{"total":15,"rows":[{"id":"2510.14150","title":"CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization","created":"2025-10-15","cited_by_count":44,"area":"agents"},{"id":"2602.15112","title":"ResearchGym: Evaluating Language Model Agents on Real-World AI Research","created":"2026-02-16","cited_by_count":22,"area":"agents"},{"id":"2605.26340","title":"ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence","created":"2026-05-25","cited_by_count":19,"area":"agents"},{"id":"2607.02807","title":"SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery","created":"2026-07-02","cited_by_count":6,"area":"agents"},{"id":"2605.07039","title":"PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents","created":"2026-05-07","cited_by_count":4,"area":"agents"},{"id":"2605.20086","title":"What Do Evolutionary Coding Agents Evolve?","created":"2026-05-19","cited_by_count":3,"area":"agents"},{"id":"2602.02597","title":"ContextEvolve: Multi-Agent Context Compression for Systems Code Optimization","created":"2026-02-01","cited_by_count":2,"area":"agents"},{"id":"2604.25083","title":"Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization","created":"2026-04-28","cited_by_count":2,"area":"agents"},{"id":"2608.04458","title":"Architectural Implications of Agentic AI Workflows","created":"2026-08-05","cited_by_count":2,"area":"agents"},{"id":"2602.21480","title":"Both Ends Count! Just How Good are LLM Agents at \"Text-to-Big SQL\"?","created":"2026-02-25","cited_by_count":1,"area":"agents"},{"id":"2603.11515","title":"Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems","created":"2026-03-12","cited_by_count":1,"area":"agents"},{"id":"2608.09874","title":"ArchAgent v2: A Case Study with the Data Prefetching Championship","created":"2026-08-10","cited_by_count":1,"area":"agents"},{"id":"2605.20690","title":"Declarative Data Services: Structured Agentic Discovery for Composing Data Systems","created":"2026-05-20","cited_by_count":0,"area":"agents"},{"id":"2607.14408","title":"Reward-Free Evolving Agents via Pairwise Validator","created":"2026-07-15","cited_by_count":0,"area":"agents"},{"id":"2610.17528","title":"ATTUNE: Agentic Throughput Tuning for LLM Training","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}