Revise paper citation and update motivation details

README.md

@@ -6,7 +6,21 @@ This is a repository of Chakra schema and a complementary set of tools and capab
 
 Chakra is under active development as a [MLCommons](https://mlcommons.org/en)® research project. Please see [MLCommons Chakra Working Group](https://mlcommons.org/en/groups/research-chakratracebench/) for more details for participating in this effort.
 
-A detailed description of the original motivation and guiding principles can be found [here](https://arxiv.org/abs/2305.14516). The paper was published prior to Chakra becoming a MLCommons project. Please cite this repository to refer to the latest Chakra schema and tools.
+A detailed description of the motivation, guiding principles and current status can be found in Chakra's MLSys 2026 Paper [here](https://arxiv.org/abs/2605.11333). 
+Please cite this paper and repository to refer to the latest Chakra schema and tools.
+
+```
+@inproceedings{
+sridharan2026mlcommons,
+title={{MLC}ommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces},
+author={Srinivas Sridharan and Andy Balogh and Bradford M. Beckmann and Brian Coutinho and Louis Feng and Sheng Fu and Sanshan Gao and Mehryar Garakani and Taekyung Heo and David Kanter and Josh Ladd and Ziwei Li and Winston Liu and Changhai Man and Dan Mihailescu and Spandan More and Joongun Park and Ashwin Ramachandran and Vinay Ramakrishnaiah and Saeed Rashidi and Vijay Reddi and Puneet Sharma and Phio Tian and William Won and Hanjiang Wu and Huan Xu and Jinsun Yoo and Tushar Krishna},
+booktitle={Ninth Conference on Machine Learning and Systems},
+year={2026},
+location={Bellevue, WA, USA},
+series={MLSys '26},
+url={https://openreview.net/forum?id=s2WcSv2Hzt}
+}
+```
 
 ## Installation