{"total":57,"rows":[{"id":"2504.09644","title":"SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model","created":"2025-04-13","cited_by_count":42,"area":"lr"},{"id":"2508.21148","title":"A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers","created":"2025-08-28","cited_by_count":37,"area":"agents"},{"id":"2505.21089","title":"DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response","created":"2025-05-27","cited_by_count":36,"area":"mllm"},{"id":"2503.07588","title":"When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning","created":"2025-03-10","cited_by_count":35,"area":"mllm"},{"id":"2506.01667","title":"EarthMind: Leveraging Cross-Sensor Data for Advanced Earth Observation Interpretation with a Unified Multimodal LLM","created":"2025-06-02","cited_by_count":18,"area":"mllm"},{"id":"2509.25026","title":"GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning","created":"2025-09-29","cited_by_count":15,"area":"lr"},{"id":"2511.22645","title":"GeoZero: Incentivizing Reasoning from Scratch on Geospatial Scenes","created":"2025-11-27","cited_by_count":14,"area":"lr"},{"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":"2512.17319","title":"A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs","created":"2025-12-19","cited_by_count":11,"area":"lr"},{"id":"2511.23332","title":"UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes","created":"2025-11-28","cited_by_count":10,"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":"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":"2511.02607","title":"UniChange: Unifying Change Detection with Multimodal Large Language Model","created":"2025-11-04","cited_by_count":8,"area":"mllm"},{"id":"2601.21634","title":"RSGround-R1: Rethinking Remote Sensing Visual Grounding through Spatial Reasoning","created":"2026-01-29","cited_by_count":8,"area":"lr"},{"id":"2604.07765","title":"RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs","created":"2026-04-09","cited_by_count":8,"area":"agents"},{"id":"2602.07045","title":"VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing","created":"2026-02-04","cited_by_count":6,"area":"lr"},{"id":"2511.07744","title":"VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics","created":"2025-11-11","cited_by_count":5,"area":null},{"id":"2603.14336","title":"UAVBench and UAVIT-1M: Benchmarking and Enhancing MLLMs for Low-Altitude UAV Vision-Language Understanding","created":"2026-03-15","cited_by_count":5,"area":"mllm"},{"id":"2508.17102","title":"GRASP: Geospatial pixel Reasoning viA Structured Policy learning","created":"2025-08-23","cited_by_count":4,"area":"lr"},{"id":"2601.00998","title":"DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models","created":"2026-01-02","cited_by_count":4,"area":"mllm"},{"id":"2504.19742","title":"EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia","created":"2025-04-28","cited_by_count":3,"area":null},{"id":"2508.05202","title":"SPEX: A Vision-Language Model for Land Cover Extraction on Spectral Remote Sensing Images","created":"2025-08-07","cited_by_count":3,"area":"mllm"},{"id":"2512.17224","title":"Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing","created":"2025-12-19","cited_by_count":3,"area":null},{"id":"2512.24022","title":"FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing","created":"2025-12-30","cited_by_count":3,"area":"mllm"},{"id":"2604.03212","title":"ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow","created":"2026-04-03","cited_by_count":3,"area":null},{"id":"2508.20851","title":"PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis","created":"2025-08-28","cited_by_count":2,"area":"lr"},{"id":"2602.17799","title":"Enabling Training-Free Text-Based Remote Sensing Segmentation","created":"2026-02-19","cited_by_count":2,"area":"mllm"},{"id":"2603.09566","title":"GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning","created":"2026-03-10","cited_by_count":2,"area":"mllm"},{"id":"2603.10703","title":"WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation","created":"2026-03-11","cited_by_count":2,"area":"mllm"},{"id":"2604.10591","title":"GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing","created":"2026-04-12","cited_by_count":2,"area":null},{"id":"2604.24919","title":"Agentic AI for Remote Sensing: Technical Challenges and Research Directions","created":"2026-04-27","cited_by_count":2,"area":"agents"},{"id":"2607.10120","title":"WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding","created":"2026-07-11","cited_by_count":2,"area":"lr"},{"id":"2504.13310","title":"SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling","created":"2025-04-17","cited_by_count":1,"area":null},{"id":"2505.22627","title":"Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2603.25565","title":"GeoHeight-Bench: Towards Height-Aware Multimodal Reasoning in Remote Sensing","created":"2026-03-26","cited_by_count":1,"area":"mllm"},{"id":"2605.02738","title":"AI and Open-data Driven Scalable Solar Power Profiling","created":"2026-05-04","cited_by_count":1,"area":null},{"id":"2605.12237","title":"UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs","created":"2026-05-12","cited_by_count":1,"area":"mllm"},{"id":"2605.23500","title":"B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation","created":"2026-05-22","cited_by_count":1,"area":"agents"},{"id":"2606.00987","title":"An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation","created":"2026-05-31","cited_by_count":1,"area":"lr"},{"id":"2607.01050","title":"GeoSearcher: Anchor-Guided Progressive Reasoning for Remote Sensing Visual Grounding with Process Supervision","created":"2026-07-01","cited_by_count":1,"area":"lr"},{"id":"2608.03147","title":"CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2511.08156","title":"LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2512.11680","title":"Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensing","created":"2025-12-12","cited_by_count":0,"area":"lr"},{"id":"2512.17492","title":"MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2603.14609","title":"GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data","created":"2026-03-15","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":"2605.16903","title":"WOW-Seg: A Word-free Open World Segmentation Model","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.17949","title":"SkyNative: A Native Multimodal Architecture for Remote Sensing Vision-Language Understanding","created":"2026-05-18","cited_by_count":0,"area":"mllm"},{"id":"2605.25784","title":"Beyond Appearance: Can Multimodal Large Language Models Exploit Vertical Structure for Remote Sensing Natural Scene Understanding?","created":"2026-05-25","cited_by_count":0,"area":"mllm"},{"id":"2606.10468","title":"Geometric Coastline Localization using Vision-Language Models","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.15768","title":"GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing","created":"2026-07-17","cited_by_count":0,"area":"lr"},{"id":"2607.15942","title":"More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe","created":"2026-07-17","cited_by_count":0,"area":"mllm"},{"id":"2609.08391","title":"From Coordinates to Candidate Regions: Temporal Change Localization via Region Selection in Remote Sensing Multimodal LLMs","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.12533","title":"Earth-Agent-Pro: Towards Real-World Full-Chain Earth Observation with Agents","created":"2026-09-11","cited_by_count":0,"area":"agents"},{"id":"2609.29541","title":"GeoRefer-Bench: A Benchmark from Referring Pixels to Verifiable Geospatial Reasoning","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2610.13535","title":"Knowing Whether, Not Just Where: Anchor-Probing Distillation for Open-Set Remote Sensing Visual Grounding","created":"2026-10-09","cited_by_count":0,"area":null},{"id":"2610.14624","title":"EarthAlign: Learning Language-Aligned Representations of Earth System Data","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}