Papers
Research papers from arXiv and related sources
Information-Theoretic Spectroscopy: Universal Sparsity of Extinction Manifold and Optimal Sensing across Scattering Regimes
The inverse reconstruction of material properties from optical extinction efficiency (Qext) is constrained by the high-dimensional nature of Mie scattering. We demonstrate that the Qext manifold po...
Proity Nayeeb Akbar
On the Existence of Integers with at Most 3 Prime Factors Between Every Pair of Consecutive Squares
We prove an explicit almost-prime analogue of Legendre's conjecture. Namely, for every integer $n \geq 1$, the interval $(n^2,(n+1)^2)$ contains an integer having at most $3$ prime factors, counted...
Peter Campbell
Optimized combination of independent or simultaneous e-values
We show that a class of optimized e-value combinations, arising from a standard construction of e-processes, remains valid even when the tuning parameter is optimized based on the data. This result...
Jiahao Ming, Yi Shen, Ruodu Wang
Equilibrium under Time-Inconsistency: A New Existence Theory by Vanishing Entropy Regularization
This paper studies time-inconsistent stochastic control problems in a continuous-time setting. The time-inconsistency arises from the initial-time dependence such as the non-exponential discounting...
Zhenhua Wang, Xiang Yu, Jingjie Zhang, Zhou Zhou
Simulation-in-the-Reasoning (SiR): A Conceptual Framework for Empirically Grounded AI in Autonomous Transportation
Large Language Models (LLMs) have advanced reasoning through techniques like Chain-of-Thought (CoT). However, their reasoning largely re-mains textual and hypothetical, lacking empirical grounding ...
Wuping Xin
Instant Runoff Voting on Graphs: Exclusion Zones and Distortion
We study instant-runoff voting (IRV) under metric preferences induced by an unweighted graph where each vertex hosts a voter, candidates occupy some vertices (with a single candidate allowed in suc...
Georgios Birmpas, Georgios Chionas, Efthyvoulos Drousiotis, Soodeh Habibi, Marios Mavronicolas, P...
Post-Quantum Entropy as a Service for Embedded Systems
Embedded cryptography stands or falls on entropy quality, yet small devices have few trustworthy sources and little tolerance for heavyweight protocols. We build a Quantum Entropy as a Service (QEa...
Javier Blanco-Romero, Yuri Melissa Garcia-Niño, Florina Almenares Mendoza, Daniel Díaz-Sánchez, C...
SpecOps: A Fully Automated AI Agent Testing Framework in Real-World GUI Environments
Autonomous AI agents powered by large language models (LLMs) are increasingly deployed in real-world applications, where reliable and robust behavior is critical. However, existing agent evaluation...
Syed Yusuf Ahmed, Shiwei Feng, Chanwoo Bae, Calix Barrus Xiangyu Zhang
A Robust Deep Learning Framework for Bangla License Plate Recognition Using YOLO and Vision-Language OCR
An Automatic License Plate Recognition (ALPR) system constitutes a crucial element in an intelligent traffic management system. However, the detection of Bangla license plates remains challenging b...
Nayeb Hasin, Md. Arafath Rahman Nishat, Mainul Islam, Khandakar Shakib Al Hasan, Asif Newaz
High-Fidelity Digital Twin Dataset Generation for Inverter-Based Microgrids Under Multi-Scenario Disturbances
Public power-system datasets often lack electromagnetic transient (EMT) waveforms, inverter control dynamics, and diverse disturbance coverage, which limits their usefulness for training surrogate ...
Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman Rath
Degeneracy-Resilient Teach and Repeat for Geometrically Challenging Environments Using FMCW Lidar
Teach and Repeat (T&R) topometric navigation enables robots to autonomously repeat previously traversed paths without relying on GPS, making it well suited for operations in GPS-denied environments...
Katya M. Papais, Wenda Zhao, Timothy D. Barfoot
At the stellar noise frontier: a transit survey of 121 TESS M3--M6 dwarfs
M-dwarf stars are the most favorable hosts for detecting small transiting planets, yet mid-to-late M-dwarfs that acquired sufficient TESS multi-sector coverage only through recent Cycle 6+ observat...
Yohann Tschudi
ACE Runtime - A ZKP-Native Blockchain Runtime with Sub-Second Cryptographic Finality
Existing high performance blockchains verify one signature per transaction on the critical path, which creates O(N) verification cost, high hardware pressure, and difficult post quantum migration. ...
Jian Sheng Wang
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
In this paper, we propose a trust-region interior-point stochastic sequential quadratic programming (TR-IP-SSQP) method for solving optimization problems with a stochastic objective and determinist...
Yuchen Fang, Jihun Kim, Sen Na, James Demmel, Javad Lavaei
Rethinking the Harmonic Loss via Non-Euclidean Distance Layers
Cross-entropy loss has long been the standard choice for training deep neural networks, yet it suffers from interpretability limitations, unbounded weight growth, and inefficiencies that can contri...
Maxwell Miller-Golub, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo
Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-Diffusion
Generating synthetic financial time series that preserve statistical properties of real market data is essential for stress testing, risk model validation, and scenario design. Existing approaches,...
Abdulrahman Alswaidan, Jeffrey D. Varner
Octopus-inspired Distributed Control for Soft Robotic Arms: A Graph Neural Network-Based Attention Policy with Environmental Interaction
This paper proposes SoftGM, an octopus-inspired distributed control architecture for segmented soft robotic arms that learn to reach targets in contact-rich environments using online obstacle disco...
Linxin Hou, Qirui Wu, Zhihang Qin, Yongxin Guo, Cecilia Laschi
Fully Symbolic Analysis of Loop Locality: Using Imaginary Reuse to Infer Real Performance
This paper presents a new theory of locality and its compiler support. The theory is fully symbolic and derives locality as polynomials, and the compiler analysis supports affine loop nests. They d...
Yifan Zhu, Yekai Pan, Chen Ding, Yanghui Wu
Cosmological simulation of radio synchrotron bridge between pre-merging galaxy clusters
Radio bridges are diffuse synchrotron emission observed between merging galaxy clusters. Recent radio observations have reported both detections and non-detections of radio bridges between clusters...
Kosuke Nishiwaki, Gianfranco Brunetti, Franco Vazza, Claudio Gheller
A modern halo streaming model for redshift space distortions
Accurate modelling of redshift-space distortions (RSD) in galaxy clustering is essential for extracting cosmological information from current and forthcoming large-scale structure surveys. While pe...
Cheng-Zong Ruan, Baojiu Li, Carlton M. Baugh, Sownak Bose, Alexander Eggemeier, David F. Mota