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Showing 378930 results for "program evaluation"
Earth & Environmental Sciences Preprint PDF DOI

A Monte Carlo method for tracking dust properties during coagulation in protoplanetary disks

Nerea Gurrutxaga, Vignesh Vaikundaraman, Joanna Drazkowska ยท 2026

Dust growth is a crucial step in planet formation, and the efficiency of this process is controlled by the physical and chemical properties of the dust grains. Monte Carlo-based methods are commonly uโ€ฆ

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Physics Preprint PDF DOI

Galactic tides and the outer density profile of the Sculptor and Ursa Minor dwarf spheroidals

Daniel A. Boyea, Julio F. Navarro, Jaclyn Jensen, Raphael Errani ยท 2026

Most dwarf spheroidal (dSph) satellites of the Milky Way follow exponential surface density profiles that decline sharply in the outer regions. The Sculptor (Scl) and Ursa Minor (UMi) dSphs deviate frโ€ฆ

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Physics Preprint PDF DOI

SN Ia Population Machine. I. A Unified Cosmological Simulation-Binary Synthesis Framework Establishing Non-universal Delay-time Distributions and Cosmic Progenitor-channel Dominance Crossover

Suk-Jin Yoon, Inhyuk Park, Woong-Bae G. Zee, Chul Chung, Jun-Sung Moon, Sanjaya Paudel, Kiyun Yun, Myung-Hun Kim, Eun-Taek Gim ยท 2026

We present a forward-modeling framework for synthesizing Type Ia supernova (SN Ia) populations by coupling cosmological hydrodynamic simulations to binary population synthesis (BPS). Using IllustrisTNโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

ORCHARD: A General Planetary Evolution Code

Roberto Tejada Arevalo, Adam Burrows, Ankan Sur, Yubo Su ยท 2026

We present \texttt{ORCHARD}, a publicly available planetary evolution code based on the gas giant evolution code, \texttt{APPLE}, capable of modeling the evolution and structures of terrestrial, superโ€ฆ

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Physics Preprint PDF DOI

Optimal paths across potentials on scalar field space

Saskia Demulder, Dieter Lust, Carmine Montella, Thomas Raml ยท 2026

Motivated by the Swampland Distance Conjecture, we study distances in field space using the framework of Optimal Transport. The associated optimisation problem naturally leads to a notion of distance โ€ฆ

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Physics Preprint PDF DOI

The evolution of the baryonic content and mass profiles of satellite galaxies in the MTNG simulations

Sergio Contreras, Raul E. Angulo, Giovanni Arico, Lurdes Ondaro-Mallea, Sownak Bose, Lars Hernquist, Ruediger Pakmor, Volker Springel ยท 2026

Empirical models often rely on key relations from the galaxy--halo connection to construct mock galaxy catalogues. These relations typically describe central galaxies more accurately than satellite gaโ€ฆ

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AI & Data Science Preprint PDF DOI

Co-Director: Agentic Generative Video Storytelling

Yale Song, Yiwen Song, Nick Losier, Nathan Hodson, Ye Jin, Rhyard Zhu, Yan Xu, Daniel Vlasic, Carina Claassen, Jasmine Leon, Khanh G. LeViet, Zack Chomyn, Joe Timmons, Brett Slatkin, Scott Penberthy, Tomas Pfister ยท 2026

While diffusion models generate high-fidelity video clips, transforming them into coherent storytelling engines remains challenging. Current agentic pipelines automate this via chained modules but sufโ€ฆ

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Physics Preprint PDF DOI

The Thermodynamic and Kinematic Evolution of Circumgalactic Gas around $z=1$ in the IllustrisTNG model

Daniel DeFelippis, Shy Genel, Greg L. Bryan ยท 2026

The circumgalactic medium (CGM) is known to contain multiphase gas in various stages of evolution and interaction with the galaxy. In order to characterize its detailed behavior on short timescales, wโ€ฆ

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AI & Data Science Preprint PDF DOI

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation

Weijie Wang, Xiaoxuan He, Youping Gu, Yifan Yang, Zeyu Zhang, Yefei He, Yanbo Ding, Xirui Hu, Donny Y. Chen, Zhiyuan He, Yuqing Yang, Bohan Zhuang ยท 2026

Recent video foundation models demonstrate impressive visual synthesis but frequently suffer from geometric inconsistencies. While existing methods attempt to inject 3D priors via architectural modifiโ€ฆ

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AI & Data Science Preprint PDF DOI

OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer

Boyang Wang, Guangyi Xu, Zhipeng Tang, Jiahui Zhang, Zezhou Cheng ยท 2026

Shot Boundary Detection (SBD) aims to automatically identify shot changes and divide a video into coherent shots. While SBD was widely studied in the literature, existing state-of-the-art methods ofteโ€ฆ

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Physics Preprint PDF DOI

Contracting Tensor Networks with Generalized Belief Propagation

Joseph Tindall, Grace M. Sommers, Hilbert Kappen ยท 2026

Recent years have seen a growing interest in the use of belief propagation - an algorithm originally introduced for performing statistical inference on graphical models - for approximate, but highly eโ€ฆ

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Computer Science Preprint PDF DOI

Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram ยท 2026

Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to the logical errors andโ€ฆ

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Physics Preprint PDF DOI

Non-Abelian Particle-Loop, Fracton, and Planon Condensation in Cage-Net Models

Yifei Wang, Yu Zhao, Yingcheng Li, Hao Song, Yidun Wan ยท 2026

We present a framework for non-Abelian p-loop, fracton, and planon condensation in 3+1 dimensions by constructing extended cage-net fracton models using decoupled layers of the Hu-Geer-Wu (HGW) stringโ€ฆ

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Mathematics Preprint PDF DOI

The asymptotic oscillations of moments related to Dirichlet series with missing digits

Jean-Francois Burnol ยท 2026

We prove that the (suitably rescaled) moments of certain discrete measures on the unit interval, which are related to the numerical evaluation of zeta series with missing digits in radix $b$, are asymโ€ฆ

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Physics Preprint PDF DOI

Connecting the dusty dots: dust depletion and extinction of local interstellar clouds

T. Ramburuth-Hurt, A. De Cia, J.-K. Krogager, C. Ledoux, A. J. Fox ยท 2026

Investigating the chemical complexity of the interstellar medium (ISM) is key for understanding its physical nature and evolution. In this work, we study parsec-scale interstellar dust clouds in the nโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning to Think from Multiple Thinkers

Nirmit Joshi, Roey Magen, Nathan Srebro, Nikolaos Tsilivis, Gal Vardi ยท 2026

We study learning with Chain-of-Thought (CoT) supervision from multiple thinkers, all of whom provide correct but possibly systematically different solutions, e.g., step-by-step solutions to math probโ€ฆ

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AI & Data Science Preprint PDF DOI

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning

Zijian Guo, Ilker Is{i}k, H. M. Sabbir Ahmad, Wenchao Li ยท 2026

Specification-guided reinforcement learning (RL) provides a principled framework for encoding complex, temporally extended tasks using formal specifications such as linear temporal logic (LTL). While โ€ฆ

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Physics Preprint PDF DOI

Operating a contextual Stern-Gerlach apparatus

Th. K. Mavrogordatos ยท 2026

We propose a contextual cavity/circuit QED analogue and extension of the Stern-Gerlach experiment, where the pseudo-spin of a two-state `atomic' transition plays the role of the ``spin'', while the reโ€ฆ

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Economics & Finance Preprint PDF DOI

Efficient Multivariate Kelly Optimization Reveals Sigmoidal Scaling Laws

Ruslan Tepelyan, Daniel Lam ยท 2026

For a sequence of binary bets, the Kelly criterion provides a closed-form solution that maximizes the expected growth rate of wealth. In contrast, when multiple bets are placed simultaneously (e.g., iโ€ฆ

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AI & Data Science Preprint PDF DOI

Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling

Parsa Ashrafi Fashi, Utkarsh Saxena, Mehdi Rezagholizadeh, Aref Jafari, Akash Haridas, Mingyu Yang, Vansh Bhatia, Guihong Li, Vikram Appia, Emad Barsoum ยท 2026

Hybrid sequence models that combine efficient Transformer components with linear sequence modeling blocks are a promising alternative to pure Transformers, but most are still pretrained from scratch aโ€ฆ

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