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20 results for “blueprint framework”

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cs.AIRecentJun 1, 2026

From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation

Hamied Nabizada, Thomas Wirt, Luis Miguel Vieira da Silva, Felix Gehlhoff +1 more

This paper proposes an automated method to generate complete PDDL planning problems directly from Asset Administration Shell (AAS) capability models, eliminating the need for specialized planning expe…

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cs.SEcs.AIcs.MAEmpiricalRecentJul 16, 2026

StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows

Sizhong Qin, Yi Gu, Yao Jiang, Ao Cai +12 more

This paper introduces StructureClaw, an artifact-centered workbench for evaluating structural-engineering agents, and presents StructureClaw-Bench, an executable benchmark for testing these agents.

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cs.AIRecentMay 27, 2026

MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation

Xiaoyu Dong, Zhi Li, Xiao-Ming Wu

The paper introduces MUSE, a comprehensive benchmark that evaluates Text-to-CAD generation by assessing complex assemblies based on functionality, manufacturability, and assemblability, moving beyond…

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cs.AIcs.ARcs.CEEmpiricalRecentJul 7, 2026

Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation

Niels Potters, Theo Hofman

A black-box evaluation framework is presented to assess Large Language Models' ability to generate Design Structure Matrices from technical documentation, using structural, classification, and stabili…

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cs.SEEmpiricalRecentJun 23, 2026

Agentic Generation of AST Transformation Rules for Fixing Breaking Updates

Frank Reyes, Benoit Baudry, Martin Monperrus

The paper presents BigBag, an agentic framework that generates reusable fixing transformations for third-party library breaking API changes, achieving a compilable transformation rate of 94.3% and a f…

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cs.SEcs.AIRecentMay 27, 2026

Tool Forge: A Validation-Carrying Toolchain for Governed Agentic Execution

Swanand Rao

Tool Forge is a validation-carrying toolchain that converts natural language capability intent into governed, sandbox-verified tool artifacts, significantly improving agent efficiency and reliability.

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cs.HCcs.AIRecentMay 31, 2026

pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements

Tobias King, Steven Kehrberg, Michael Beigl, Tobias Röddiger

pcbGPT is a grounded system that automatically generates editable KiCad PCB schematics from natural language requirements, achieving high accuracy on complex embedded design tasks.

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cs.AIcs.LGcs.SERecentMay 27, 2026

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence

Raffael Theiler, Ludovico Comito, David Leko, Leandro Von Krannichfeldt +2 more

The paper introduces an agentic, framework-based system to transform under-specified academic papers into standardized, comparable, and executable benchmarks for industrial Prognostics and Health Mana…

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cs.SEEmpiricalRecentJul 7, 2026

Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem

Ozan Özkan, Önder Babur, Mark van den Brand

This paper provides the first large-scale characterisation of Domain-Driven Design (DDD) adoption and implementation on GitHub.

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cs.SEcs.AIEmpiricalRecentJun 29, 2026

MCP Server Architecture Patterns for LLM-Integrated Applications

Carson Rodrigues, Oysturn Vas

This paper identifies and describes five recurring architectural patterns and four anti-patterns for MCP servers, a standardized interface for connecting large language models to external tools and se…

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cs.SEcs.CRRecentMay 10, 2026

Evaluating Tool Cloning in Agentic-AI Ecosystems

Taein Kim, David Jiang, Yuepeng Hu, Yuqi Jia +1 more

The paper presents a large-scale study demonstrating that tool cloning is a pervasive and severe source of hidden duplication in agent-tool ecosystems, necessitating changes in how tool diversity is m…

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cs.CLcs.AIRecentMay 27, 2026

IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents

Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan, Sagnik Nandi +7 more

The paper introduces IPO-Mine, a comprehensive toolkit and large-scale dataset designed to enable standardized, multimodal analysis of extremely long and structurally complex Initial Public Offering (…

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cs.SEcs.AIRecentMay 27, 2026

DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers

Aditya Pujara, Xiaogang Zhu, Hsiang-Ting Chen

DeltaMCP is a specification-aware, incremental regeneration tool that efficiently updates Model Context Protocol (MCP) servers by only modifying affected tooling when a service's OpenAPI specification…

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cs.SEcs.AIRecentJun 3, 2026

From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents

Sanderson Oliveira de Macedo

This paper studies AI development frameworks for software engineering and proposes a six-dimension process taxonomy.

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cs.SETheoreticalRecentJul 17, 2026

Trans-Domain Digital Twin: Conceptual Foundations, Architecture, and Research Outlook

Mansoorali Amiri

This paper proposes the trans-domain digital twin approach to connect heterogeneous domain twins through aligned shared state, explicit coupling, heterogeneous temporal coordination, joint decision-ma…

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cs.SEcs.AIcs.CRRecentMay 27, 2026

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers

Kaihua Qin, Dawn Song, Arthur Gervais

The paper introduces SCDBench, a comprehensive benchmark dataset and methodology that rigorously evaluates LLM-based smart contract decompilers, finding that while frontier models can produce compilab…

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cs.SEcs.AIcs.CRRecentMay 27, 2026

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers

Kaihua Qin, Dawn Song, Arthur Gervais

The paper introduces SCDBench, a comprehensive benchmark dataset and methodology that rigorously evaluates LLM-based smart contract decompilers, finding that while frontier LLMs can generate compilabl…

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cs.LGEmpiricalRecentJun 30, 2026

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning

Zekai Chen, Kairui Yang, Xuaner Chen, Xunkai Li +3 more

The paper proposes FedLAB, a traceable semantic codebook framework for federated multimodal graph foundation learning, which organizes multimodal graph knowledge into hierarchical codebooks and refine…

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cs.AIEmpiricalRecentJun 30, 2026

AxDafny: Agentic Verified Code Generation in Dafny

Benjamin Breen, Austin Letson, Borja Requena Pozo, Leopoldo Sarra

The paper introduces AxDafny, a verifier-guided repair framework that improves verification success in Dafny by generating implementations, invariants, assertions, and termination arguments.

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