Add link to paper

README.md

@@ -1,42 +1,44 @@
 ---
-pretty_name: VMem-Bench
 language:
-  - en
-  - zh
+- en
+- zh
 license: cc-by-4.0
-task_categories:
-  - text-to-video
-  - visual-question-answering
 size_categories:
-  - n<1K
+- n<1K
+task_categories:
+- text-to-video
+- visual-question-answering
+pretty_name: VMem-Bench
 tags:
-  - video
-  - long-video
-  - video-generation
-  - long-context
-  - memory
-  - world-memory
-  - benchmark
-  - evaluation
-  - causal-video
-  - long-range-memory
-  - lsmdc
-  - blender
-  - open-movies
-  - text
-  - prompts
-  - memstrata
-  - vmem
+- video
+- long-video
+- video-generation
+- long-context
+- memory
+- world-memory
+- benchmark
+- evaluation
+- causal-video
+- long-range-memory
+- lsmdc
+- blender
+- open-movies
+- text
+- prompts
+- memstrata
+- vmem
 configs:
-  - config_name: trackA
-    default: true
-    data_files: index/trackA_movies.jsonl
-  - config_name: trackB
-    data_files: index/trackB_stories.jsonl
+- config_name: trackA
+  default: true
+  data_files: index/trackA_movies.jsonl
+- config_name: trackB
+  data_files: index/trackB_stories.jsonl
 ---
 
 # VMem-Bench
 
+**Paper:** [More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation](https://huggingface.co/papers/2610.35001)
+
 Text **gold labels and SUT prompts** for [VMem-Bench](https://github.com/Suchenl/VMem-Bench): a benchmark of **long-range visual memory** in **causal long video generation**. This Hugging Face repo has **no source videos**.
 
 | Track | Question | What the system under test sees | What this repo ships |
@@ -104,4 +106,4 @@ JSON files in this dataset: **CC BY 4.0** (`LICENSE`) — reuse is allowed, incl
 }
 ```
 
-When using LSMDC titles, also cite Rohrbach et al., IJCV 2017.
+When using LSMDC titles, also cite Rohrbach et al., IJCV 2017.