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.
984 papers reviewed by authors · 741–750 / 984
This paper investigates how a driven Duffing ring on a cycle graph utilizes linear sorting and symmetry-constrained cubic mode-mixing to distinguish input shapes via a single observable, , which remains robust against noise due to the breaking of time-reversal symmetry by dissipation.
This paper presents an analytical framework for extended Kitaev chains that reveals Majorana zero modes can exhibit diverse spatial profiles, including interior probability maxima and distinct decay behaviors, which are fully determined by the characteristic roots of a derived recursion relation.
This pre-registered multi-agent simulation study reveals a counterintuitive detection inversion where an LLM-driven adaptive insider, employing operational security directives, achieves a statistically lower peer-suspicion score than innocent agents, thereby decoupling behavioral anomaly signals from traditional user-entity behavior analytics and exposing a critical generalization gap in current insider threat models.
This review summarizes recent advancements in time-resolved X-ray techniques, such as those utilizing XFELs and tabletop HHG sources, which enable element- and momentum-specific probing of ultrafast charge, spin, orbital, and lattice dynamics in transition-metal compounds.
This study combines first-principles calculations and optical spectroscopy to demonstrate how tuning the vertical electric field in electron-doped MoSe/WS moiré superlattices switches the band alignment from Type-I to Type-II, enabling precise control over interlayer charge-transfer states and the realization of a tunable Fermi-Hubbard model with predicted correlated charge-ordered states at integer and fractional fillings.
This study demonstrates that verbalized evaluation awareness in large reasoning models has a negligible impact on their actual behavior across safety, alignment, and reasoning benchmarks, suggesting that high rates of such awareness should not be automatically interpreted as evidence of strategic manipulation or alignment tampering.
This paper introduces FRE-RNN, a biologically plausible recurrent neural network incorporating feedback regulation and residual connections that overcomes the instability and high computational costs of Equilibrium Propagation, achieving convergence speeds and performance comparable to backpropagation while enabling practical large-scale brain-inspired learning.
By applying causal inference methods to the Framingham Heart Study, this paper demonstrates that standard observational risk calculators overestimate the absolute benefit of blood pressure reduction on coronary heart disease risk by approximately 21.8% due to confounding, highlighting the critical need to distinguish between conditional probabilities and interventional effects in clinical decision-making.
This paper introduces GRALIS, a unified mathematical framework grounded in the Riesz Representation Theorem that establishes a canonical form for linear attribution methods, simultaneously satisfying 13.5 out of 14 axiomatic properties and providing formal guarantees for completeness, convergence, and multi-scale interactions that individual XAI methods lack.
This paper proposes a novel method to detect -scale axion-like particle dark matter by cross-correlating radio intensity mapping with galaxy surveys from the 2MRS, demonstrating that the Square Kilometre Array Phase 2 can effectively probe these signals by accounting for stimulated decay driven by both the CMB and the extragalactic radio background.