(docs): udpate readme.

Author: PanAndy

README.md

@@ -43,6 +43,7 @@ Leveraging a multi-role distributed architecture with Ray for flexible resource
 
 | 📣   Updates                                                                                                                                                                                                                                                                                                                            |
 |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **[01/01/2026]** 🎉 Our [Let It Flow: Agentic Crafting on Rock and Roll](https://arxiv.org/abs/2512.24873) report released! Introducing ALE ecosystem and ROME, an open-source agentic model with novel IPA algorithm.   |
 | **[11/08/2025]** 🎉 Our [ROCK: Reinforcement Open Construction Kit](https://github.com/alibaba/ROCK) released, Explore the new capabilities!.                                                                                                                                                                                           |
 | **[10/23/2025]** 🎉 Our Papers released, see [Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning](https://arxiv.org/abs/2510.01656) and [Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization](https://arxiv.org/abs/2510.13554).                         |
 | **[10/14/2025]** 🎉 Our Paper released, see [Part II: ROLL Flash -- Accelerating RLVR and Agentic Training with Asynchrony](https://arxiv.org/abs/2510.11345).                                                                                                                                                                          |
@@ -164,6 +165,7 @@ We are continuously working to expand ROLL's capabilities:
 ---
 
 ## 🏆 Notable work based on ROLL
+- [STAgent](https://arxiv.org/abs/2512.24957): An agentic LLM specialized for spatio-temporal understanding and complex tasks like constrained POI discovery and itinerary planning, featuring hierarchical data curation with 1:10,000 filter ratio and cascaded training (seed SFT + difficulty-aware SFT + RL), achieving strong performance on TravelBench while preserving general capabilities.
 - [IPRO](https://arxiv.org/abs/2510.14255): A novel video diffusion framework using reinforcement learning to enhance identity preservation in human-centric I2V generation, optimizing diffusion models with face identity scorer and KL-divergence regularization.
 - [TaoSR-SHE](https://arxiv.org/abs/2510.07972): Stepwise Hybrid Examination Reinforcement Learning Framework for Taobao Search Relevance, with SRPO (hybrid reward model + offline verifier), diversified data filtering, and multi-stage curriculum learning.
 - [EARL](https://arxiv.org/abs/2510.05943): Efficient Agentic RL Systems for LLMs, introducing a dynamic parallelism selector and a layout-aware data dispatcher to boost throughput, reduce memory and data movement bottlenecks, enabling stable large-scale agentic RL without hard context-length limits.