3171 papers
Hep-Th, or high-energy theoretical physics, explores the fundamental building blocks of our universe and the forces that govern them. Researchers in this field use complex mathematics to understand everything from subatomic particles to the behavior of black holes, often pushing the boundaries of what we know about space and time.
At Gist.Science, we monitor the arXiv repository to ensure you stay ahead of the curve in this rapidly evolving discipline. For every new preprint uploaded to arXiv under this category, our team generates both accessible plain-language overviews and detailed technical summaries, making cutting-edge research understandable regardless of your background.
Below are the latest papers in high-energy theoretical physics, curated to help you navigate the most significant recent discoveries.
This paper demonstrates that the effective field theory of D0-brane bound states derived from BFSS matrix theory is super-renormalizable and admits vertex-like operators whose correlation functions exhibit soft factorization at both leading and subleading orders, thereby reproducing supergraviton interactions in eleven-dimensional target space.
This paper proposes an operator generalization of the Li-Haldane conjecture to demonstrate that chiral gapped states are universally non-topological, revealing universal corner entanglement properties and a conformal geometry that obstruct gapped boundaries while offering a new explanation for the modular commutator formula.
Motivated by the pseudo-entropy program, this paper extends the holographic Complexity-equal-Volume framework to timelike subregions in AdS and black brane geometries, demonstrating that the resulting timelike complexity remains purely real with universal UV divergences, thereby distinguishing its geometric nature from the complex-valued pseudo-entropy.
This paper presents the complete metric transformations from generalized harmonic to Newman-Unti coordinates up to the second post-Minkowskian order, enabling the determination of the asymptotic shear, Bondi mass aspect, and angular-momentum aspect at both orders.
This paper computes the classical one-loop gravitational Compton amplitude for graviton scattering off a massive spinning compact object at the second post-Minkowskian order up to quartic spin and hexadecapolar finite-size effects, deriving the corresponding scattering phase and explicitly linking the spin-independent contribution to a massless scalar probe in a Kerr background.
This paper investigates the shear viscosity to entropy density ratio in a four-dimensional AdS black brane with a quadratic Ricci scalar correction, revealing that the ratio violates the universal KSS bound for positive coupling constants while raising important questions regarding the stability and causality of the dual field theory.
This paper utilizes analytic bootstrap methods to define and characterize diagonal boundaries in critical loop models via a complex parameter, deriving explicit formulas for disc correlation functions and demonstrating that specific parameter values yield discrete spectra of degenerate representations, while also providing a lattice interpretation where loops cannot terminate or change weight upon touching such boundaries.
This paper demonstrates that utilizing the special conformal generator within the fuzzy sphere framework to identify Ising CFT primary states—distinguished by an gap from descendants—enables more accurate extrapolation of OPE coefficients to the continuum limit compared to previous methods.
This paper establishes non-perturbative and perturbative stability constraints on nonequilibrium renormalization group flows by demonstrating that conditional mutual information serves as a monotonic scaling function and provides bounds for symmetry-breaking states under quantum channels.
This paper proposes a research agenda for "scale-aware interpretability" that adapts the renormalization framework from statistical physics to develop formal tools capable of providing worst-case guarantees on neural network behavior by explicitly tracking how features compose across different resolutions.