Cover Image

Phyelds: A Pythonic Framework for Aggregate Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aguzzi, Gianluca, Domini, Davide, Farabegoli, Nicolas, Viroli, Mirko
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MacroSwarm: A Field-based Compositional Framework for Swarm Programming
by: Aguzzi, Gianluca, et al.
Published: (2024)

Proximity-based Self-Federated Learning
by: Domini, Davide, et al.
Published: (2024)

FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
by: Domini, Davide, et al.
Published: (2025)

TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
by: Dong, Honghua, et al.
Published: (2025)

Stdlib or Third-Party? Empirical Performance and Correctness of LLM-Assisted Zero-Dependency Python Libraries
by: Ding, Peng, et al.
Published: (2026)

GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
by: Misra, Diganta, et al.
Published: (2025)

Turn: A Language for Agentic Computation
by: Kizito, Muyukani
Published: (2026)

Functional Programming Paradigm of Python for Scientific Computation Pipeline Integration
by: Zhang, Chen, et al.
Published: (2024)

Blueprint First, Model Second: A Framework for Deterministic LLM Workflow
by: Qiu, Libin, et al.
Published: (2025)

Software Engineering for Collective Cyber-Physical Ecosystems
by: Casadei, Roberto, et al.
Published: (2024)

ProFed: a Benchmark for Proximity-based non-IID Federated Learning
by: Domini, Davide, et al.
Published: (2025)

LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
by: Wang, Ming, et al.
Published: (2024)

Herb.jl: A Unifying Program Synthesis Library
by: Hinnerichs, Tilman, et al.
Published: (2025)

The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers
by: Zhang, Shuoming, et al.
Published: (2026)

A Problem-Oriented Perspective and Anchor Verification for Code Optimization
by: Ye, Tong, et al.
Published: (2024)

A Declarative Language for Building And Orchestrating LLM-Powered Agent Workflows
by: Daunis, Ivan
Published: (2025)

Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
by: Zhang, Yinger, et al.
Published: (2023)

Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
by: Yu, Simon, et al.
Published: (2026)

LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT
by: Xu, Zhenyu, et al.
Published: (2024)

Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
by: Lang, Nguyet-Anh H., et al.
Published: (2026)

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
by: Dandamudi, Rohit, et al.
Published: (2024)

Evaluating the Performance of Large Language Models in Competitive Programming: A Multi-Year, Multi-Grade Analysis
by: Dumitran, Adrian Marius, et al.
Published: (2024)

Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
by: Le-Cong, Thanh, et al.
Published: (2025)

Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback
by: Maddila, Chandra, et al.
Published: (2025)

Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support
by: Du, Alexander, et al.
Published: (2026)

Toward an Agentic Infused Software Ecosystem
by: Marron, Mark
Published: (2026)

Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)

Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis
by: Mitchell, Jacqueline L., et al.
Published: (2026)

ENCRUST: Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation
by: Sim, Hohyun, et al.
Published: (2026)

Executing as You Generate: Hiding Execution Latency in LLM Code Generation
by: Sun, Zhensu, et al.
Published: (2026)

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
by: He, Pengfei, et al.
Published: (2026)

BODHI: Precise OS Kernel Specification Inference
by: Chang, Zhiming, et al.
Published: (2026)

Certified Program Synthesis with a Multi-Modal Verifier
by: Feng, Yueyang, et al.
Published: (2026)

Benchmarking Large Language Models for ABAP Code Generation: An Empirical Study on Iterative Improvement by Compiler Feedback
by: Wallraven, Stephan, et al.
Published: (2026)

Doc2Spec: Synthesizing Formal Programming Specifications from Natural Language via Grammar Induction
by: Xia, Shihao, et al.
Published: (2026)

LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
by: Hind, Michael, et al.
Published: (2026)

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution
by: Huang, Tinglin, et al.
Published: (2026)

LCM: Lossless Context Management
by: Ehrlich, Clint, et al.
Published: (2026)

Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)

Insights from the Usage of the Ansible Lightspeed Code Completion Service
by: Sahoo, Priyam, et al.
Published: (2024)