{"total":29,"rows":[{"id":"2512.13564","title":"Memory in the Age of AI Agents","created":"2025-12-15","cited_by_count":303,"area":"agents"},{"id":"2603.08127","title":"EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery","created":"2026-03-09","cited_by_count":51,"area":"agents"},{"id":"2602.02660","title":"MARS: Modular Agent with Reflective Search for Automated AI Research","created":"2026-02-02","cited_by_count":25,"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":"2604.13018","title":"Toward Autonomous Long-Horizon Engineering for ML Research","created":"2026-04-14","cited_by_count":17,"area":"agents"},{"id":"2604.25256","title":"AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery","created":"2026-04-28","cited_by_count":11,"area":"agents"},{"id":"2601.12910","title":"SciCoQA: Quality Assurance for Scientific Paper--Code Alignment","created":"2026-01-19","cited_by_count":10,"area":"agents"},{"id":"2606.24530","title":"NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?","created":"2026-06-23","cited_by_count":10,"area":"agents"},{"id":"2604.14116","title":"TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration","created":"2026-04-15","cited_by_count":8,"area":"agents"},{"id":"2511.02238","title":"Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network","created":"2025-11-04","cited_by_count":7,"area":"agents"},{"id":"2604.09590","title":"DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review","created":"2026-03-03","cited_by_count":7,"area":"agents"},{"id":"2606.31651","title":"FARS: A Fully Automated Research System Deployed at Scale","created":"2026-06-30","cited_by_count":7,"area":"agents"},{"id":"2602.18920","title":"DeepInnovator: Triggering the Innovative Capabilities of LLMs","created":"2026-02-21","cited_by_count":5,"area":"agents"},{"id":"2605.31468","title":"AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle","created":"2026-05-29","cited_by_count":5,"area":"agents"},{"id":"2605.10813","title":"NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation","created":"2026-05-11","cited_by_count":4,"area":"agents"},{"id":"2605.06607","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","created":"2026-05-07","cited_by_count":3,"area":"agents"},{"id":"2603.19782","title":"Embodied Science: Closing the Discovery Loop with Agentic Embodied AI","created":"2026-03-20","cited_by_count":1,"area":"agents"},{"id":"2606.31478","title":"One Reflection Is Not Enough: Self-Correcting Autonomous Research via Multi-Hypothesis Failure Attribution","created":"2026-06-30","cited_by_count":1,"area":"agents"},{"id":"2608.30047","title":"Can LLM Agents Discover? Evaluating Creativity on ML Engineering Tasks","created":"2026-08-30","cited_by_count":1,"area":"agents"},{"id":"2609.22104","title":"DeepInstructor: An Agentic AI Instructor for Experience-Driven Idea Evaluation","created":"2026-08-14","cited_by_count":1,"area":"agents"},{"id":"2512.01089","title":"CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents","created":"2025-11-30","cited_by_count":0,"area":"agents"},{"id":"2603.18273","title":"EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research","created":"2026-03-18","cited_by_count":0,"area":"agents"},{"id":"2604.01128","title":"Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers","created":"2026-04-01","cited_by_count":0,"area":"agents"},{"id":"2604.27725","title":"AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments","created":"2026-04-30","cited_by_count":0,"area":"agents"},{"id":"2608.14667","title":"Position: AI Agents in Scientific Teams Should Be Studied as Human-Agent Systems","created":"2026-08-02","cited_by_count":0,"area":"agents"},{"id":"2609.03416","title":"Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection","created":"2026-09-03","cited_by_count":0,"area":"agents"},{"id":"2609.07611","title":"AgentIdeaBench: Benchmarking Scientific Ideation in the Agent Era","created":"2026-09-07","cited_by_count":0,"area":"agents"},{"id":"2610.04074","title":"IdeaScientist: Orchestrating Agents for Grounded Scientific Ideation","created":"2026-10-02","cited_by_count":0,"area":"agents"}],"next_cursor":null}