{"total":15,"rows":[{"id":"2509.18905","title":"How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective","created":"2025-09-23","cited_by_count":43,"area":"lr"},{"id":"2510.25760","title":"Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks","created":"2025-10-29","cited_by_count":33,"area":"lr"},{"id":"2511.15722","title":"Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods","created":"2025-11-14","cited_by_count":23,"area":"lr"},{"id":"2511.07403","title":"SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards","created":"2025-11-10","cited_by_count":16,"area":"lr"},{"id":"2605.20177","title":"From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models","created":"2026-05-19","cited_by_count":6,"area":"lr"},{"id":"2510.22118","title":"GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation","created":"2025-10-25","cited_by_count":3,"area":"lr"},{"id":"2512.02340","title":"Reasoning Path and Latent State Analysis for Multi-view Visual Spatial Reasoning: A Cognitive Science Perspective","created":"2025-12-02","cited_by_count":3,"area":"lr"},{"id":"2602.07082","title":"MosaicThinker: On-Device Visual Spatial Reasoning for Embodied AI via Iterative Construction of Space Representation","created":"2026-02-06","cited_by_count":2,"area":"lr"},{"id":"2606.11683","title":"Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning","created":"2026-06-10","cited_by_count":2,"area":"lr"},{"id":"2605.19382","title":"PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning","created":"2026-05-19","cited_by_count":1,"area":"lr"},{"id":"2511.00054","title":"SpatialTraceGen: High-Fidelity Traces for Efficient VLM Spatial Reasoning Distillation","created":"2025-10-28","cited_by_count":0,"area":"lr"},{"id":"2604.14641","title":"Learning to Draw ASCII Improves Spatial Reasoning in Language Models","created":"2026-04-16","cited_by_count":0,"area":"lr"},{"id":"2609.30952","title":"MVVBench: Benchmarking 4D Reasoning in Vision-Language Models","created":"2026-09-25","cited_by_count":0,"area":"lr"},{"id":"2610.18694","title":"GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models","created":"2026-10-13","cited_by_count":0,"area":"lr"},{"id":"2610.19108","title":"Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}