Condensed Matter · Physics & Astronomy
Statistical Mechanics
The newest papers in Statistical Mechanics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
331 papers, from 31 August 2026 to 5 November 2026: 302 arXiv preprints and 29 OpenAlex records.
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Newest papers, page 16
Automated search for highly contextual Kochen-Specker proofs
Observable-based Kochen-Specker proofs are configurations of multi-qubit Pauli observables grouped into contexts whose products are plus or minus the indentity.Flag Game: A Toy Model for Mechanistic Swarm Interpretability
Emergent coordinated behaviors of AI agents are starting to present critical safety risks.Schwinger stability of T-duality-inspired extremal black holes
We study the near-horizon charged-scalar instability associated with Schwinger pair production in the charged regular black hole geometry of the zero-point-length T-duality prescription.Machine learning kinetics from molecular dynamics data
Most molecular transitions occur on timescales far beyond direct molecular dynamics simulations.Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning
The last decade has seen the development of powerful methods for learning complex structure from high-dimensional data.Nonlinear dynamics of random neural networks with second-order synaptic motifs
Classical theories of random neural networks typically assume independent connectivity, overlooking the local motif structures prevalent in biological circuits.Event-Time Order-Flow Memory, Operational-Time Impact, and Subordinated Market Observables
We consider two canonical market-microstructure regularities: the long-memory of trade signs and the square-root law of meta-order impact.Might the radiation era extend back to the Big Bang? On dark matter production and the relic graviton background in quadratic gravity
Naive estimates based on Einstein gravity with Lagrangian $\frac{1}{2}M_{pl}^{2}(R-2Λ)$ suggest that, if the radiation era extended back to the Big Bang (i.e., as far back as the classical spacetime…Non-equilibrium dissipative stabilization of s- and d-wave superconductivity
Stabilizing superconductivity beyond its equilibrium regime has been one of the quests of nonequilibrium state engineering.Speed Limit for Information Acquisition in Stochastic Learning Dynamics
Neural networks acquire internal representations through learning.Copying explains the collective behavior of AI agents in the wild
In June 2026, thousands of AI agents found that a small public wiki would accept edits from inside their sandboxes, and started using it to help one another pass a timed test.Human mutation field reveals an equilibrium-like structure with irreversible circulation
The evolution of DNA sequences can be viewed as stochastic dynamics on a high-dimensional discrete space, but it is unclear when empirical transition biases reduce to an effective energy landscape…Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem
The recently proposed Microcanonical Hamiltonian Monte Carlo algorithm has not yet been studied in detail from a thermodynamic point of view; this work aims to fill that gap.Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference
The concept of Markov chain Monte Carlo (MCMC) cycles, an analogy to cyclic processes in heat engines, is presented in order to examine Bayesian inference problems.Matter-induced global regularity in non-polynomial quasi-topological gravity with Born-Infeld electrodynamics
We construct exact static, spherically symmetric charged solutions in four-dimensional non-polynomial quasi-topological gravity coupled to Born-Infeld electrodynamics.The Spectral Skeleton of Chaos: Koopman Wave Packets on Poincaré Sections
A Poincaré section replaces a flow by a return map, but for a chaotic system this map is usually known only from sampled crossings.Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy
Overparameterized neural networks carry far more hidden units than a task nominally requires, raising the question of which neurons are essential and whether that distinction is legible in the…Ancilla mediated steady-state engineering in open quantum systems
Engineering the properties of a reservoir and its coupling to a quantum system is a powerful tool for simulating quantum thermodynamic processes and for generating otherwise inaccessible steady…Fisher Information Dynamics: A Kinematic Framework for Phase Space Ordering with Applications to Shock Layers and Turbulence
Order here denotes the sharpness of probability-density gradients as quantified by Fisher information, distinct from thermodynamic order parameters.Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
Tabular foundation models (TFMs) learn to fill in tables the way language models fill in text --- and tables are arguably the format in which most physical measurement arrives.