{"total":100,"rows":[{"id":"2606.15497","title":"Towards End-to-End Automation of AI Research","created":"2026-03-31","cited_by_count":159,"area":null},{"id":"2411.00816","title":"CycleResearcher: Improving Automated Research via Automated Review","created":"2024-10-28","cited_by_count":148,"area":null},{"id":"2410.07076","title":"MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses","created":"2024-10-09","cited_by_count":72,"area":null},{"id":"2503.18102","title":"AgentRxiv: Towards Collaborative Autonomous Research","created":"2025-03-23","cited_by_count":72,"area":null},{"id":"2504.17192","title":"Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning","created":"2025-04-24","cited_by_count":70,"area":null},{"id":"2509.26603","title":"DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively","created":"2025-09-30","cited_by_count":63,"area":null},{"id":"2412.17767","title":"ResearchTown: Simulator of Human Research Community","created":"2024-12-23","cited_by_count":37,"area":null},{"id":"2504.11524","title":"HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation","created":"2025-04-15","cited_by_count":37,"area":null},{"id":"2505.24785","title":"EXP-Bench: Can AI Conduct AI Research Experiments?","created":"2025-05-30","cited_by_count":37,"area":null},{"id":"2507.00310","title":"AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise","created":"2025-06-30","cited_by_count":33,"area":null},{"id":"2505.20662","title":"AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage","created":"2025-05-27","cited_by_count":32,"area":null},{"id":"2410.23166","title":"SciPIP: An LLM-based Scientific Paper Idea Proposer","created":"2024-10-30","cited_by_count":26,"area":null},{"id":"2604.05550","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","created":"2026-04-07","cited_by_count":23,"area":null},{"id":"2405.17044","title":"Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders","created":"2024-05-27","cited_by_count":22,"area":null},{"id":"2411.11910","title":"AIGS: Generating Science from AI-Powered Automated Falsification","created":"2024-11-17","cited_by_count":18,"area":null},{"id":"2511.16931","title":"OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists","created":"2025-11-21","cited_by_count":18,"area":null},{"id":"2412.14141","title":"LLMs can Realize Combinatorial Creativity: Generating Creative Ideas via LLMs for Scientific Research","created":"2024-12-18","cited_by_count":17,"area":null},{"id":"2503.12600","title":"GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation","created":"2025-03-16","cited_by_count":17,"area":null},{"id":"2604.24658","title":"The Last Human-Written Paper: Agent-Native Research Artifacts","created":"2026-04-27","cited_by_count":16,"area":null},{"id":"2501.18411","title":"Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents","created":"2025-01-30","cited_by_count":13,"area":null},{"id":"2412.10415","title":"Generative Adversarial Reviews: When LLMs Become the Critic","created":"2024-12-09","cited_by_count":12,"area":null},{"id":"2510.16234","title":"ScholarEval: Research Idea Evaluation Grounded in Literature","created":"2025-10-17","cited_by_count":12,"area":null},{"id":"2605.18661","title":"AI for Auto-Research: Roadmap & User Guide","created":"2026-05-18","cited_by_count":11,"area":null},{"id":"2504.02767","title":"How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?","created":"2025-04-03","cited_by_count":10,"area":null},{"id":"2605.19156","title":"How Far Are We From True Auto-Research?","created":"2026-05-18","cited_by_count":10,"area":null},{"id":"2605.23204","title":"AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery","created":"2026-05-22","cited_by_count":10,"area":null},{"id":"2607.01233","title":"Measuring the Gap Between Human and LLM Research Ideas","created":"2026-07-01","cited_by_count":10,"area":null},{"id":"2505.14599","title":"Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models","created":"2025-05-20","cited_by_count":9,"area":null},{"id":"2506.16824","title":"Predicting New Research Directions in Materials Science using Large Language Models and Concept Graphs","created":"2025-06-20","cited_by_count":9,"area":null},{"id":"2510.12367","title":"LLM-REVal: Can We Trust LLM Reviewers Yet?","created":"2025-10-14","cited_by_count":9,"area":null},{"id":"2503.19257","title":"SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings","created":"2025-03-25","cited_by_count":8,"area":null},{"id":"2603.27146","title":"Learning to Predict Future-Aligned Research Proposals with Language Models","created":"2026-03-28","cited_by_count":8,"area":null},{"id":"2412.09429","title":"From Intention To Implementation: Automating Biomedical Research via LLMs","created":"2024-12-12","cited_by_count":7,"area":null},{"id":"2504.08810","title":"PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration","created":"2025-04-09","cited_by_count":7,"area":null},{"id":"2505.08341","title":"Benchmarking AI scientists for omics data driven biological discovery","created":"2025-05-13","cited_by_count":7,"area":null},{"id":"2505.11336","title":"XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration","created":"2025-05-16","cited_by_count":7,"area":null},{"id":"2510.00510","title":"JoyAgent-JDGenie: Technical Report on the GAIA","created":"2025-10-01","cited_by_count":7,"area":null},{"id":"2603.28589","title":"Towards a Medical AI Scientist","created":"2026-03-30","cited_by_count":7,"area":null},{"id":"2606.12071","title":"On the Limits of LLM-as-Judge for Scientific Novelty Assessment","created":"2026-06-10","cited_by_count":7,"area":null},{"id":"2407.18690","title":"Collaborative Evolving Strategy for Automatic Data-Centric Development","created":"2024-07-26","cited_by_count":6,"area":null},{"id":"2410.21195","title":"Belief in the Machine: Investigating Epistemological Blind Spots of Language Models","created":"2024-10-28","cited_by_count":6,"area":null},{"id":"2505.19533","title":"ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models","created":"2025-05-26","cited_by_count":6,"area":null},{"id":"2602.02849","title":"AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents","created":"2026-02-02","cited_by_count":5,"area":null},{"id":"2412.18100","title":"EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent","created":"2024-12-24","cited_by_count":4,"area":null},{"id":"2509.25179","title":"NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2510.24891","title":"Idea2Plan: Exploring AI-Powered Research Planning","created":"2025-10-28","cited_by_count":4,"area":null},{"id":"2512.06879","title":"WisPaper: Your AI Scholar Search Engine","created":"2025-12-07","cited_by_count":4,"area":null},{"id":"2601.16282","title":"Generating Literature-Driven Scientific Theories at Scale","created":"2026-01-22","cited_by_count":4,"area":null},{"id":"2411.06577","title":"Discovering emergent connections in quantum physics research via dynamic word embeddings","created":"2024-11-10","cited_by_count":3,"area":null},{"id":"2504.06549","title":"Societal Impacts Research Requires Benchmarks for Creative Composition Tasks","created":"2025-04-09","cited_by_count":3,"area":null},{"id":"2505.21396","title":"Augmenting Research Ideation with Data: An Empirical Investigation in Social Science","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2510.16549","title":"ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation","created":"2025-10-18","cited_by_count":3,"area":null},{"id":"2603.29557","title":"FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration","created":"2026-03-31","cited_by_count":3,"area":null},{"id":"2605.30333","title":"COMPOSE: Composing Future Theorems from Citations and Formal Structure","created":"2026-05-28","cited_by_count":3,"area":null},{"id":"2609.15973","title":"Discovery Foundation Models: Toward Open-Ended Discovery Intelligence","created":"2026-09-14","cited_by_count":3,"area":null},{"id":"2506.12312","title":"Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research","created":"2025-06-14","cited_by_count":2,"area":null},{"id":"2506.19613","title":"Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2507.02212","title":"SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers","created":"2025-07-03","cited_by_count":2,"area":null},{"id":"2512.00403","title":"SelfAI: A self-directed framework for long-horizon scientific discovery","created":"2025-11-29","cited_by_count":2,"area":null},{"id":"2608.26701","title":"Accelerating Scientific Research with Gemini in the Real-World","created":"2026-08-27","cited_by_count":2,"area":null},{"id":"2609.00747","title":"Can Large Language Models Forecast What Researchers Study Next?","created":"2026-09-01","cited_by_count":2,"area":null},{"id":"2609.01526","title":"EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation","created":"2026-09-01","cited_by_count":2,"area":null},{"id":"2609.02749","title":"Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills","created":"2026-09-02","cited_by_count":2,"area":null},{"id":"2501.00224","title":"Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices","created":"2024-12-31","cited_by_count":1,"area":null},{"id":"2503.18865","title":"Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2507.17209","title":"HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2603.11375","title":"How do AI agents talk about science and research? An exploration of scientific discussions on Moltbook using BERTopic","created":"2026-03-11","cited_by_count":1,"area":null},{"id":"2604.05587","title":"ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2604.15145","title":"An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2605.14790","title":"Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2605.22878","title":"SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2605.30961","title":"EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2606.28336","title":"HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrieval","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2607.20486","title":"OPTScientist: Multi-Agent Discovery of Typed Optimizer Programs for Transformer Pretraining","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2607.28631","title":"Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review","created":"2026-04-18","cited_by_count":1,"area":null},{"id":"2608.03283","title":"AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2608.10740","title":"Tree-of-Ideas: Automated Research Ideation via Cross-Trajectory Reasoning over Scholarly Evolution","created":"2026-08-11","cited_by_count":1,"area":null},{"id":"2608.16645","title":"Reconstruction: A Blind Benchmark for Recovering Research Ideas from Pre-Publication Bibliographies","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2503.10469","title":"Deep Learning based discovery of Integrable Systems","created":"2025-03-13","cited_by_count":0,"area":null},{"id":"2604.12243","title":"Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.12995","title":"PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.19606","title":"AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2605.00557","title":"Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.07208","title":"FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.10574","title":"LLM Jaggedness Unlocks Scientific Creativity","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.15011","title":"The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.08532","title":"DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2606.22166","title":"Rebuttals Move Peer-Review Scores, but Initial-Review Structure Bounds the Movement","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2606.29630","title":"SFBench: The SciFy Scientific Feasibility Benchmark","created":"2026-06-28","cited_by_count":0,"area":null},{"id":"2607.10144","title":"IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2607.14118","title":"Budgeted Subset Refinement for Execution-Aware LLM Research Ideation","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2608.02775","title":"Towards a new paradigm of scientific discovery with socialized artificial intelligence","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.16795","title":"Historical Backtesting for Scientific Question Discovery: A Protocol and Astronomy Pilot","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.20361","title":"Toward Auto-Research: Mining Falsifiable Research Ideas from Paper Knowledge Graphs with Categorical Structure","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2609.31683","title":"Autonomous Research Project Management as an Agent Skill: A Case Study in Exact Spectral Spatial Regression","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2610.04339","title":"ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.04976","title":"Priced Guidance: Can Language Models Generate Future Research Ideas?","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.19206","title":"DUALVIEW: Leveraging Broad and Output-Specific Evidence for LLM-based Multi-Output Text Regression","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.19550","title":"LabCompiler: A Framework for Verifiable Human-Machine Laboratory Execution from Imperfect Protocols","created":"2026-10-14","cited_by_count":0,"area":null},{"id":"2610.19719","title":"Learning Individual Scientific Taste with Privileged Hindsight Distillation","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}