Remove paper citation from model card

README.md

@@ -9,14 +9,13 @@ tags:
 - lora
 - peft
 - self-introspection
-- arxiv:2512.15674
 ---
 
 # Activation Oracle for Qwen3.6-27B
 
 This is a PEFT LoRA adapter for `Qwen/Qwen3.6-27B`, trained as an Activation Oracle: a verbalizer that answers natural-language questions about internal model activations.
 
-The adapter is intended for use with the [Activation Oracles](https://arxiv.org/abs/2512.15674) codebase and demo workflow, where target-model activations are injected into the verbalizer via activation steering hooks.
+The adapter is intended for use with the Activation Oracles codebase and demo workflow, where target-model activations are injected into the verbalizer via activation steering hooks.
 
 ## Details
 
@@ -34,7 +33,6 @@ The adapter is intended for use with the [Activation Oracles](https://arxiv.org/
 See the project repository for end-to-end inference code:
 
 - GitHub: https://github.com/federicotorrielli/activation_oracles_qwen36
-- Paper: https://arxiv.org/abs/2512.15674
 
 Basic adapter loading:
 
@@ -48,17 +46,3 @@ model = PeftModel.from_pretrained(base_model, "EvilScript/activation-oracle-qwen
 ```
 
 Loading the adapter alone does not perform activation-oracle inference; the activation collection and steering-hook path is implemented in the repository.
-
-## Citation
-
-```bibtex
-@misc{karvonen2025activationoraclestrainingevaluating,
-  title={Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers},
-  author={Adam Karvonen and James Chua and Clément Dumas and Kit Fraser-Taliente and Subhash Kantamneni and Julian Minder and Euan Ong and Arnab Sen Sharma and Daniel Wen and Owain Evans and Samuel Marks},
-  year={2025},
-  eprint={2512.15674},
-  archivePrefix={arXiv},
-  primaryClass={cs.CL},
-  url={https://arxiv.org/abs/2512.15674}
-}
-```