Abstraction as a Memory-Efficient Inductive Bias for Continual Learning

## Episode Summary In this episode, we cover: - **Abstraction as a Memory-Efficient Inductive Bias for Continual Learning** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.17198) - **AgentRVOS: Reasoning over Object Tracks for Zero-Shot Referring Video Object Segmentation** (arXiv) - [Read more](http://arxiv.org/abs/2603.23489v1) - **UniFunc3D: Unified Active Spatial-Temporal Grounding for 3D Functionality Segmentation** (arXiv) - [Read more](http://arxiv.org/abs/2603.23478v1) - **ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains** (arXiv) - [Read more](http://arxiv.org/abs/2603.23482v1) - **CanViT: Toward Active-Vision Foundation Models** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.22570) --- *Sponsored by LimitLess AI*