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arXiv:2602.14794v1 Announce Type: new Abstract: We present a theoretical and numerical analysis of the kinematics for the "Transpressor", a cuspidal 6R robot. It admits up...
arXiv:2602.14795v1 Announce Type: new Abstract: Datasets for the experimental evaluation of knowledge graph refinement algorithms typically contain only ground facts, retaining very limited schema level...
arXiv:2602.14798v1 Announce Type: new Abstract: Tool-using LLM agents increasingly coordinate real workloads by selecting and chaining third-party tools based on text-visible metadata such as tool...
arXiv:2602.14799v1 Announce Type: new Abstract: Multi-Agent Path Finding (MAPF) remains a fundamental challenge in robotics, where classical centralized approaches exhibit exponential growth in joint-state complexity...
arXiv:2602.14805v1 Announce Type: new Abstract: A generalized framework for the novel center-fed pinching antenna system (C-PASS) is proposed. Within this framework, closed-form expressions for the...
arXiv:2602.14812v1 Announce Type: new Abstract: Physical commonsense reasoning represents a fundamental capability of human intelligence, enabling individuals to understand their environment, predict future events, and...
arXiv:2602.14814v1 Announce Type: new Abstract: Over the last years, state-tracking tasks, particularly permutation composition, have become a testbed to understand the limits of sequence models...
arXiv:2602.14815v1 Announce Type: new Abstract: Motivated by autobidding systems in online advertising, we study revenue maximization in markets with divisible goods and budget-constrained buyers with...
arXiv:2602.14819v1 Announce Type: new Abstract: We present "Testimole-conversational" a massive collection of discussion boards messages in the Italian language. The large size of the corpus,...
arXiv:2602.14831v1 Announce Type: new Abstract: Navigating large and complex indoor environments, such as universities, airports, and hospitals, can be cognitively demanding and requires attention and...
arXiv:2602.14832v1 Announce Type: new Abstract: Linear codes over finite fields parameterized by functions have proven to be a powerful tool in coding theory, yielding optimal...
arXiv:2602.14834v1 Announce Type: new Abstract: Human eye movements in visual recognition reflect a balance between foveal sampling and peripheral context. Task-driven hard-attention models for vision...
arXiv:2602.14837v1 Announce Type: new Abstract: Short Term object-interaction Anticipation consists in detecting the location of the next active objects, the noun and verb categories of...
arXiv:2602.14844v1 Announce Type: new Abstract: AI alignment is growing in importance, yet current approaches suffer from a critical structural flaw that entangles the safety objectives...
arXiv:2602.14846v1 Announce Type: new Abstract: We propose a multi-dimensional persistent sheaf Laplacian (MPSL) framework on simplicial complexes for image analysis. The proposed method is motivated...
arXiv:2602.14849v1 Announce Type: new Abstract: LLM agents increasingly act on external systems, yet tool effects are immediate. Under failures, speculation, or contention, losing branches can...
arXiv:2602.14850v1 Announce Type: new Abstract: The problem of allocating indivisible resources to agents arises in a wide range of domains, including treatment distribution and social...
arXiv:2602.14853v1 Announce Type: new Abstract: The traditional limitations of neural networks in reliably generalizing beyond the convex hulls of their training data present a significant...
arXiv:2602.14854v1 Announce Type: new Abstract: In this paper, we propose a domain decomposition dynamical low-rank method to solve high-dimensional radiative transfer problems and similar kinetic...
arXiv:2602.14855v1 Announce Type: new Abstract: Clustering algorithms are an essential part of the unsupervised data science ecosystem, and extrinsic evaluation of clustering algorithms requires a...
arXiv:2602.14857v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently shown strong reasoning and generalization capabilities, motivating their use as decision-making policies in complex...
arXiv:2602.14858v1 Announce Type: new Abstract: Strategic-form min-max game theory examines the existence, multiplicity, selection of equilibria, and the worst-case computational complexity under perfect rationality. However,...
arXiv:2602.14865v1 Announce Type: new Abstract: Most web agents operate at the human interface level, observing screenshots or raw DOM trees without application-level access, which limits...
arXiv:2602.14868v1 Announce Type: new Abstract: Reinforcement learning has emerged as a powerful paradigm for unlocking reasoning capabilities in large language models. However, relying on sparse...