参考来源

第 625–648 条，共 766 条来源

625. Short-Range Quantum Magnetism of Ultracold Fermions in an Optical Lattice

     Daniel Greif; Thomas Uehlinger; Gregor Jotzu; Leticia Tarruell; Tilman Esslinger
     2013
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     • Learning from an Artificial Lattice: What Fermi-Hubbard Quantum Simulators Actually Measure

626. Shortcut Learning in Deep Neural Networks

     Robert Geirhos; Jörn-Henrik Jacobsen; Claudio Michaelis; Richard Zemel; Wieland Brendel; Matthias Bethge; Felix A. Wichmann
     2020
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     • Auditing the Shortcut: Feature Interventions, Hidden Groups, and the Limits of Robustness Claims

627. Signatures of superconductivity near 80 K in a nickelate under high pressure

     Hualei Sun; Mengwu Huo; Xunwu Hu; Jingyuan Li; Zengjia Liu; Yifeng Han; Lingyun Tang; Zhongquan Mao; Pengtao Yang; Bosen Wang; Jinguang Cheng; Dao-Xin Yao; Guang-Ming Zhang; Meng Wang
     2023
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     • A Superconducting Signature Is a Chain of Evidence: Nickelates, Interfaces and Competing Explanations

628. Simple and Controllable Music Generation

     Jade Copet; Felix Kreuk; Itai Gat; Tal Remez; David Kant; Gabriel Synnaeve; Yossi Adi; Alexandre Défossez
     2023
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     • What the Audio Tokens Carry: Neural Codecs, Generative Interfaces, and Latency Budgets

629. Simple and Effective Masked Diffusion Language Models

     Subham Sekhar Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander Rush; Volodymyr Kuleshov
     2024
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     • What a Mask Forgets: Discrete Diffusion, Joint Dependence, and Parallel Token Generation

630. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

     Balaji Lakshminarayanan; Alexander Pritzel; Charles Blundell
     2017
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     • When Many Models Share One Mistake: Error Correlation and Epistemic Signals in Deep Ensembles

631. Simultaneous lineage tracing and cell-type identification using CRISPR–Cas9-induced genetic scars

     Bastiaan Spanjaard; Bo Hu; Nina Mitic; Pedro Olivares-Chauvet; Sharan Janjuha; Nikolay Ninov; Jan Philipp Junker
     2018
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     • Recording Development without Rewriting It: The Information Limits of Cellular Lineage Tracing

632. Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain

     Bushra Raj; Daniel E Wagner; Aaron McKenna; Shristi Pandey; Allon M Klein; Jay Shendure; James A Gagnon; Alexander F Schier
     2018
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     • Recording Development without Rewriting It: The Information Limits of Cellular Lineage Tracing

633. SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning

     Immanuel Trummer; Junxiong Wang; Deepak Maram; Samuel Moseley; Saehan Jo; Joseph Antonakakis
     2019
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     • Query Plans under Uncertainty: Cardinality Error, Regret, and Robust Execution

634. SLSA v1.2 Build: Provenance

     SLSA
     2026
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     • From Source to Artifact: Reproducible Builds and the Limits of Provenance

635. SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

     , , , , ,
     2022-11-18

     来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     核查范围: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。

     查阅日期: 2026-10-21

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     • 低比特推理的误差账本：量化尺度、校准与真实内存收益

636. Software Carbon Intensity (SCI) Specification, version 1.1.0

     Green Software Foundation
     2026
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     • When Computation Should Run: Carbon-Aware Scheduling under Deadlines and Forecast Error

637. Solving olympiad geometry without human demonstrations

     Trinh et al.
     2024-01-17

     来源定位: IMO-AG-30: 25/30; geometry-language coverage and excluded problem types; author correction noted.

     查阅日期: 2026-10-22

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     • 从生成猜想到可检查证明：神经符号搜索中的验证器、规格与发现

638. SoundStream: An End-to-End Neural Audio Codec

     Neil Zeghidour; Alejandro Luebs; Ahmed Omran; Jan Skoglund; Marco Tagliasacchi
     2021
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     • What the Audio Tokens Carry: Neural Codecs, Generative Interfaces, and Latency Budgets

639. SOURCE_DATE_EPOCH

     Reproducible Builds project
     2026
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     • From Source to Artifact: Reproducible Builds and the Limits of Provenance

640. Spatiotemporal Control of Intracellular Phase Transitions Using Light-Activated optoDroplets

     Yongdae Shin; Joel Berry; Nicole Pannucci; Mikko P. Haataja; Jared E. Toettcher; Clifford P. Brangwynne
     2017
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     • When a Droplet Is a Mechanism: Phase Separation, Kinetics and Causal Tests in Cells

641. Spectre Attacks: Exploiting Speculative Execution

     Paul Kocher; Jann Horn; Anders Fogh; Daniel Genkin; Daniel Gruss; Werner Haas; Mike Hamburg; Moritz Lipp; Stefan Mangard; Thomas Prescher; Michael Schwarz; Yuval Yarom
     2019
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     • Isolation Beyond Architectural State: Reasoning About Microarchitectural Leakage

642. Stability and Generalization

     Olivier Bousquet; André Elisseeff
     2002
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     • What One Replaced Example Changes: Algorithmic Stability, Training Time, and Generalization

643. Stability and Generalization of Learning Algorithms that Converge to Global Optima

     Zachary Charles; Dimitris Papailiopoulos
     2018
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     • What One Replaced Example Changes: Algorithmic Stability, Training Time, and Generalization

644. STABILIZER: statistically sound performance evaluation

     Charlie Curtsinger; Emery D. Berger
     2013
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     • When a Benchmark Supports a Claim: Experimental Units, Workload Mixtures, and Causal Validity

645. Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

     Aviral Kumar; Justin Fu; George Tucker; Sergey Levine
     2019
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     • The Action Missing from the Dataset: Support, Pessimism, and Identification in Offline Deep Reinforcement Learning

646. Stable Architectures for Deep Neural Networks

     Eldad Haber; Lars Ruthotto
     2017
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     • When Depth Becomes a Dynamical System

647. Statistics Used by the Planner

     PostgreSQL Global Development Group
     2026
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     • Query Plans under Uncertainty: Cardinality Error, Regret, and Robust Execution

648. Steerable CNNs

     Taco S. Cohen; Max Welling
     2017
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     • Equivariance Is a Contract About Transformations