Quantum gravity represents the frontier where the very large meets the very small, attempting to unify Einstein's theory of gravity with the strange rules of quantum mechanics. This field explores the fundamental fabric of spacetime, seeking to understand how the universe behaves at its most extreme scales, from the heart of black holes to the moment of the Big Bang. Because these concepts often involve complex mathematics, they can feel distant to non-specialists, yet they hold the key to a complete picture of physical reality.

At Gist.Science, we bridge this gap by processing every new preprint in this category directly from arXiv. Our team provides both plain-language explanations and detailed technical summaries for each paper, ensuring that groundbreaking research is accessible to everyone, from curious students to seasoned researchers. Below are the latest papers in quantum gravity, offering fresh insights into the nature of our cosmos.

⚛️ nuclear theory

Bayesian Analysis of the Neutron Star Equation of State and Model Comparison: Insights from PSR J0437+4715, PSR J0614+3329, and Other Multi-Physics Data

This study employs a comprehensive Bayesian analysis integrating terrestrial nuclear physics data with astrophysical observations from PSR J0437+4715, PSR J0614+3329, and GW170817 to constrain the neutron star equation of state, ultimately favoring the Skyrme model and yielding precise determinations of symmetry energy parameters and the radius and tidal deformability of a 1.4 solar mass neutron star.

Sk Md Adil Imam, N. K. Patra2026-02-19
⚛️ general relativity

A Universal CMB BB-Mode Spectrum from Early Causal Tensor Sources

This paper proposes a unified framework demonstrating that early causal tensor sources, such as phase transitions and topological defects, generate a universal k3k^3 tensor power spectrum that produces a distinct, small-scale-enhanced BB-mode signature in the cosmic microwave background, differentiating them from the scale-invariant predictions of inflation.

Kylar Greene, Aurora Ireland, Gordan Krnjaic, Yuhsin Tsai2026-02-19
⚛️ general relativity

Some phenomenological aspects of a quantum-corrected Reissner-Nordström black hole: quasi-periodic oscillations, scalar perturbations and thermal fluctuations

This paper investigates the phenomenological implications of a quantum-corrected Reissner-Nordström black hole by analyzing its orbital dynamics and quasi-periodic oscillations to constrain quantum parameters via observational data, while also examining scalar perturbations, greybody factors, and logarithmic thermal corrections to its entropy.

Faizuddin Ahmed, Ahmad Al-Badawi, Mohsen Fathi2026-02-19
⚛️ general relativity

Cosmic Hysteresis in Reconstructed f(T)f(T) Bounce Models A Torsion-Based Thermodynamic Perspective

This paper demonstrates that reconstructed f(T)f(T) gravity models featuring nonsingular bouncing cosmologies coupled to a scalar field naturally exhibit cosmic hysteresis, characterized by asymmetric thermodynamic work loops that provide a mechanism for the cosmological arrow of time.

Aritra Sanyal, Praveen Kumar Dhankar, Albert Munyeshyaka, Safiqul Islam, Farook Rahaman, Behnam Pourhassan2026-02-19
⚛️ general relativity

Power-Law Inflation in n-Dimensional Fractional Scalar Field Cosmology: Observational Constraints and Dynamical Analysis

This paper demonstrates that introducing a fractional order in scalar-field cosmology resolves the tension between power-law inflation's predicted tensor-to-scalar ratio and observational bounds by suppressing rr while preserving the scalar tilt, thereby establishing a stable, testable framework consistent with current CMB data.

Daniel Oliveira, Seyed Rasouli, Joao Marto, Paulo Moniz2026-02-19
⚛️ nuclear theory

Solving BDNK diffusion using physics-informed neural networks

This paper reformulates the relativistic BDNK diffusion equation in flux-conservative form and solves it in (1+1)(1+1)D using a second-order Kurganov-Tadmor scheme and a novel SA-PINN-ACTO framework, demonstrating that the neural network approach accurately reproduces finite volume solutions for smooth profiles while exhibiting expected errors near discontinuities.

Vicente Chomalí-Castro, Nick Clarisse, Nicki Mullins, Jorge Noronha2026-02-19