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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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Why LLM Agents Favor Their Group: Stakes, Observed Norms, and Reputation
Language-model agents favor their own group because they have watched their members favor each other.A Finite Bid--Ask Spread from Replenishment Displaced from the Quote
We give a unified analytic account of a finite bid--ask spread in a two-field reaction--diffusion order book.An evolutionary origin of collective decision making in humans and machines
Groups of individuals can solve collective problems more accurately than any single member, by aggregating their opinions.FLAT: Smoothing the Rugged Landscape for Learnable, Sample-Efficient Traffic Calibration
Calibrating microscopic traffic models for digital twins is an expensive black-box optimization problem: tuning car-following and lane-changing parameters requires a full simulation run, affording…All against the machine: the Solo score for rating skill in variable environments
We propose a distribution-free metric to rate individual skill in ``player-versus-environment'' settings, where participants face heterogeneous tasks without direct opponents.Performance of Zero-determinant Strategies in Repeated Games without Discounting
Zero-determinant (ZD) strategies are a class of strategies in repeated games, which unilaterally control payoffs.Peer Influence across Heterogeneous AI Models
When two AI agents disagree, who persuades whom?Evaluating LLM-Generated Preference Distributions
Large Language Models (LLMs) are increasingly used as probabilistic generators for simulation, synthetic data generation, and decision support in settings where real-world data are unavailable.A Hilbert-Space Analogy for Sexual Orientation and Gender Identity
We introduce a finite-dimensional state-space representation of bisexuality in Dirac notation, specify normalized amplitude weights, and analyze the limits of inference from one single observation.Travel Mode- and Purpose-Specific Origin-Destination Matrices for England and Wales from Fused Travel Survey and Mobile Network Data
Origin-destination (OD) matrices sit behind much of quantitative transport planning, from model calibration and accessibility analysis to the appraisal of new services and development.An LLM-powered Agent Framework for Heterogeneous Evacuation Behavior Modeling under a Moving Threat in a Public Plaza
Modeling heterogeneous evacuation behavior under a moving threat is difficult because human perception, memory, and evidence evaluation are not well captured by fixed rules.Multi-agent discussion gains less when dissent is withheld
Multi-agent systems of LLMs add discussion to majority voting and are therefore expected to be more capable.Doc2LoRA Provides Decodable Representations of Scientific Ideas
Representing scientific papers as points in a space lets us search for similar papers and inquire about how fields relate to one another and drive innovation.Hybrid epidemic simulation framework coupling equation-based and individual-based models
Mass gathering events like concerts, sports matches, and festivals bring many people into close contact within a short period, creating localized bursts of infection that can shape epidemic outcomes…A technological capability scale for civilizations from the Kardashev and Barrow scales
We introduce a technological capability scale that ranks civilizations by the control operations they can perform per second.A citizen science behavioural dataset of an urban collective-risk dilemma on air pollution mitigation under resource inequality
This article describes a behavioural dataset from a collective-risk dilemma public experiment carried out in Barcelona, Spain, within the citizen science \textit{xAire} air quality project.Group dynamics of engagement with AI topics on Bluesky
Social media increasingly shapes everyday life, serving as both a central venue for discussion of major events and a space where online collective behavior can spill over into real-world activity…Editable Map-Conditioned Trajectory Generation for Human Mobility Simulation
Geospatial simulation of infrastructure interventions requires mobility generators that respond directly to edited maps, yet many data-driven generators do not expose the map as an editable condition.Warned alike, AI agents avoid the less-crowded road while people take it
AI agents built on a few shared models increasingly act for many people.AlphaEarth distinguishes cities but compresses urban variation
Cities differ in built form, land cover and development history, complicating comparison across places and time.