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Physics & Society
The newest papers in Physics & Society that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
81 papers, from 4 September 2026 to 5 November 2026: 81 arXiv preprints.
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Newest papers
A Sequential Framework for Urban Drone Delivery: Network Design, Vehicle Sizing, and Energy and Cost Assessment
A sequential engineering framework is presented for urban drone delivery, linking hub location, route planning, mission-specific vehicle sizing, and energy and operating cost assessment.Impact of Negative Weights on Performance in Reservoir Computing
Reservoir computing provides an efficient framework for time-series prediction because only the readout layer is trained while the recurrent reservoir remains fixed.A Cracked Mirror: How People Perceive Gender Performance by Large Language Models
How do large language models (LLMs) perform gender under zero-shot prompting, and how do people interpret those performances in conversation?Informing research priorities for distributed acoustic sensing: insights from a citizens' panel
This report presents findings from a Citizens' Panel convened by the SOUNDSCALE project (www.soundscale.ac.uk) to inform research priorities for distributed acoustic sensing (DAS).Modelling lock-in of AI adoption through skill erosion
Generative AI can improve immediate performance but may erode the human skills required for future work.Discovering hierarchical governing equations for community-structured complex network dynamics with LLM agents
Governing equations provide an interpretable description of the mechanisms underlying complex network dynamics, yet their discovery from observational data remains challenging when shared…Zero-shot time-series foundation models against the Khepri v1.5 baselines for 96-hour carbon-intensity forecasts in nine Nordic bidding zones: a preregistered comparison
We compare three zero-shot time-series foundation models (Timestral-5M, Timestral-209M and Chronos-2, 8192-hour context, no covariates) with the Khepri v1.5 SARIMA and GBM baselines, with their code…Labtune: Treating Lab Organization and Information Sharing as Experimental Variables in LLM-Agent Discovery
De-siloing can create groupthink; silos can prevent knowledge sharing and reduce research efficiency.Measuring Model-Specific Alignment Drift in LLM-Based Opinion Dynamics
Large language model (LLM) agents are increasingly used as synthetic participants in opinion-dynamics experiments, often assuming that an agent's behaviour is fully determined by its prompt.AgenticMobility: An Open-Source Platform for Multi-AI-Agent Mobility Dynamics
Understanding mobility dynamics and the effects of urban transportation management policies requires examining how individual travel decisions, traffic conditions, and policy interventions influence…Inferring missing locations in human mobility data using memory effects
Empirical datasets used to characterize human mobility are sparse in space and time, owing to technological factors such as coverage and battery, or to the erratic nature of online interactions.Understanding LLM-Based Bargaining of Driving Agents in Mixed-Autonomy Traffic
Large Language Models (LLMs) offer a flexible computational approach for modeling social interactions among heterogeneous agents.Recommendation Feedback Loops Shape Urban Income Segregation and Venue Visitation
Location-based recommender systems shape where people go in cities and learn from the visits they steer, forming a human-AI feedback loop.Exploring Collaborative Debating Models for the future of science
AI is expanding what researchers can produce.Early-Buyer Groups and Fast-Wallet Teams on a Bonding-Curve Launchpad: A Prospective Measurement Study of pump.fun on Solana
We study coordinated groups of wallets on a bonding-curve launchpad (pump.fun on Solana), using a complete record of 200\,443 token launches, 15\,854\,121 curve trades and 51\,025\,958 SOL transfers…Feedback autocratic strategies in stochastic games
A stochastic game is an optimal control problem for multiple agents in a stochastic environment.Neighborhood Deprivation Shapes Post-Flood Population Losses in Pune and Bandung
Disaster research in high-income settings shows that better-resourced communities see population inflows and faster recovery, while disadvantaged communities suffer prolonged population loss.Counterfactual assessment of social media interventions by separating exposure from engagement
Social media interventions are usually evaluated in individual-level experiments, which are costly to scale and often miss collective effects.Solitary movement style predicts collective foraging while whom to follow emerges only in company
How far can behaviour inside a group, and the group's performance, be predicted from members measured while alone?Perspective on AI and quantum open-source software
Quantum open-source software provides essential infrastructure for quantum science, and artificial intelligence (AI) is reshaping its capabilities and transforming its development.