Tootfinder

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
https://arxiv.org/abs/2508.00709

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
Legal Judgment Prediction (LJP) has emerged as a key area in AI for law, aiming to automate judicial outcome forecasting and enhance interpretability in legal reasoning. While previous approaches in the Indian context have relied on internal case content such as facts, issues, and reasoning, they often overlook a core element of common law systems, which is reliance on statutory provisions and judicial precedents. In this work, we propose NyayaRAG, a Retrieval-Augmented Generation (RAG) framewo…

Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
Babak Azkaei, Kishor Chandra Joshi, George Exarchakos
https://arxiv.org/abs/2509.03290 https://…

Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
The ever-increasing reliance of critical services on network infrastructure coupled with the increased operational complexity of beyond-5G/6G networks necessitate the need for proactive and automated network fault management. The provision for open interfaces among different radio access network\,(RAN) elements and the integration of AI/ML into network architecture enabled by the Open RAN\,(O-RAN) specifications bring new possibilities for active network health monitoring and anomaly detection.…

Revisit of Two-dimensional CEM on Crack Branching: from Single Crack-tip Tracking to Multiple Crack-tips Tracking
Yuxi Xie, Hongyou Cao, Miao Su, Zhipeng Lai, Xiaolong He
https://arxiv.org/abs/2509.01827

Revisit of Two-dimensional CEM on Crack Branching: from Single Crack-tip Tracking to Multiple Crack-tips Tracking
In this work, a Multiple Crack-tips Tracking algorithm in two-dimensional Crack Element Model (MCT-2D-CEM) is developed, aiming at modeling and predicting advanced and complicated crack patterns in two-dimensional dynamic fracturing problems, such as crack branching and fragmentation. Based on the developed fracture energy release rate formulation of split elementary topology, the Multiple Crack-tips Tracking algorithm is proposed and a series of benchmark examples are provided to validate effe…

6 months and no acknowledgment (still marked as NEW) nor visible activity…
Bug 286267: AX: VoiceOver does not announce text preceding some phrasing elements
https://bugs.webkit.org/show_bug.cgi?id=286267
And it got worse since I reported it in January.

Exponentially Enhanced Tripartite Coupling in Quantum Nonlinear Magnonics
Xue-Chun Chen, Zi-Jie Wang, Sheng-Bo Zheng, Jiaojiao Chen, Wei Xiong
https://arxiv.org/abs/2509.01884 h…

Exponentially Enhanced Tripartite Coupling in Quantum Nonlinear Magnonics
Strong and controllable tripartite interactions play a pivotal role in quantum information and nonlinear quantum optics, yet challenging to realize. In this work, we propose a hybrid system consisting of a nitrogen-vacancy (NV) center coupled to Kerr magnons (magnons with Kerr nonlinearity) in two yttrium-iron-garnet spheres. By adiabatically eliminating the ground state of the NV qutrit in the dispersive regime, an effective tripartite interaction among magnons and an NV qubit encoded in its e…

DOGE built an AI tool to cut 50 percent of federal regulations
The U.S. DOGE Service is using a new artificial intelligence tool to slash federal regulations,
with the goal of eliminating half of Washington’s regulatory mandates by the first anniversary of Trump’s inauguration,

The tool, called the
“DOGE AI Deregulation Decision Tool,” is supposed to analyze roughly 200,000 federal regulations
to determine which can be eliminated as they are no longer required…

DOGE builds AI tool to cut 50 percent of federal regulations
The U.S. DOGE Service is using a new AI tool to eliminate federal regulations, aiming to cut 50 percent of rules by the first anniversary of President Donald Trump’s inauguration.

Sources: DOGE has built an AI tool aiming to cut 50% of federal regulations, or around 100,000 rules, by the first anniversary of Trump's inauguration (Washington Post)

DOGE builds AI tool to cut 50 percent of federal regulations
The U.S. DOGE Service is using a new AI tool to eliminate federal regulations, aiming to cut 50 percent of rules by the first anniversary of President Donald Trump’s inauguration.

Optical Spectroscopy Reveals Hidden Neutron-capture Elemental Abundance Differences among APOGEE-identified Chemical Doppelg\"angers
Catherine Manea, Melissa Ness, Keith Hawkins, Greg Zeimann, David W. Hogg, Carrie Filion, Emily J. Griffith, Kathryn Johnston, Andrew Casey, Zoe Hackshaw, Tyler Nelson, Micah Marks
https://arxiv.org/abs/…

Optical Spectroscopy Reveals Hidden Neutron-capture Elemental Abundance Differences among APOGEE-identified Chemical Doppelgängers
Grouping stars by chemical similarity has the potential to reveal the Milky Way's evolutionary history. The APOGEE stellar spectroscopic survey has the resolution and sensitivity for this task. However, APOGEE lacks access to strong lines of neutron-capture elements ($Z > 28$) which have nucleosynthetic origins that are distinct from those of the lighter elements. We assess whether APOGEE abundances are sufficient for selecting chemically similar disk stars by identifying 25 pairs of chemical `…

New wave of austerity in France.
Frozen pensions, cuts in public spending and jobs and reductions in public holidays. Debt at 114% GDP
El Gobierno francés congelarš pensiones, recortarš gasto social y funcionarios y eliminarš días festivos para contener la deuda
…

El Gobierno francés congelará pensiones, recortará gasto social y funcionarios y eliminará días festivos para contener la deuda
El primer ministro de Francia anuncia un ajuste presupuestario de 43.800 millones de euros para 2026

A discontinuous in time Streamline Diffusion Virtual Element Method for Darcy-transport problem
R A Caraballo Diaz, F Dassi
https://arxiv.org/abs/2506.21326

A discontinuous in time Streamline Diffusion Virtual Element Method for Darcy-transport problem
We present a first numerical study of transport phenomena involving chemically reactive species, modeled by advection-diffusion-reaction systems with flow fields governed by Darcy's law. Among the various discretisation approaches, we consider the Streamline Diffusion method. Both the velocity field and the species concentrations are computed using the Virtual Element Method using a Discontinuous Galerkin scheme for time. An abstract error estimate has been derived using a special technique tha…