Tootfinder

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments
Jennah Gosciak (Cornell University), Aparna Balagopalan (Massachusetts Institute of Technology), Derek Ouyang (Stanford University), Allison Koenecke (Cornell University), Marzyeh Ghassemi (Massachusetts Institute of Technology), Daniel E. Ho (Stanford University)

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments
Conducting disparity assessments at regular time intervals is critical for surfacing potential biases in decision-making and improving outcomes across demographic groups. Because disparity assessments fundamentally depend on the availability of demographic information, their efficacy is limited by the availability and consistency of available demographic identifiers. While prior work has considered the impact of missing data on fairness, little attention has been paid to the role of delayed dem…

Str\"omgren photometric metallicity map of the Magellanic Cloud stars using Gaia DR3--XP spectra
Abinaya O. Omkumar, Maria-Rosa L. Cioni, Smitha Subramanian, Jos de Bruijne, Aparna Nair, Bruno Dias
https://arxiv.org/abs/2506.10749

Strömgren photometric metallicity map of the Magellanic Cloud stars using Gaia DR3--XP spectra
One important key in understanding a galaxy's evolution is to study the consequences of its past dynamical interactions that influenced its shape. By measuring the metallicity distribution of stellar populations with different ages, one can learn about these interactions. The Magellanic Clouds, being the nearest pair of interacting dwarf galaxies with a morphology characterised by different tidal and kinematic sub-structures as well as a vast range of stellar populations, represent an excellent…

An Efficient Digital Watermarking Technique for Small Scale devices
Kaushik Talathi, Aparna Santra Biswas
https://arxiv.org/abs/2506.06691 https://

An Efficient Digital Watermarking Technique for Small Scale devices
In the age of IoT and mobile platforms, ensuring that content stay authentic whilst avoiding overburdening limited hardware is a key problem. This study introduces hybrid Fast Wavelet Transform & Additive Quantization index Modulation (FWT-AQIM) scheme, a lightweight watermarking approach that secures digital pictures on low-power, memory-constrained small scale devices to achieve a balanced trade-off among robustness, imperceptibility, and computational efficiency. The method embeds watermark …

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne
https://arxiv.org/abs/2506.01063

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) are reshaping how AI systems extract and organize information from unstructured text. A key challenge is designing AI methods that can incrementally extract, structure, and validate information while preserving hierarchical and contextual relationships. We introduce CDMizer, a template-driven, LLM, and RAG-based framework for structured text transformation. By leveraging depth-based retrieval and hierarchical generation, CDMi…

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
Ettore Biondi, Gabrielle Tepp, Ellen Yu, Jessie K. Saunders, Victor Yartsev, Michael Black, Michael Watkins, Aparna Bhaskaran, Rayomand Bhadha, Zhongwen Zhan, Allen L. Husker
https://arxiv.org/abs/2505.24077

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
We introduce a modular software framework designed to integrate distributed acoustic sensing (DAS) data into operational earthquake monitoring systems. Building on the infrastructure of the Advanced National Seismic System (ANSS) and the Southern California Seismic Network (SCSN), which employs the ANSS Quake Monitoring Software (AQMS), our solution supports real-time DAS waveform streaming and machine-learning-based traveltime picking to leverage the dense spatial sampling of DAS arrays. To en…