Add model card, links to paper and official repository

README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+base_model: meta-llama/Llama-3.1-8B-Instruct
+---
+
+# SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering
+
+This repository contains the fine-tuned Llama-3.1-8B model checkpoint developed using the SPADER reinforcement learning framework, as presented in the paper [SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering](https://huggingface.co/papers/2606.00593).
+
+## Model Description
+
+SPADER is a reinforcement learning framework designed for long-horizon tool-use agents in Multi-Answer QA. It introduces:
+- **Step-wise Peer Advantage (SPA)**: A critic-free step-level credit assignment mechanism that aligns parallel trajectories by decision step and estimates advantages from peer returns.
+- **Diversity-Aware Exploration Reward**: Promotes long-tail entity discovery by upweighting rare findings and downweighting redundant ones.
+
+This checkpoint represents the Llama-3.1-8B-Instruct base model trained with SPADER.
+
+- **Repository:** [KhanCold/spader](https://github.com/KhanCold/spader)
+- **Paper:** [arXiv:2606.00593](https://arxiv.org/abs/2606.00593)
+
+## Citation
+
+```bibtex
+@misc{shi2026spaderstepwisepeeradvantage,
+      title={SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering}, 
+      author={Qiming Shi and Zhaolu Kang and Yunfan Zhou and Di Weng and Yingcai Wu},
+      year={2026},
+      eprint={2606.00593},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2606.00593}, 
+}
+```