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 · 301–310 / 438
This paper reframes episodic Markov decision process planning as Bayesian inference over policies, introducing a variational sequential Monte Carlo method to approximate the posterior distribution of optimal behaviors and enable stochastic control through posterior predictive sampling rather than entropy regularization.
This paper proposes a prediction decomposition framework that identifies within-unit-across-time prediction accuracy as a superior structural proxy for counterfactual treatment effects, offering a new diagnostic metric and model-selection strategy to improve causal inference using machine learning predictions.
MAJEC is a unified, fast Expectation-Maximization framework that accurately quantifies genes, isoforms, and individual transposable element loci from RNA-seq data by leveraging splice junction evidence to resolve read overlaps, thereby significantly reducing false attribution artifacts compared to existing tools like TEtranscripts and Telescope.
This paper proposes a ternary quantum eraser cryptography protocol that overcomes the inherent 85% security vulnerability of binary implementations by utilizing three polarization states and randomized temporal ordering to reduce an eavesdropper's maximum success probability to 54% while maintaining competitive efficiency.
This study utilizes picosecond acoustic strain pulses generated by femtosecond lasers to successfully probe the magnetic dimensional crossover in the van der Waals ferromagnet CrSiTe by detecting subtle spin-fluctuation-induced lattice responses and ultrafast carrier dynamics, thereby overcoming previous experimental limitations in observing this transition.
This paper attempts to revive Chaitin's Heuristic Principle for weighing theories while demonstrating that Chaitin's constant Omega is not a halting probability under any infinite discrete measure, subsequently proposing alternative methods for defining halting probabilities.
Kathleen is a highly efficient, parameter-minimal text classification architecture that achieves state-of-the-art performance on standard benchmarks by processing raw UTF-8 bytes directly in the frequency domain using novel components like RecurrentOscillatorBanks and PhaseHarmonics, thereby eliminating the need for tokenization, attention mechanisms, and large embedding tables.
This paper provides a structural explanation for the success and failure of the Bethe Ansatz by identifying interaction propagation as the governing mechanism, where exact solvability arises when propagation terminates finitely without encountering structural boundaries, while its breakdown occurs when such boundaries generate irreducible interaction data that prevent finite factorization.
This paper presents a consistently parameterized electrochemical-thermal-degradation model using PyBaMM to predict the capacity fade, state-of-health, and remaining useful life of NMC lithium-ion cells under 81 distinct calendar and cyclic ageing conditions, thereby providing mechanistic insights into the competing effects of solid-electrolyte interphase growth, lithium plating, and active material loss.
This paper evaluates the capability of the AI-powered IDE Cursor to generate large-scale software projects using a Feature-Driven Human-In-The-Loop framework, finding that while the tool achieves high functional correctness, the resulting systems frequently exhibit significant design issues—such as code duplication and complexity violations—that threaten long-term maintainability and require experienced developer review.