{"total":15,"rows":[{"id":"2602.20557","title":"GENSR: Symbolic Regression Based in Equation Generative Space","created":"2026-02-24","cited_by_count":9,"area":null},{"id":"2505.18602","title":"LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression","created":"2025-05-24","cited_by_count":6,"area":null},{"id":"2508.21484","title":"Data-driven Discovery of Digital Twins in Biomedical Research","created":"2025-08-29","cited_by_count":2,"area":null},{"id":"2602.08885","title":"Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression","created":"2026-02-09","cited_by_count":2,"area":null},{"id":"2602.15146","title":"Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis","created":"2026-02-16","cited_by_count":2,"area":null},{"id":"2509.21780","title":"Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2604.08324","title":"Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2605.07323","title":"Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.07915","title":"EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2607.23753","title":"On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2608.16876","title":"AutoSR: Automatic Symbolic Regression by Searching Research States","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.20997","title":"MOSAIC-SR: Transformer-Guided Symbolic Regression for Scientific Equation Recovery","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.31965","title":"SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.32597","title":"Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.16812","title":"DASS: A Solver-Adaptable Dynamic Auxiliary Search Strategy for Symbolic Regression","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}