arXiv:2601.00121v1 Announce Type: new Abstract: Inventory management remains a challenge for many small and medium-sized businesses that lack the expertise to deploy advanced optimization methods. This paper investigates whether Large Language Models (LLMs) can help bridge this gap. We show that employing LLMs as direct, end-to-end solvers incurs a significant “hallucination tax”: a performance gap arising from the model’s inability to perform grounded stochastic reasoning. To address this, we propose a hybrid agentic framework that strictly decouples semantic […]

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arXiv:2601.02396v1 Announce Type: new Abstract: Recent advances in satellite technology have introduced a new frontier of wireless networking by establishing Low Earth Orbit (LEO) Satellite networks that work to connect difficult to reach areas and improve global connectivity. These novel advancements lack robust open-source simulation models that can highlight potential bottlenecks or potential wasted resources, wasting terrestrial users and the companies that provide these networks time and money. To that end, we propose SLASh, a highly-customizable satellite network […]

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Credit fraud detection is a central problem in financial risk management. It is challenging due to complex relationships among transaction entities, strong coordination of fraudulent activities, and high levels of behavioral camouflage at the individual level. Traditional approaches mainly rely on features from independent samples. They often fail to represent multi-entity interaction structures effectively. From a relational modeling perspective, this study investigates a graph neural network-based method for credit fraud detection. The method represents transaction entities and their […]

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Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficiency of the method. However, in practice the optimal proposal kernel and multiplier weights are seldom known. In this paper we present a simulation-based method for constructing offline an approximation of these quantities that makes the filter close to fully adapted at a reasonable computational cost. The approximation is constructed as a mixture of experts optimised […]

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The crypto market is no longer driven purely by hype. As investors look ahead to 2026, the focus has shifted toward timing, utility, and long-term sustainability. In this article, we take a closer look at Dogecoin (DOGE) and Mutuum Finance (MUTM)—two very different cryptocurrencies at very different stages—to assess which may offer the stronger investment opportunity in today’s market environment. Dogecoin (DOGE) Dogecoin remains one of the most recognizable cryptocurrencies in the market, largely due to its meme-driven […]

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Preliminaries Linear algebra Calculus 1,2 Taylor series Quadratic Functions1 Quadratic function, a type of performance index, is universal. One of its key properties is that it can be represented in a second-order Taylor series precisely. [ F(mathbf{x})=frac{1}{2}mathbf{x}^TAmathbf{x}+mathbf{d}mathbf{x}+ctag{1} ] where (A) is a symmetric matrix(if it is not symmetric, it can be easily converted into symmetric). And recall the property of gradient: [ nabla (mathbf{h}^Tmathbf{x})=nabla (mathbf{x}^Tmathbf{h})=mathbf{h}tag{2} ] and [ nabla (mathbf{x}^TQmathbf{x})=Qmathbf{x}+Q^Tmathbf{x}=2Qmathbf{x}tag{3} ]

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arXiv:2601.02496v1 Announce Type: new Abstract: We introduce APoW, a novel proof-of-work (PoW) construction inspired by Hashcash-style nonce searching, which enables the auditing of other miners’ work through accountable re-scanning of the nonce space. The proposed scheme allows a miner to probabilistically attest to having searched specified regions of the nonce space in earlier mining rounds, while concurrently earning rewards for performing productive work for a new block or pool share. This capability enables miners belonging to a mining […]

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Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous vehicle car safety agent running on OpenAI’s GPT 5.2 The post Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example appeared first on Towards Data Science.

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