Papers where the original authors have engaged with our plain-language explanation.
For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.
949 papers reviewed by authors · 381–390 / 949
This paper introduces DSpinGNN, a physics-informed equivariant graph neural network that accurately predicts dynamic magnetic exchange couplings in strain-deformed monolayer CrI, enabling large-scale simulations that reveal mesoscopic exchange textures and domain wall behaviors inaccessible to traditional first-principles methods.
This paper introduces a novel, distribution-based mathematical framework that evaluates human genome assembly accuracy in repetitive centromeric regions by comparing inter-motif distances via KL divergence, offering a robust alternative to traditional sequence alignment methods.
This paper proposes "fixed-query oscillator attention," a hardware-efficient alternative to softmax that leverages Kuramoto synchronization dynamics in coupled oscillator networks to implement attention via physical equilibration, demonstrating competitive performance on energy-constrained substrates while offering a mathematically grounded blueprint for physical AI.
This paper demonstrates that the apparent singularities in gravity at critical coupling surfaces where are merely artifacts of the equation's formulation, revealing instead regular fundamental equations that define gravitational screening boundaries separating attractive and repulsive phases while obstructing a global Einstein-frame description.
This paper proposes a modular quantization framework for deformed CFTs that constructs type-I and type-III von Neumann algebras to describe black hole microstructures, demonstrating how smooth BTZ horizons emerge in the semiclassical limit while revealing intrinsically non-smooth, stretched horizons with explicit microstructures at finite Newton's constant.
This paper experimentally demonstrates that self-pulsing dynamics in microring resonator networks can effectively process slow time-dependent signals from optical fiber sensors, thereby expanding signal retention and reducing the required digitization sampling rate by at least one order of magnitude.
This paper presents an exact solution to the relativistic finite-difference equation for the three-dimensional ring-shaped Quesne oscillator potential, deriving discrete energy spectra and wavefunctions expressed via continuous dual Hahn and Jacobi polynomials while establishing an SU(1,1) dynamical symmetry group for an algebraic determination of the spectrum.
This paper proposes a tuning-free, real-time lexicographic optimization framework for five-axis CNC feedrate planning that synchronously handles tool position and orientation while significantly reducing machining time through sparsity-exploiting formulations and sequential windowing.
This paper presents a two-step tutorial demonstrating how to derive the deterministic Kalman filter from the Linear Quadratic Regulator (LQR) by first converting the state estimation problem into a purely quadratic LQR formulation using homogeneous coordinates, and then partitioning the resulting solution to recover the traditional Kalman filter dynamics and Riccati equation.
This paper establishes a game-theoretic foundation for conscious access by modeling it as a strategic competition among internal modules for a broadcast slot, proving the existence and uniqueness of equilibria, characterizing conditions for competitive capture, demonstrating efficient computational convergence, and showing that smooth probabilistic access rules are structurally necessary to balance efficiency with robustness against perturbations.