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 · 51–60 / 438
This paper extends the holographic symmetry algebra for gravitons and gluons by demonstrating that conformally soft higher spin particles generate a subalgebra (and an -algebra for colored particles) that does not commute with the standard subalgebra, a result verified via tree-level MHV amplitudes and extended to non-zero cosmological constants.
This paper proposes a unified framework for personalized Agentic Reinforcement Learning that integrates Personalized Anchor Reward-Decoupled Policy Optimization (PARPO), a preference-disentangled reward model, and Preference-Aligned Skill Evolution Graph Memory (PSGM) to effectively address heterogeneous user preferences and improve agent performance across diverse planning and tool-use scenarios.
This paper proposes a formal framework and three complementary measures for quantifying database unfairness under differential privacy, offering privacy-preserving algorithms that effectively approximate non-private bias assessments while maintaining strong privacy guarantees.
This paper introduces BBO-Pile, the first large-scale open-source dataset containing over 500,000 optimization trajectories across 3,095 black-box functions, and demonstrates that foundation models trained on this data can effectively learn and imitate black-box optimization strategies through scalable pre-training.
This paper demonstrates that for resource-constrained single-label text classification, fine-tuning causal LLMs with a classification head on final-token embeddings is significantly more parameter-efficient than instruction tuning while achieving comparable or superior performance to both instruction-tuned LLMs and domain-specific BERT models.
Swarical is a swarm-based hierarchical localization technique that enables miniature Flying Light Specks to accurately and efficiently localize themselves and illuminate complex shapes by leveraging hardware-specific sensor data and heterogeneous orientations, achieving state-of-the-art accuracy with more than twice the speed of existing decentralized methods.
This study extends the classic Daisy World model to M-dwarf exoplanets through the lens of Semantic Information Theory, introducing an "information architecture" framework that quantifies the feedback between biosphere and environment to identify novel agnostic biosignatures for exoplanetary habitability.
This paper investigates the kinematic dependencies and polarization effects on the differential cross-section and double spin asymmetry of prompt photon production via bremsstrahlung in proton-proton collisions at NICA energies of GeV, noting that while this process constitutes a small fraction (0.03%) of the total prompt photon yield, it exhibits significant sensitivity to proton polarization at high transverse momenta.
This paper investigates the equation by combining combinatorial generalizations of Zumkeller numbers with advanced probabilistic number theory techniques to prove that the solution set has zero natural density with an explicit upper bound of , while also establishing conditional infinitude for the case under Schinzel's H Hypothesis.
This simulation study demonstrates that in linear regression with contaminated data, highly overparametrized least-squares interpolators can exhibit a double descent phenomenon, ultimately achieving superior generalization performance compared to robust alternative estimators.