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New determinant formulas of Giambelli-type for Schur multiple zeta-functions and their applications
Kohji Matsumoto, Maki Nakasuji
https://arxiv.org/abs/2509.14621 https://

New determinant formulas of Giambelli-type for Schur multiple zeta-functions and their applications
In this article, we will prove the Giambelli formula for Schur multiple zeta-functions of extended shape which we call laced type, using the combinatorial method of proving the Giambelli formula for Schur function by Egecioglu and Remmel. Further we will obtain the Giambelli formula for Schur multiple zeta-functions of a certain skew type via the antipode on the set of quasi-symmetric functions. Combining these two Giambelli-type formulas, we will have new identities among Schur multiple zeta-f…

A Closed-form Expression of the Gaussian Noise Model Supporting O-Band Transmission
Zelin Gan, Henrique Buglia, Romulo Aparecido, Mindaugas Jarmolovi\v{c}ius, Eric Sillekens, Jiaqian Yang, Ronit Sohanpal, Robert I. Killey, Polina Bayvel
https://arxiv.org/abs/2510.11867

A Closed-form Expression of the Gaussian Noise Model Supporting O-Band Transmission
We present a novel closed-form model for nonlinear interference (NLI) estimation in low-dispersion O-band transmission systems. The formulation incorporates the four-wave mixing (FWM) efficiency term as well as the coherent contributions of self- and cross-phase modulation (SPM/XPM) across multiple identical spans. This extension enables accurate evaluation of the NLI in scenarios where conventional closed-form Gaussian Noise (GN) models are limited. The proposed model is validated against spli…

SourceSplice: Source Selection for Machine Learning Tasks
Ambarish Singh, Romila Pradhan
https://arxiv.org/abs/2507.22186 https://arxiv.org/pdf/2507.22186

SourceSplice: Source Selection for Machine Learning Tasks
Data quality plays a pivotal role in the predictive performance of machine learning (ML) tasks - a challenge amplified by the deluge of data sources available in modern organizations.Prior work in data discovery largely focus on metadata matching, semantic similarity or identifying tables that should be joined to answer a particular query, but do not consider source quality for high performance of the downstream ML task.This paper addresses the problem of determining the best subset of data sou…

Extended Version: Security and Privacy Perceptions of Pakistani Facebook Matrimony Group Users
Mah Jan Dorazahi, Deepthi Mungara, Yasemin Acar, Harshini Sri Ramulu
https://arxiv.org/abs/2509.08782

Extended Version: Security and Privacy Perceptions of Pakistani Facebook Matrimony Group Users
In Pakistan, where dating apps are subject to censorship, Facebook matrimony groups -- also referred to as marriage groups -- serve as alternative virtual spaces for members to search for potential life partners. To participate in these groups, members often share sensitive personal information such as photos, addresses, and phone numbers, which exposes them to risks such as fraud, blackmail, and identity theft. To better protect users of Facebook matrimony groups, we need to understand aspects…