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20232026
most citedA Large-Scale Exploratory Study on the Proxy Pattern in Ethereum

18 citations · 27 across the 28 of their papers we have counts for

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33 papers · 1 filter

cs.SE2026

On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin Marketplaces

Ahmed Hereiz, Yingzhe Lyu, Hao Li +2

AI coding agents, software tools that automate development tasks through reasoning and tool use, are increasingly extended through plugin marketplaces, yet the structure, maintenan…

cs.SE2026

Turning Interaction History into Execution State: A Runtime Layer for Long-Horizon Coding Agents

Zehao Wang, Yisen Xu, Chenglin Li +5

Long-horizon coding agents accumulate hundreds of actions and observations in their trajectories, yet nothing in this record indicates which observations still describe the reposit…

cs.SE2026

When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face

Adekunle Ajibode, Oussama Ben Sghaier, Bram Adams +1

Pre-trained Language Models (PTLMs) are increasingly reused as dependencies in modern software systems, even though prior work has documented persistent structural problems in PTLM…

cs.SE2026

Don't Trust the Label: License Laundering in AI Supply Chains

James Jewitt, Hao Li, Gopi Krishnan Rajbahadur +2

AI artifacts move through a multi-platform supply chain, spanning datasets and models on Hugging Face and applications on GitHub. While each artifact carries a license whose obliga…

cs.SE2026

Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality

Oussama Ben Sghaier, Hao Li, Bram Adams +1

Coding agents, autonomous systems that use large language models (LLMs) to resolve software engineering tasks, rely on agent harness: a middleware layer in between a developer and…

cs.SE2026

Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting

Adekunle Ajibode, Oussama Ben Sghaier, Keheliya Gallaba +2

Pre-trained language models (PTLMs) hosted on platforms such as Hugging Face form complex lineage structures similar to software dependency graphs. However, unlike traditional soft…