Add link to paper

README.md

@@ -1,17 +1,17 @@
 ---
-license: apache-2.0
-pretty_name: GlobeBench
 language:
 - en
+license: apache-2.0
+size_categories:
+- 1K<n<10K
 task_categories:
 - text-generation
+pretty_name: GlobeBench
 tags:
 - world-models
 - benchmark
 - agents
 - llm-evaluation
-size_categories:
-- 1K<n<10K
 configs:
 - config_name: items
   data_files:
@@ -25,6 +25,8 @@ configs:
 
 # GlobeBench
 
+**Paper:** [GlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations](https://huggingface.co/papers/2610.22708)
+
 GlobeBench evaluates whether a language model can act as a text-based world model: given an agent's trajectory of actions and environment observations, it must predict the environment's response to the next action. The benchmark has 1,632 execution-grounded items across five domains (Code, Enterprise, Games, Math and Science, Dialogue) and 19 simulation skills.
 
 - Code, full model outputs, and judge records: https://github.com/patronus-ai/globebench
@@ -98,4 +100,4 @@ The code and the items authored by Patronus AI are released under Apache-2.0. It
   year   = {2026},
   note   = {arXiv preprint}
 }
-```
+```