Dynamical correlations in a dissipative XXZ spin chain preserve early-time transport universality classes (ballistic, KPZ, diffusive) with magnon ballistic features at finite magnetization, but acquire exponential damping at long times under Lindblad evolution.
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18 Pith papers cite this work. Polarity classification is still indexing.
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gr-qc 2 stat.ML 2 astro-ph.HE 1 cond-mat.mes-hall 1 cond-mat.quant-gas 1 cond-mat.str-el 1 cs.AI 1 cs.CE 1 cs.DS 1 cs.LO 1years
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A classification of admissible energy density profiles with bounded Kretschmann scalar yields a unified framework for regular static spherically symmetric spacetimes satisfying the weak energy condition, recovering known models and producing new families with hypergeometric and other closed forms.
An intrinsic effective sample size for manifold MCMC is defined via kernel discrepancy as the number of independent draws yielding equivalent expected squared discrepancy to the target.
Citation Seeder generates realistic synthetic citation networks with communities using the Price-Pareto model and up to four orders of magnitude fewer parameters than baselines.
ULLER's three independent semantics are unified as instances of monads, enabling modular addition of new semantics and translations between them.
Quantized collective spin and charge modes persist in 1 nm confined segments of WSe2 mirror twin boundaries, forming many-body quantum dots whose spectra arise from bosonic modes rather than single-particle states.
An amortized variational framework jointly targets the posterior and posterior-predictive distributions via a KL upper bound and moment regularization, yielding more accurate predictions at lower online cost than two-stage variational inference.
Isabelle/HOL proofs establish conservation, monotonicity, compartment bounds, and threshold conditions for the SIR ODE by bridging AFP local flows to global forward solutions with reusable scalar lemmas.
Success bias in collective theory-building leads to systematic overestimation of theory quality, narrower search, and paradoxically lower performance when agents optimize for apparent success.
A global perturbative potential for the Coulomb branch is derived via zeta regularization of D-terms from KK modes in R^3 x S^1 compactifications of 4d N=1 theories.
Quantum droplets in BEC mixtures fragment to lower free energy, with 3D droplets splitting under strong interspecies interactions near the minimum atom number and 1D droplets fragmenting unless interactions are similar and density high, expelling atoms at higher temperatures while leaving persistent
A CNN framework using response functions from gravitational wave mismatches classifies signals as GR or beyond-GR with 33 times better sensitivity than raw waveforms and detects massive gravity deviations at graviton masses around 10^{-23} eV/c².
Monotonic Basin Hopping outperforms MultiStart for locating lower-energy ground states in the random field XY model after reformulating the Hamiltonian on spheres for Riemannian optimization.
In neutrino oscillations treated as open quantum systems, coherence outlasts steering and negativity under amplitude damping, phase flip, and phase damping, showing memory-induced revivals in non-Markovian regimes.
DATO and QMDA represent substantially different assimilation paradigms with distinct advantages and limitations in interpretability, robustness, and scalability.
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Dynamical correlations in a dissipative XXZ spin chain
Dynamical correlations in a dissipative XXZ spin chain preserve early-time transport universality classes (ballistic, KPZ, diffusive) with magnon ballistic features at finite magnetization, but acquire exponential damping at long times under Lindblad evolution.
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A process-based dynamic occupancy model to study range dynamics under non-equilibrium conditions
A new process-based dynamic occupancy model with dispersal-pressure colonization and sparse matrices enables large-scale study of range dynamics and disentangles dispersal from habitat effects in non-equilibrium conditions.
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An $\widetilde{O} (n^{3/7})$ Round Parallel Algorithm for Matroid Bases
A new algorithm finds a matroid basis in tilde O(n to the 3/7) adaptive rounds via independence oracle.
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Families of regular spacetimes and energy conditions
A classification of admissible energy density profiles with bounded Kretschmann scalar yields a unified framework for regular static spherically symmetric spacetimes satisfying the weak energy condition, recovering known models and producing new families with hypergeometric and other closed forms.
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Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
An intrinsic effective sample size for manifold MCMC is defined via kernel discrepancy as the number of independent draws yielding equivalent expected squared discrepancy to the target.
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Generating Synthetic Citation Networks with Communities
Citation Seeder generates realistic synthetic citation networks with communities using the Price-Pareto model and up to four orders of magnitude fewer parameters than baselines.
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NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework
ULLER's three independent semantics are unified as instances of monads, enabling modular addition of new semantics and translations between them.
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Collective quantum state at the atomic limit
Quantized collective spin and charge modes persist in 1 nm confined segments of WSe2 mirror twin boundaries, forming many-body quantum dots whose spectra arise from bosonic modes rather than single-particle states.
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Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
An amortized variational framework jointly targets the posterior and posterior-predictive distributions via a KL upper bound and moment regularization, yielding more accurate predictions at lower online cost than two-stage variational inference.
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Certified Qualitative Analysis of the SIR ODE and Reusable Scalar Lemmas in Isabelle/HOL
Isabelle/HOL proofs establish conservation, monotonicity, compartment bounds, and threshold conditions for the SIR ODE by bridging AFP local flows to global forward solutions with reusable scalar lemmas.
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Nothing Deceives Like Success: Social Learning and the Illusion of Understanding in Science
Success bias in collective theory-building leads to systematic overestimation of theory quality, narrower search, and paradoxically lower performance when agents optimize for apparent success.
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Perturbative Coulomb branches on $\mathbb{R}^3\times S^1$: the global D-term potential
A global perturbative potential for the Coulomb branch is derived via zeta regularization of D-terms from KK modes in R^3 x S^1 compactifications of 4d N=1 theories.
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Fragmentation Temperature of 1D and 3D Quantum Droplets in a BEC Mixture
Quantum droplets in BEC mixtures fragment to lower free energy, with 3D droplets splitting under strong interspecies interactions near the minimum atom number and 1D droplets fragmenting unless interactions are similar and density high, expelling atoms at higher temperatures while leaving persistent
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Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework
A CNN framework using response functions from gravitational wave mismatches classifies signals as GR or beyond-GR with 33 times better sensitivity than raw waveforms and detects massive gravity deviations at graviton masses around 10^{-23} eV/c².
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Nonconvex optimization methods for ground states in disordered continuous-spin models
Monotonic Basin Hopping outperforms MultiStart for locating lower-energy ground states in the random field XY model after reformulating the Hamiltonian on spheres for Riemannian optimization.
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Dephasing Effects on the Dynamical Evolution of Quantum Correlations and Coherence in Neutrino Oscillations
In neutrino oscillations treated as open quantum systems, coherence outlasts steering and negativity under amplitude damping, phase flip, and phase damping, showing memory-induced revivals in non-Markovian regimes.
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From Classical to Quantum-Mechanical Data Assimilation: A Comparison between DATO and QMDA
DATO and QMDA represent substantially different assimilation paradigms with distinct advantages and limitations in interpretability, robustness, and scalability.
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Gravitational Lensing of Gravitational Waves from Astrophysical Sources: Theory, Detection, and Applications
A review of gravitational lensing of astrophysical gravitational waves, outlining theory in geometric and wave optics, identification methods, predicted rates, and applications to dark matter and cosmology.