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AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation

Zhou, Milton; Qin, Sizhong; Li, Yongzhi et al.

arXiv · 2026 · English · arXiv

Short-form videos have become a primary medium for digital advertising, requiring scalable and efficient content creation. However, current workflows and AI tools remain disjoint and modality-specific, leading to high production costs and low overall efficiency. To address this issue, we propose…

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Rethinking Structure Preservation in Text-Guided Image Editing with Visual Autoregressive Models

Xia, Tao; Liu, Jiawei; Zhang, Yukun et al.

arXiv · 2026 · English · arXiv

Visual autoregressive (VAR) models have recently emerged as a promising family of generative models, enabling a wide range of downstream vision tasks such as text-guided image editing. By shifting the editing paradigm from noise manipulation in diffusion-based methods to token-level operations…

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Simulating cavity QED with spin-orbit coupled Bose-Einstein condensates revisited

Hasan, Muhammad S.; Gietka, Karol

arXiv · 2026 · English · arXiv

Simulating cavity quantum electrodynamics in synthetic platforms offers a promising route to exploring light-matter interactions without real photons, while enabling the transfer of cavity-based techniques to other systems. Among such platforms, Bose-Einstein condensates with synthetic spin-orbit…

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Age of Incorrect Information for Generic Discrete-Time Markov Sources

Bountrogiannis, Konstantinos; Ephremides, Anthony; Tsakalides, Panagiotis et al.

arXiv · 2026 · English · arXiv

This work introduces a framework for analyzing the Age of Incorrect Information (AoII) in a real-time monitoring system with a generic discrete-time Markov source. We study a noisy communication system employing a hybrid automatic repeat request (HARQ) protocol, subject to a transmission rate…

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Coherent Without Grounding, Grounded Without Success: Observability and Epistemic Failure

Sartori, Camilo Chacón

arXiv · 2026 · English · arXiv

When an agent can articulate why something works, we typically take this as evidence of genuine understanding. This presupposes that effective action and correct explanation covary, and that coherent explanation reliably signals both. I argue that this assumption fails for contemporary Large…

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Fairness Scheduling for Coded Caching in Multi-AP Wireless Local Area Networks

Akcay, Kagan; Salehi, MohammadJavad; Caire, Giuseppe

arXiv · 2026 · English · arXiv

Coded caching (CC) exploits cumulative cache memory at user devices and coding to transform unicast traffic into multicast transmissions. While information theoretic results show significant gains over uncoded caching for various network topologies, its practical benefits remain unclear. In this…

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Using Games to Learn How Large Language Models Work

Chen, Allison; Pu, Isabella

arXiv · 2026 · English · arXiv

While artificial intelligence (AI) technology is becoming increasingly popular, its underlying mechanisms tend to remain opaque to most people. To address this gap, the field of AI literacy aims to develop various resources to teach people how AI systems function. Here we contribute to this line of…

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Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design

Zhu, Bin; Jia, Qianghuai; Lan, Tian et al.

arXiv · 2026 · English · arXiv

Deep research agents autonomously conduct open-ended investigations, integrating complex information retrieval with multi-step reasoning across diverse sources to solve real-world problems. To sustain this capability on long-horizon tasks, reliable verification is critical during both training and…

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Cosmological peculiar velocities in general relativity?

Tsagas, Christos G.

arXiv · 2026 · English · arXiv

Cosmological peculiar velocities have traditionally been studied within the framework of Newtonian theory. Around the turn of the century, a few quasi-Newtonian analyses appeared in the literature, but led to equations and results identical to those of the purely Newtonian approach [1]. More…

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Membership Inference Attacks against Large Audio Language Models

Dong, Jia-Kai; Lin, Yu-Xiang; Lee, Hung-Yi

arXiv · 2026 · English · arXiv

We present the first systematic Membership Inference Attack (MIA) evaluation of Large Audio Language Models (LALMs). As audio encodes non-semantic information, it induces severe train and test distribution shifts and can lead to spurious MIA performance. Using a multi-modal blind baseline based on…

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The force of attraction between nucleons due to vacuum fluctuation

Ghosh, Anupam

arXiv · 2026 · English · arXiv

In this letter, we derive the interaction energy and the force between two parallel metal plates, arising from quantum vacuum fluctuations when they are very close to each other. We consider the vacuum to be composed of a meson field. In Quantum Hadrodynamics, mesons are the carriers of the nuclear…

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Evolution of Quasi-Periodic Eruptions in the post-TDE Accretion Disk Perturbed by an Orbiting Star

Mondek, Martin; Zajaček, Michal; Best, Henry et al.

arXiv · 2026 · English · arXiv

Quasi-periodic eruptions (QPEs) are a recently discovered class of highly variable X-ray bursts originating in galactic nuclei. These high-amplitude bursts exhibit periodicity ranging from tens of minutes to several days. QPEs are also characterized by variable peak amplitudes that can vary by a…

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Warp-STAR: High-performance, Differentiable GPU-Accelerated Static Timing Analysis through Warp-oriented Parallel Orchestration

Huang, En-Ming; Hung, Shih-Hao

arXiv · 2026 · English · arXiv

Static timing analysis (STA) is crucial for Electronic Design Automation (EDA) flows but remains a computational bottleneck. While existing GPU-based STA engines are faster than CPU, they suffer from inefficiencies, particularly intra-warp load imbalance caused by irregular circuit graphs. This…

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Anick Resolution for Lawvere Theories from Algebraic Discrete Morse Theory

Ikebuchi, Mirai

arXiv · 2026 · English · arXiv

Inspired by Brown's collapsing method (or discrete Morse theory) to obtain a free resolution of $\bbZ$ over the monoid ring $\bbZ M$, we apply algebraic discrete Morse theory to compute the homology groups of Lawvere theories, which is defined as Tor of a certain module. We reinterpret known…

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Study of radiative proton capture by the 7Be nucleus with the use of ab initio approaches

Rodkin, D.; Tchuvilsky, Yu.

arXiv · 2026 · English · arXiv

A theoretical study of the 7Be(p,gamma)8B reaction in the astrophysical energy range with the use of ab initio methods is presented. The used approaches are No-Core Shell Model and Cluster Channels Orthogonal Functions Method. The scheme also contains elements of R-matrix theory and procedures for…

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Emergent Magnetic Monopole in Artificial Polariton Spin Ice

Cao, Junhui; Kavokin, Alexey

arXiv · 2026 · English · arXiv

Artificial spin ice provides a versatile setting for emergent gauge fields and magnetic monopole excitations. Here we propose a driven-dissipative polariton realization of artificial spin ice, in which the circular polarization of each link mode plays the role of an Ising degree of freedom, while…

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Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids

Sepúlveda, Carlos S.; Ruz, Gonzalo A.

arXiv · 2026 · English · arXiv

Maritime surveillance missions, such as search and rescue and environmental monitoring, rely on the efficient allocation of sensing assets over vast and geometrically complex areas. Traditional Coverage Path Planning (CPP) approaches depend on decomposition techniques that struggle with irregular…

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COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game

Sygkounas, Alkis; Hazra, Rishi; Persson, Andreas et al.

arXiv · 2026 · English · arXiv

A central challenge in building continually improving agents is that training environments are typically static or manually constructed. This restricts continual learning and generalization beyond the training distribution. We address this with COvolve, a co-evolutionary framework that leverages…

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The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation

Vu, Doan Nam Long; Balloccu, Simone

arXiv · 2026 · English · arXiv

Trustworthy clinical AI requires that performance gains reflect genuine evidence integration rather than surface-level artifacts. We evaluate 12 open-weight vision-language models (VLMs) on binary classification across two clinical neuroimaging cohorts, \textsc{FOR2107} (affective disorders) and…

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Ergotropic rearrangement of phase space density

Campisi, Michele

arXiv · 2026 · English · arXiv

The explicit expression of ergotropy (a.k.a. available energy) of a classical system is known for the case when the system phase space density is continuous and with no plateaus. Here we provide the general expression of ergotropy that applies without those limitations. It easily follows upon…

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