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.
438 papers reviewed by authors · 61–70 / 438
This paper demonstrates that Large Hadron Collider limits can be efficiently incorporated into online global fits of the phenomenological Minimal Supersymmetric Standard Model by using symbolic regression to derive fast, accurate mathematical approximations of ATLAS exclusion constraints.
This paper investigates the universality of the entanglement viscosity to entropy density ratio for spin-3/2 fields within the Rarita-Schwinger-Adler theory, revealing that while both quantities can be negative (yielding a KSS-bound-saturating ratio), a Zubarev density operator approach confirms a positive entropy, thereby clarifying the origin of the negativity and highlighting the theory's conformal field theory features.
This paper proposes a minimal mechanism where coupling dark photons with standard photons generates primordial magnetic fields of approximately G, effectively overcoming the strong-coupling and backreaction problems that plague conventional nonminimal inflaton-electromagnetic field models.
The paper proposes From Parameters to Data (P2D), a unified framework that leverages task-sensitive attention heads to simultaneously guide data selection and parameter-efficient fine-tuning, achieving significant performance gains and a 7.0x speedup by synchronizing parameter updates with high-affinity data subsets.
This paper introduces "Scene Abstraction," a framework that uses large language models to generate structured representations of the situated contexts and affective associations of words, validated by a new dataset (COCA-Scenes) and experiments demonstrating its superior alignment with human interpretation compared to existing embedding and knowledge-base approaches.
This paper demonstrates that despite challenges with cultural nuances and slang, LLM-based machine translation effectively preserves subtle moral cues in Polish social media data, enabling cost-effective cross-lingual moral values research through high semantic similarity and minimal performance gaps in downstream classification tasks.
This paper derives exact analytical expressions for the voltage induced in a two-conductor dielectric-insulated transmission line of arbitrary cross-section by a monochromatic plane wave, utilizing radiation-absorption reciprocity and validating the results against ANSYS HFSS simulations.
This paper extends a systematic method for designing azimuthally modulated RF cavities to practical implementation by deriving analytical expressions for field multipole components and momentum changes, validating them against 3D simulations and beam dynamics studies, and demonstrating their application in creating both multipole-free accelerating structures and cavities that transform beam distributions from Gaussian to uniform.
This paper reveals that injection detectors in multi-agent LLM systems suffer from a significant "Camouflage Detection Gap," failing to identify attacks that mimic domain-specific vocabulary and authority structures, which causes detection rates to plummet and exposes a critical architectural vulnerability in safety mechanisms.
This paper identifies and addresses mathematical errors and citation improprieties found in S.-E. Han's previous corrigendum regarding pseudocovering spaces in digital topology.