Model card: paper DOI

README.md

@@ -24,7 +24,8 @@ the `POST /v1/systemone` request shape (choice, yes/no and score questions over
 decisions and for browser-agent steps (*which operation? which element?*). It runs on your own GPU: no API key,
 no per-call cost, nothing generated.
 
-Code, training and evaluation: [alanhuangyoo/wev](https://github.com/alanhuangyoo/wev). Independent project; not affiliated
+Code, training and evaluation: [alanhuangyoo/wev](https://github.com/alanhuangyoo/wev). Paper:
+[doi:10.5281/zenodo.22941164](https://zenodo.org/records/22941164). Independent project; not affiliated
 with TypeSafe AI.
 
 ## Quickstart
@@ -132,10 +133,12 @@ Jun Huang and Xin Ren contributed equally (University of Electronic Science and
 
 ```bibtex
 @misc{huang2026wev,
-  title  = {wev: Distilling LLM Browser Agents into Open, Local System-One Decision Models},
-  author = {Huang, Jun and Ren, Xin},
-  year   = {2026},
-  url    = {https://github.com/alanhuangyoo/wev}
+  title     = {wev: Distilling LLM Browser Agents into Open, Local System-One Decision Models},
+  author    = {Huang, Jun and Ren, Xin},
+  year      = {2026},
+  publisher = {Zenodo},
+  doi       = {10.5281/zenodo.22941164},
+  url       = {https://doi.org/10.5281/zenodo.22941164}
 }
 ```