Tootfinder

Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management
Milan Gandhi, Peter Cihon, Owen Larter, Rebecca Anselmetti
https://arxiv.org/abs/2509.22742

Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management
Risk assessments for advanced AI systems require evaluating both the models themselves and their deployment contexts. We introduce the Societal Capacity Assessment Framework (SCAF), an indicators-based approach to measuring a society's vulnerability, coping capacity, and adaptive capacity in response to AI-related risks. SCAF adapts established resilience analysis methodologies to AI, enabling organisations to ground risk management in insights about country-level deployment conditions. It can …

CMB Hemispherical Power Asymmetry from Early Phase of Inflation
Akash Gandhi, Mohit Panwar, Pankaj Jain
https://arxiv.org/abs/2509.24712 https://arxiv.org/…

CMB Hemispherical Power Asymmetry from Early Phase of Inflation
We investigate the hemispherical power asymmetry observed in the CMBR by attributing it to an early inhomogeneous phase of cosmic expansion. Unlike the conventional assumption of a perfectly isotropic and homogeneous pre-inflationary Universe, we introduce a small inhomogeneous perturbation, treated within a perturbative framework. Our analysis builds on previously developed empirical models of inhomogeneous primordial power spectrum models based on dipole modulation. Using in-in formalism, we …

Frank Price, the writer-producer who presided over the TV and movie divisions at Universal and served two terms as the head of Columbia Pictures, dies at 95 (Mike Barnes/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m

Frank Price, Studio Chief at Columbia (Twice) and Universal, Dies at 95
He first made his mark as a producer on NBC's 'The Virginian' and greenlighted films including 'Gandhi,' 'Tootsie,' 'Back to the Future' and 'Boyz n the Hood.

ANSC: Probabilistic Capacity Health Scoring for Datacenter-Scale Reliability
Madhava Gaikwad, Abhishek Gandhi
https://arxiv.org/abs/2508.16119 https://arxi…

ANSC: Probabilistic Capacity Health Scoring for Datacenter-Scale Reliability
We present ANSC, a probabilistic capacity health scoring framework for hyperscale datacenter fabrics. While existing alerting systems detect individual device or link failures, they do not capture the aggregate risk of cascading capacity shortfalls. ANSC provides a color-coded scoring system that indicates the urgency of issues \emph{not solely by current impact, but by the probability of imminent capacity violations}. Our system accounts for both current residual capacity and the probability o…

kh2d-solver: A Python Library for Idealized Two-Dimensional Incompressible Kelvin-Helmholtz Instability
Sandy H. S. Herho, Nurjanna J. Trilaksono, Faiz R. Fajary, Gandhi Napitupulu, Iwan P. Anwar, Faruq Khadami, Dasapta E. Irawan
https://arxiv.org/abs/2509.16080

kh2d-solver: A Python Library for Idealized Two-Dimensional Incompressible Kelvin-Helmholtz Instability
We present an open-source Python library for simulating two-dimensional incompressible Kelvin-Helmholtz instabilities in stratified shear flows. The solver employs a fractional-step projection method with spectral Poisson solution via Fast Sine Transform, achieving second-order spatial accuracy. Implementation leverages NumPy, SciPy, and Numba JIT compilation for efficient computation. Four canonical test cases explore Reynolds numbers 1000--5000 and Richardson numbers 0.1--0.3: classical shear…

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[2/2]:
- MPPI-Generic: A CUDA Library for Stochastic Trajectory Optimization
Bogdan Vlahov, Jason Gibson, Manan Gandhi, Evangelos A. Theodorou

become the change you want to see in the world
- Mahatma Gandhi
#quotes

Disentangling disc and atmospheric signatures of young brown dwarfs with JWST/NIRSpec
D. Gonz\'alez Picos, S. de Regt, S. Gandhi, N. Grasser, I. A. G. Snellen
https://arxiv.org/abs/2509.11694

Disentangling disc and atmospheric signatures of young brown dwarfs with JWST/NIRSpec
Young brown dwarfs serve as analogues of giant planets and provide benchmarks for atmospheric and formation models. JWST has enabled access to near-infrared spectra of brown dwarfs with unprecedented sensitivity. We aim to constrain their chemical compositions, temperature structures, isotopic ratios, and disc emission. We perform retrievals and disc modelling on JWST/NIRSpec medium-resolution ($R \approx 2700$) spectra spanning 0.97--5.27 $μ$m, combining radiative transfer, line-by-line opaci…

Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
Vaibhav Srivastav, Steven Zheng, Eric Bezzam, Eustache Le Bihan, Nithin Koluguri, Piotr \.Zelasko, Somshubra Majumdar, Adel Moumen, Sanchit Gandhi
https://arxiv.org/abs/2510.06961

Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
Despite rapid progress, ASR evaluation remains saturated with short-form English, and efficiency is rarely reported. We present the Open ASR Leaderboard, a fully reproducible benchmark and interactive leaderboard comparing 60+ open-source and proprietary systems across 11 datasets, including dedicated multilingual and long-form tracks. We standardize text normalization and report both word error rate (WER) and inverse real-time factor (RTFx), enabling fair accuracy-efficiency comparisons. For E…

Further evidence for natal kick segregation by spectral type in high-mass X-ray binaries
Pornisara Nuchvanichakul, Poshak Gandhi, Christian Knigge, Yue Zhao, Puji Irawati, Suwicha Wanawichian, Cordelia Dashwood Brown
https://arxiv.org/abs/2509.10221

Further evidence for natal kick segregation by spectral type in high-mass X-ray binaries
High-mass X-ray binaries (HMXBs) are systems in which a neutron star or black hole accretes material from a massive companion. HMXBs are expected to have experienced a supernova in their evolution. The impulsive kick associated with this event should affect the space velocity of the system in a way that depends on the nature and state of the progenitor binary. Here, we test whether the different evolutionary histories of HMXBs have left a detectable imprint on their peculiar velocities ($V_{\rm…

When Agents go Astray: Course-Correcting SWE Agents with PRMs
Shubham Gandhi, Jason Tsay, Jatin Ganhotra, Kiran Kate, Yara Rizk
https://arxiv.org/abs/2509.02360 https://

When Agents go Astray: Course-Correcting SWE Agents with PRMs
Large Language Model (LLM) agents are increasingly deployed for complex, multi-step software engineering (SWE) tasks. However, their trajectories often contain costly inefficiencies, such as redundant exploration, looping, and failure to terminate once a solution is reached. Prior work has largely treated these errors in a post-hoc manner, diagnosing failures only after execution. In this paper, we introduce SWE-PRM, an inference-time Process Reward Model (PRM) that intervenes during execution …

Replaced article(s) found for cs.MS. https://arxiv.org/list/cs.MS/new
[1/1]:
- MPPI-Generic: A CUDA Library for Stochastic Trajectory Optimization
Bogdan Vlahov, Jason Gibson, Manan Gandhi, Evangelos A. Theodorou

Second public data release of the FIRE-2 cosmological zoom-in simulations of galaxy formation
Andrew Wetzel, Jenna Samuel, Pratik J. Gandhi, Sam B. Ponnada, Kung-Yi Su, Arpit Arora, Daniel Angles-Alcazar, Christopher C. Hayward, Robyn E. Sanderson, Robert Feldmann, Rachel Cochrane, Farnik Nikakhtar, Nondh Panithanpaisal, Jose A. Benavides, Viraj Pandya, Mike Grudic, Cameron Hummels, Alexander B. Gurvich, Zachary Hafen, Xiangcheng Ma, Shea Garrison-Kimmel, Omid Sameie, T. K Chan, Kareem…

Second public data release of the FIRE-2 cosmological zoom-in simulations of galaxy formation
We describe the second data release (DR2) of the FIRE-2 cosmological zoom-in simulations of galaxy formation, from the Feedback In Realistic Environments (FIRE) project, available at http://flathub.flatironinstitute.org/fire. DR2 includes all snapshots for most simulations, starting at z ~ 99, with all snapshot time spacings <~ 25 Myr. The Core suite -- comprising 14 Milky Way-mass galaxies, 5 SMC/LMC-mass galaxies, and 4 lower-mass galaxies -- includes 601 snapshots to z = 0. For the Core suit…

An effective analytic recurrence for prime numbers: from asymptotics to explicit bounds
Benoit Cloitre
https://arxiv.org/abs/2508.02690 https://arxiv.org/p…

An effective analytic recurrence for prime numbers: from asymptotics to explicit bounds
We present an explicit and effective recurrence formula for prime numbers, bridging arithmetic and analytic approaches. Building upon foundational work by Gandhi (1971), Golomb (1976), and Keller (2007), we establish the effective bound $s_n \le 2p_n$ for all $n \ge 1$ within the Golomb-Keller analytic recurrence. This transforms their asymptotic formula into an explicit recurrence using twice the n-th prime as the exponent: $$ p_{n+1} = \left\lceil \left( -1 + ζ(2p_n) \prod_{j=1}^{n} \left(1 …

Tetris: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services
Rohan Gandhi, Ankur Mallick, Ken Sueda, Rui Liang
https://arxiv.org/abs/2508.00426 https://

Tetris: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services
Conference services like Zoom, Microsoft Teams, and Google Meet facilitate millions of daily calls, yet ensuring high performance at low costs remains a significant challenge. This paper revisits the problem of packing calls across Media Processor (MP) servers that host the calls within individual datacenters (DCs). We show that the algorithm used in Teams -- a large scale conferencing service as well as other state-of-art algorithms are prone to placing calls resulting in some of the MPs becom…

Autonomous Soft Robotic Guidewire Navigation via Imitation Learning
Noah Barnes, Ji Woong Kim, Lingyun Di, Hannah Qu, Anuruddha Bhattacharjee, Miroslaw Janowski, Dheeraj Gandhi, Bailey Felix, Shaopeng Jiang, Olivia Young, Mark Fuge, Ryan D. Sochol, Jeremy D. Brown, Axel Krieger
https://arxiv.org/abs/2510.09497

Autonomous Soft Robotic Guidewire Navigation via Imitation Learning
In endovascular surgery, endovascular interventionists push a thin tube called a catheter, guided by a thin wire to a treatment site inside the patient's blood vessels to treat various conditions such as blood clots, aneurysms, and malformations. Guidewires with robotic tips can enhance maneuverability, but they present challenges in modeling and control. Automation of soft robotic guidewire navigation has the potential to overcome these challenges, increasing the precision and safety of endova…

Improving S&P 500 Volatility Forecasting through Regime-Switching Methods
Ava C. Blake, Nivika A. Gandhi, Anurag R. Jakkula
https://arxiv.org/abs/2510.03236 https://

Improving S&P 500 Volatility Forecasting through Regime-Switching Methods
Accurate prediction of financial market volatility is critical for risk management, derivatives pricing, and investment strategy. In this study, we propose a multitude of regime-switching methods to improve the prediction of S&P 500 volatility by capturing structural changes in the market across time. We use eleven years of SPX data, from May 1st, 2014 to May 27th, 2025, to compute daily realized volatility (RV) from 5-minute intraday log returns, adjusted for irregular trading days. To enhance…

Crosslisted article(s) found for econ.EM. https://arxiv.org/list/econ.EM/new
[1/1]:
- Improving S&P 500 Volatility Forecasting through Regime-Switching Methods
Ava C. Blake, Nivika A. Gandhi, Anurag R. Jakkula

Astroclimes -- measuring the abundance of CO$_2$ and CH$_4$ in the Earth's atmosphere using astronomical observations
Marcelo Aron Fetzner Keniger, David Armstrong, Matteo Brogi, Siddharth Gandhi, Marina Lafarga
https://arxiv.org/abs/2509.10258

Astroclimes -- measuring the abundance of CO$_2$ and CH$_4$ in the Earth's atmosphere using astronomical observations
Monitoring the abundance of greenhouse gases (GHGs) such as carbon dioxide (CO$_2$) and methane (CH$_4$) is necessary to quantify their impact on global warming and climate change. Although a number of satellites and ground-based networks measure the total column volume mixing ratio (VMR) of these gases, they rely on sunlight, and column measurements at night are comparatively scarce. We present a new algorithm, Astroclimes, that hopes to complement and extend nighttime CO$_2$ and CH4 column me…

Nonvolatile Switching of Magnetism via Gate-Induced Sliding in Tetralayer Graphene
Daniel Brandon, Tixuan Tan, Yiwen Ai, Peter Golemis, Akshat Gandhi, Lujin Min, Kenji Watanabe, Takashi Taniguchi, Trithep Devakul, Kenji Yasuda
https://arxiv.org/abs/2510.00220

Nonvolatile Switching of Magnetism via Gate-Induced Sliding in Tetralayer Graphene
Interlayer sliding degrees of freedom often determine the physical properties of two-dimensional (2D) materials. In graphene, for instance, the metastable rhombohedral stacking arrangement hosts correlated and topological electronic phases, which are absent in conventional Bernal stacking. Here, we demonstrate a sliding-induced first-order structural phase transition between Bernal and rhombohedral tetralayer graphene driven by gate voltages. Through transport measurement, we observe bistable s…

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Who Should Run Advanced AI Evaluations -- AISIs?
Merlin Stein, Milan Gandhi, Theresa Kriecherbauer, Amin Oueslati, Robert Trager

Infrared Synchrotron Emission in the Soft State of GX 339-4 and the Mid-Infrared/X-ray Luminosity Plane of Black Hole X-ray Binaries
P. Gandhi, D. M. Russell, M. C. Baglio, Y. Bhargava, R. Duncan, A. G\'urpide, C. O. Heinke, C. Knigge, K. S. Long, T. J. Maccarone, G. Mastroserio, T. D. Russell, A. W. Shaw, A. J. Tetarenko, F. M. Vincentelli, E. S. Borowski, D. A. H. Buckley, P. Casella, C. Dashwood Brown, G. C. Dewangan, R. I. Hynes, S. Markoff, J. A. Tomsick, K. Alabarta, F. Carot…

Infrared Synchrotron Emission in the Soft State of GX 339-4 and the Mid-Infrared/X-ray Luminosity Plane of Black Hole X-ray Binaries
Progress in understanding the growth of accreting black holes remains hampered by a lack of sensitive coordinated multiwavelength observations. In particular, the mid-infrared (MIR) regime remains ill-explored except for jet-dominant states. Here, we present comprehensive follow-up of the black hole X-ray binary GX 339-4 during a disc-dominated state in its 2023/24 outburst as part of a multi-wavelength campaign coordinated around JWST/MIRI. The X-ray properties are fairly typical of soft accre…