{"total":22,"rows":[{"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":"2509.21976","title":"Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning","created":"2025-09-26","cited_by_count":20,"area":null},{"id":"2603.00988","title":"Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality","created":"2026-03-01","cited_by_count":12,"area":null},{"id":"2512.20013","title":"SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images","created":"2025-12-23","cited_by_count":10,"area":null},{"id":"2509.17562","title":"Visual Instruction Pretraining for Domain-Specific Foundation Models","created":"2025-09-22","cited_by_count":9,"area":null},{"id":"2505.15818","title":"InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition","created":"2025-05-21","cited_by_count":8,"area":null},{"id":"2411.07688","title":"ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG","created":"2024-11-12","cited_by_count":6,"area":null},{"id":"2602.12617","title":"GeoAgent: Learning to Geolocate Everywhere with Reinforced Geographic Characteristics","created":"2026-02-13","cited_by_count":5,"area":null},{"id":"2508.06832","title":"Remote Sensing Image Intelligent Interpretation with the Language-Centered Perspective: Principles, Methods and Challenges","created":"2025-08-09","cited_by_count":1,"area":null},{"id":"2602.19190","title":"FUSAR-GPT : A Spatiotemporal Feature-Embedded and Two-Stage Decoupled Visual Language Model for SAR Imagery","created":"2026-02-22","cited_by_count":1,"area":null},{"id":"2603.01758","title":"Unifying Heterogeneous Multi-Modal Remote Sensing Detection Via Language-Pivoted Pretraining","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2605.04503","title":"DiffCap-Bench: A Comprehensive, Challenging, Robust Benchmark for Image Difference Captioning","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2605.07522","title":"WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2512.11490","title":"VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2512.15531","title":"An Efficient and Effective Encoder Model for Vision and Language Tasks in the Remote Sensing Domain","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2604.11415","title":"Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.22855","title":"Evaluating Remote Sensing Image Captions Beyond Metric Biases","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2606.10701","title":"Vector Map as Language: Toward Unified Remote Sensing Vector Mapping","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.28920","title":"ExACT: Exemplar-Driven Calibrated Refinement for Training-Free Visual Grounding in Remote Sensing Images","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2607.06552","title":"MonoIR-RS: Infrared Remote Sensing Vision-Language Learning with CLIP and VLM Adaptation","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.16819","title":"FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2609.31234","title":"WeaveAgent: A Two-Stage Tool-Routing Agent for Ultra-High-Resolution Remote Sensing Imagery","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}