-Factorized Full-Song Generation on Symbolic Piano Music
Ping-Yi Chen, Chih-Pin Tan, Yi-Hsuan Yang
https://arxiv.org/abs/2510.05881 https://arxiv.or…

Segment-Factorized Full-Song Generation on Symbolic Piano Music
We propose the Segmented Full-Song Model (SFS) for symbolic full-song generation. The model accepts a user-provided song structure and an optional short seed segment that anchors the main idea around which the song is developed. By factorizing a song into segments and generating each one through selective attention to related segments, the model achieves higher quality and efficiency compared to prior work. To demonstrate its suitability for human-AI interaction, we further wrap SFS into a web …

Position estimation based on UWB swarm optimization and comparison against traditional trilateration
Vinish Yogesh, Bert-Jan van Beijnum, Jaap H. Buurke, Chris T. M. Baten
https://arxiv.org/abs/2509.24738

Position estimation based on UWB swarm optimization and comparison against traditional trilateration
Ultra-wideband (UWB) is a promising technology for indoor position estimation for various localization applications of object swarms, such as in 3D analysis of human movement with multiple on-body sensors or a swarm of drones in an indoor environment. However, most UWB-only position estimation methods are based on a star topology, where the position of a mobile node is estimated using distances from several fixed anchors. These approaches ignore the valuable inter-node distance estimates, possi…