AUTURNAL / RESEARCH SOURCES

Reference sources

Primary references used in the research collection. Titles and bibliographic details retain their original language.

References 745–766 of 766

WebArena: A Realistic Web Environment for Building Autonomous Agents
Zhou et al.
2023-07-25
Source location: v4; abstract, benchmark and functional evaluation
Source scope: An executable website benchmark measures final functional outcomes rather than just action-text similarity; historical results remain tied to the stated version.
Inspected on: 2026-10-15
Open original source ↗
Referenced in (1)
- 工具型 Agent 的可靠性：行动状态机、幂等语义与结果归因
Well-typed programs can't be blamed
Philip Wadler; Robert Bruce Findler
2009
Open original source ↗
Referenced in (1)
- Types at the Boundary: Gradual Guarantees, Blame, and the Cost of Enforcement
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg; Dimitris Tsipras; Percy Liang; Gregory Valiant
2022
Open original source ↗
Referenced in (1)
- Learning Inside the Context: Bayesian Ambiguity and Algorithmic Imitation
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek; Dale Schuurmans; Jacob Andreas; Tengyu Ma; Denny Zhou
2022
Open original source ↗
Referenced in (1)
- Learning Inside the Context: Bayesian Ambiguity and Algorithmic Imitation
When and How Mixup Improves Calibration
Linjun Zhang; Zhun Deng; Kenji Kawaguchi; James Zou
2022
Open original source ↗
Referenced in (1)
- Interpolation Changes the Learning Distribution
When and why PINNs fail to train: A neural tangent kernel perspective
Sifan Wang; Xinling Yu; Paris Perdikaris
2020
Open original source ↗
Referenced in (1)
- Physics-Informed Learning Has a Scale: Residual Weighting, Units, and Error
When Machine Unlearning Jeopardizes Privacy
Min Chen; Zhikun Zhang; Tianhao Wang; Michael Backes; Mathias Humbert; Yang Zhang
2020
Open original source ↗
Referenced in (1)
- What an Unlearning Test Can Actually Certify
Whole-organism lineage tracing by combinatorial and cumulative genome editing
Aaron McKenna; Gregory M. Findlay; James A. Gagnon; Marshall S. Horwitz; Alexander F. Schier; Jay Shendure
2016
Open original source ↗
Referenced in (1)
- Recording Development without Rewriting It: The Information Limits of Cellular Lineage Tracing
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee; Lechao Xiao; Samuel S. Schoenholz; Yasaman Bahri; Roman Novak; Jascha Sohl-Dickstein; Jeffrey Pennington
2019
Open original source ↗
Referenced in (1)
- Beyond a Frozen Tangent: What Kernel Limits Explain about Neural Feature Learning
Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith, and Kohler glaciers, West Antarctica, from 1992 to 2011
E. Rignot; J. Mouginot; M. Morlighem; H. Seroussi; B. Scheuchl
2014
Open original source ↗
Referenced in (1)
- The Geometry of Ice-Sheet Instability: Grounding Lines, Feedbacks and Forecast Horizons
Wild Pollinators Enhance Fruit Set of Crops Regardless of Honey Bee Abundance
Lucas A. Garibaldi; Ingolf Steffan-Dewenter; Rachael Winfree; Marcelo A. Aizen; Riccardo Bommarco; Saul A. Cunningham; et al.
2013-03-29
Source location: Abstract; 41 crop systems
Source scope: 野生访花与结实率正关联；管理蜂补充不能简单替代多样性。
Open original source ↗
Referenced in (1)
- 传粉网络的功能韧性：物种多样性、共同失效与农业产出的证据
WILDS: A Benchmark of in-the-Wild Distribution Shifts
, , , , , , , , , , , , , , , , , , , , , , --------------------------------------------------------------------------------
2020-12-14
Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接
Source scope: 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。
Inspected on: 2026-10-21
Open original source ↗
Referenced in (3)
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; Ian Stavness; Wei Guo; Berton A. Earnshaw; Imran S. Haque; Sara Beery; Jure Leskovec; Anshul Kundaje; Emma Pierson; Sergey Levine; Chelsea Finn; Percy Liang
2021
Open original source ↗
Referenced in (1)
- Auditing the Shortcut: Feature Interventions, Hidden Groups, and the Limits of Robustness Claims
WiscKey: Separating Keys from Values in SSD-conscious Storage
Lanyue Lu; Thanumalayan Sankaranarayana Pillai; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau
2016
Open original source ↗
Referenced in (1)
- The Price of Sorted State: Compaction, Amplification, and Value Separation
Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations
Piotr Indyk; Haike Xu
2023
Open original source ↗
Referenced in (1)
- Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry
Write-Ahead Logging
SQLite developers
2026
Open original source ↗
Referenced in (1)
- After the Power Fails: Crash Consistency and the Meaning of Durable
Write-Ahead Logging (WAL)
PostgreSQL Global Development Group
2026
Open original source ↗
Referenced in (1)
- After the Power Fails: Crash Consistency and the Meaning of Durable
X-Trace: A Pervasive Network Tracing Framework
Rodrigo Fonseca; George Porter; Randy H. Katz; Scott Shenker; Ion Stoica
2007
Open original source ↗
Referenced in (1)
- Seeing a Distributed Execution: Sampling, Context, and the Limits of Trace Evidence
x86-TSO: a rigorous and usable programmer's model for x86 multiprocessors
Peter Sewell; Susmit Sarkar; Scott Owens; Francesco Zappa Nardelli; Magnus O. Myreen
2010
Open original source ↗
Referenced in (1)
- Concurrent Programs Across Memory Models: From Litmus Tests to Contracts
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng; Jeffrey Quesnelle; Honglu Fan; Enrico Shippole
2023
Open original source ↗
Referenced in (1)
- Beyond the Training Window: Position, Distance, and Extrapolation in Transformers
Zanzibar: Google's Consistent, Global Authorization System
Ruoming Pang; Ramon Caceres; Mike Burrows; Zhifeng Chen; Pratik Dave; Nathan Germer; Alexander Golynski; Kevin Graney; Nina Kang; Lea Kissner; Jeffrey L. Korn; Abhishek Parmar; Christopher D. Richards; Mengzhi Wang
2019
Open original source ↗
Referenced in (1)
- Permission Has a Time: Relationship-Based Authorization and Consistent Revocation
Zoology: Measuring and Improving Recall in Efficient Language Models
Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra; Christopher Ré
2023
Open original source ↗
Referenced in (1)
- What a Recurrent State Can Remember: Decay, Selectivity, and Sequence Memory

Reference sources

WebArena: A Realistic Web Environment for Building Autonomous Agents

Well-typed programs can't be blamed

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

What learning algorithm is in-context learning? Investigations with linear models

When and How Mixup Improves Calibration

When and why PINNs fail to train: A neural tangent kernel perspective

When Machine Unlearning Jeopardizes Privacy

Whole-organism lineage tracing by combinatorial and cumulative genome editing

Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith, and Kohler glaciers, West Antarctica, from 1992 to 2011

Wild Pollinators Enhance Fruit Set of Crops Regardless of Honey Bee Abundance

WILDS: A Benchmark of in-the-Wild Distribution Shifts

WILDS: A Benchmark of in-the-Wild Distribution Shifts

WiscKey: Separating Keys from Values in SSD-conscious Storage

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Write-Ahead Logging

Write-Ahead Logging (WAL)

X-Trace: A Pervasive Network Tracing Framework

x86-TSO: a rigorous and usable programmer's model for x86 multiprocessors

YaRN: Efficient Context Window Extension of Large Language Models

Zanzibar: Google's Consistent, Global Authorization System

Zoology: Measuring and Improving Recall in Efficient Language Models