Statistical & nonlinear physics
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- E = M = I: Energy Differential as Ontological Ground -- On the Physical Cost of Distinction and the Unity of Energy,Matter,and Information
- Snippet-Driven Supply Chain Discovery with LLMs: Scaling Visibility in China
- Random Initial Data and Average Shock Time in the Fermi-Pasta-Ulam-Tsingou Chain
- Wealth Thermalization Hypothesis and Social Networks
- Boltzmann–Loschmidt Dispute Reloaded: Quantum 150 Years Later
- Boltzmann Distribution from Invariance of Coarse-Graining-Scale and Energy-Shift
- Equivalent-neighbor k-core percolation in two dimensions
- First-passage time distribution of a Brownian particle harmonically confined in a viscoelastic bath
- ONE AXIOM : The Aim
- Hybrid modeling with attribution-guided symbolic enhancements of known physics: Applications to complex biological and engineering systems
- Rigor Over Hype: What Foundation Models Should Mean in Computational Science
- Contact selection chaos of two analytical Gömböcs under biharmonic vertical excitation
- Finite-Bath Memory, Markovianization, and Environmental Forgetting in Finite Distinction Systems: Side Records, Memory Kernels, and the Loss of Recoverable Distinctions
- Speed, Precision, and Dissipation Bounds for Boundary Maintenance in Finite Distinction Systems: Finite Update Windows, Bottleneck Throughput, and Resource-Ledger Exit Theorems
- Non-Gaussianity of random quantum states
- Importance of nuclear quantum effects on the structure of supercooled water around its liquid--liquid critical point
- Coarse-Grained Anti-Recurrence and Informational Hysteresis in Finite Memory Systems: Lost Preimages, Side Records, and Capacity-Recovery Asymmetry
- Boundary Maintenance and the Second Law under Finite Memory: Irreversible Record Reuse, Entropy Ledgers, and Operational Time Arrows
- Observer as a Finite Distinction Register: Measurement Capacity, Dynamic Bottlenecks, and Budget-Crossing Signatures
- Capacity Overflow, Effective Stochasticity, and Phase-B Invariants: Critical Deficit, Markov Closure, and Invariant Selection under Finite Projection
- KGMM: A K-means clustering approach to Gaussian mixture modeling for score function estimation
- Finite Distinguishability Budgets and Maintenance Bounds for Physical Observers
- NOWS: Neural Operator Warm Starts for accelerating iterative solvers
- Pretrain finite element method: A pretraining and warm-start framework for PDEs via physics-informed neural operators
- Hopfion XII - The Profile Normalisation Conjecture: Proof via CMB Energy Identity, Icosahedral Newton Series, and Two-Route Equivalence