PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models 事件

PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models arXiv:2602.00415v2 Announce Type: replace Abstract: Memory is not merely a storage mechanism for intelligent systems, but a structure for organizing evidence and constraining belief. This is especially important for multimodal reasoning, where retrieved evidence must be both query-relevant and visually consistent. However, current memory systems for vision-language models (VLMs) remain largely positive