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๐Ÿ” kerry foxall ๐Ÿ“‚ Computer Science
Showing 2243 results for "kerry foxall" in Computer Science
Computer Science Preprint PDF DOI

Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes

Tianyuan Wu, Chaokun Chang, Lunxi Cao, Wei Gao, Wei Wang ยท 2026

Autonomous agents act through sandboxed containers and microVMs whose state spans filesystems, processes, and runtime artifacts. Checkpoint and restore (C/R) of this state is needed for fault tolerancโ€ฆ

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The Grand Software Supply Chain of AI Systems

Carmine Cesarano, Martin Monperrus ยท 2026

AI systems rest on software with low integrity mechanisms, leaving AI systems exposed across every stage from data acquisition to final inference. This paper makes the AI supply chain a first-class obโ€ฆ

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Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak ยท 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deployaโ€ฆ

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Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Bjorner ยท 2026

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, executable system, benโ€ฆ

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CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows

Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun (Peter) Chen ยท 2026

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failures remains challengโ€ฆ

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AgentSim: A Platform for Verifiable Agent-Trace Simulation

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic ยท 2026

Training trustworthy agentic LLMs requires data that shows the grounded reasoning process, not just the final answer. Existing datasets fall short: question-answering data is outcome-only, chain-of-thโ€ฆ

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Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains

Emaan Bilal Khan, Amy Winecoff, Miranda Bogen, Dylan Hadfield-Menell ยท 2026

Foundation models are routinely fine-tuned for use in particular domains, yet safety assessments are typically conducted only on base models, implicitly assuming that safety properties persist throughโ€ฆ

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Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short

Enis Golaszewski, Neal Krawetz, Alan T. Sherman, Edward Zieglar, Sai K. Matukumalli, Roberto Yus, Carson L. Kegley, Michael Barthel, William Bowman, Bharg Barot, Kaur Kullman ยท 2026

The rapid rise of generative AI has made it easy to create convincing fake media at scale. In response, an industrial coalition has developed the Coalition for Content Provenance and Authenticity (C2Pโ€ฆ

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Computer Science Preprint PDF DOI

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation

Chen Yang, Junjie Chen ยท 2026

Business logic bugs violate intended business semantics and are particularly prevalent in enterprise software. Yet most existing unit test generation techniques are code-centric, making such bugs diffโ€ฆ

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From Stateless Queries to Autonomous Actions: A Layered Security Framework for Agentic AI Systems

Kexin Chu ยท 2026

Agentic AI systems face security challenges that stateless large language models do not. They plan across extended horizons, maintain persistent memory, invoke external tools, and coordinate with peerโ€ฆ

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Institutionalizing Best Practices in Research Computing: A Framework and Case Study for Improving User Onboarding

Ayush Chaturvedi, Rob Pokorney, Elyn Fritz-Waters, Charlotte Rouse, Gary Bax, Daryl Spencer, Craig Pohl ยท 2026

Research computing centers around the world struggle with onboarding new users. Subject matter experts, researchers, and principal investigators are often overwhelmed by the complex infrastructure andโ€ฆ

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Generalizing Test Cases for Comprehensive Test Scenario Coverage

Binhang Qi, Yun Lin, Xinyi Weng, Chenyan Liu, Hailong Sun, Gordon Fraser, Jin Song Dong ยท 2026

Test cases are essential for software development and maintenance. In practice, developers derive multiple test cases from an implicit pattern based on their understanding of requirements and inferencโ€ฆ

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FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving

Wenyan Chen, Chengzhi Lu, Yanying Lin, Dmitrii Ustiugov ยท 2026

Speculative decoding (SD) is a widely used approach for accelerating decode-heavy LLM inference workloads. While online inference workloads are highly dynamic, existing SD systems are rigid and take aโ€ฆ

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Writing Blog Posts Helps Students Connect Experiential Learning to the Workplace

Utsab Saha, Lola Egherman, Ramiz Rahman, Mohd Toukir Khan, Kevin Wang, Tyler Menezes ยท 2026

Undergraduates in work-based learning experiences often produce meaningful contributions as viewed by their supervisors, yet report a negative perception of their contributions because they struggled โ€ฆ

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Document-as-Image Representations Fall Short for Scientific Retrieval

Ghazal Khalighinejad, Raghuveer Thirukovalluru, Alexander H. Oh, Bhuwan Dhingra ยท 2026

Many recent document embedding models are trained on document-as-image representations, embedding rendered pages as images rather than the underlying source. Meanwhile, existing benchmarks for scientiโ€ฆ

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Homogeneous Network Caching is Fixed-Parameter Tractable Parameterized by the Number of Caches

Jozsef Pinter, Regina Stangl ยท 2026

Network caching asks how to place contents in distributed caches so that future requests are served close to their users. Ganian, Mc Inerney and Tsigkari recently initiated the parameterized-complexitโ€ฆ

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A Semantic Geometry for Uncovering Paradigm Dynamics via Scientific Publications

Jinchang Liu, Qingshan Zhou, Hongkan Chen, Yi Bu ยท 2026

Science advances not only by accumulating discovered patterns but by changing how new problems and solutions are expressed. While structural indicators track scholarly attention, they offer only an inโ€ฆ

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Filament: Denning-Style Information Flow Control for Rust

Jeffrey C. Ching, Quan Zhou, Danfeng Zhang ยท 2026

Existing language-based information-flow control (IFC) tools face a fundamental tension: Denning-style systems that track explicit and implicit flows at the variable level typically require compiler mโ€ฆ

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Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation

Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun ยท 2026

The increase in data volume, computational resources, and model parameters during training has led to the development of numerous large-scale industrial retrieval models for recommendation tasks. Howeโ€ฆ

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Hyper Separation Logic (extended version)

Trayan Gospodinov, Peter Muller, Thibault Dardinier ยท 2026

Many important functional and security properties--including non-interference, determinism, and generalized non-interference (GNI)--are hyperproperties, i.e., properties relating multiple executions oโ€ฆ

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