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◬ AI & Machine Learning
CUBE: A Standard for Unifying Agent Benchmarks

arXiv:2603.15798v1 Announce Type: new Abstract: The proliferation of agent benchmarks has created critical fragmentation that threatens research productivity. Each new benchmark requires substantial c…

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◬ AI & Machine Learning
Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego

arXiv:2603.15799v1 Announce Type: new Abstract: Prose2Policy (P2P) is a LLM-based practical tool that translates natural-language access control policies (NLACPs) into executable Rego code (the policy…

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◬ AI & Machine Learning
Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.1

arXiv:2603.15831v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents in uncertain, sequential decision-making contexts. Yet it remains poorly und…

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◬ AI & Machine Learning
Algorithmic Trading Strategy Development and Optimisation

arXiv:2603.15848v1 Announce Type: new Abstract: The report presents with the development and optimisation of an enhanced algorithmic trading strategy through the use of historical S&P 500 market data …

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◬ AI & Machine Learning
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models

arXiv:2603.15857v1 Announce Type: new Abstract: Behavioral Foundation Models (BFMs) produce agents with the capability to adapt to any unknown reward or task. These methods, however, are only able to …

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◬ AI & Machine Learning
Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure

arXiv:2603.15885v1 Announce Type: new Abstract: Critical infrastructure increasingly incorporates embodied AI for monitoring, predictive maintenance, and decision support. However, AI systems designed…

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◬ AI & Machine Learning
AsgardBench - Evaluating Visually Grounded Interactive Planning Under Minimal Feedback

arXiv:2603.15888v1 Announce Type: new Abstract: With AsgardBench we aim to evaluate visually grounded, high-level action sequence generation and interactive planning, focusing specifically on plan ada…

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◬ AI & Machine Learning
Prompt Engineering for Scale Development in Generative Psychometrics

arXiv:2603.15909v1 Announce Type: new Abstract: This Monte Carlo simulation examines how prompt engineering strategies shape the quality of large language model (LLM)--generated personality assessment…

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◬ AI & Machine Learning
Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium

arXiv:2603.15929v1 Announce Type: new Abstract: We present a complete Lean 4 formalization of the equilibrium characterization in the Vlasov-Maxwell-Landau (VML) system, which describes the motion of …

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◬ AI & Machine Learning
Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us

arXiv:2603.15946v1 Announce Type: new Abstract: Computational argumentation offers formal frameworks for transparent, verifiable reasoning but has traditionally been limited by its reliance on domain-…

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◬ AI & Machine Learning
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents

arXiv:2603.15952v1 Announce Type: new Abstract: Large language models (LLMs) are capable of emulating reasoning and using tools, creating opportunities for autonomous agents that execute complex scien…

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◬ AI & Machine Learning
Optimizing Hospital Capacity During Pandemics: A Dual-Component Framework for Strategic Patient Relocation

arXiv:2603.15960v1 Announce Type: new Abstract: The COVID-19 pandemic has placed immense strain on hospital systems worldwide, leading to critical capacity challenges. This research proposes a two-par…

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◌ Quantum Computing
Schr\"{o}dinger-picture formulation of a scalar quantum field driven by white noise

arXiv:2603.15704v1 Announce Type: new Abstract: We develop a Schr\"{o}dinger-picture formulation for a scalar quantum field driven by a Lorentz-invariant white-noise field. The quantum state of the sy…

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◌ Quantum Computing
Quantum Fisher information and quadrature squeezing in Janus superpositions of squeezed vacua

arXiv:2603.15720v1 Announce Type: new Abstract: Janus states, defined as coherent superpositions of two single-mode squeezed vacua, provide a simple but genuinely non-Gaussian setting for studying how…

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◌ Quantum Computing
Solving approximate hidden subgroup problems: quantum heuristics to detect weak entanglement

arXiv:2603.15733v1 Announce Type: new Abstract: How can we use a quantum computer to detect the entanglement structure of a quantum state? Bouland et al. (2024) recently provided an algorithm that, gi…

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◌ Quantum Computing
Entanglement advantage in sensing power-law spatiotemporal noise correlations

arXiv:2603.15742v1 Announce Type: new Abstract: Noise sensing underlies many physical applications including tests of non-classicality, thermometry, verification of correlated phases of quantum matter…

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◌ Quantum Computing
Redundancy from Subsystem Thermalization

arXiv:2603.15743v1 Announce Type: new Abstract: In the theory of decoherence, redundancy is the correlation between a quantum system and fractions of the environment. It underlies the emergence of cla…

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◌ Quantum Computing
Post-selected Criticality in Measurement-induced Phase Transitions

arXiv:2603.15744v1 Announce Type: new Abstract: Information-theoretic phase transitions, such as the measurement-induced phase transition (MIPT), characterize the robustness of quantum dynamics to loc…

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◌ Quantum Computing
Can quantum fluctuations be consistently monitored?

arXiv:2603.15753v1 Announce Type: new Abstract: Recent works on the decoherent histories formalism suggested that macroscopic quantities (extensive sums of local observables) in quantum many-body syst…

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◌ Quantum Computing
Optimization of the HHL Algorithm

arXiv:2603.15756v1 Announce Type: new Abstract: The Harrow-Hassidim-Lloyd (HHL) algorithm is a quantum algorithm for solving systems of linear equations that, in principle, offers an exponential impro…

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◌ Quantum Computing
Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets

arXiv:2603.15758v1 Announce Type: new Abstract: We introduce crosstalk-robust gate sets, which are obtained using a novel, scalable optimal control problem exploiting locality. Through the suppression…

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◌ Quantum Computing
A fault-tolerant encoding for qubit-controlled collective spins

arXiv:2603.15760v1 Announce Type: new Abstract: Quantum error correction (QEC) is indispensable for scalable quantum computing, but implementing it with minimal hardware overhead remains a central cha…

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◌ Quantum Computing
Latent symmetry in a minimal non-Hermitian trimer

arXiv:2603.15768v1 Announce Type: new Abstract: We study a minimal non-Hermitian trimer with latent symmetry formed by a cospectral pair of sites embedded in a three-site network with nonreciprocal co…

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◌ Quantum Computing
Almost-iid information theory

arXiv:2603.15792v1 Announce Type: new Abstract: Information-theoretic techniques are based on the assumption that resources are well characterized by independent and identically distributed (iid) stat…

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