update metrics and citation

README.md

@@ -56,6 +56,36 @@ SparseEncoder(
 )
 ```
 
+### Metrics
+```
+{
+    "NDCG": {
+        "NDCG@2": 0.82678,
+        "NDCG@10": 0.86919,
+        "NDCG@20": 0.87429,
+        "NDCG@100": 0.87886
+    },
+    "MAP": {
+        "MAP@2": 0.8145,
+        "MAP@10": 0.84849,
+        "MAP@20": 0.85042,
+        "MAP@100": 0.85119
+    },
+    "Recall": {
+        "Recall@2": 0.8235,
+        "Recall@10": 0.905,
+        "Recall@20": 0.9215,
+        "Recall@100": 0.942
+    },
+    "Precision": {
+        "P@2": 0.8235,
+        "P@10": 0.181,
+        "P@20": 0.09215,
+        "P@100": 0.01884
+    }
+}
+```
+
 ## Usage
 
 ### Direct Usage (Sentence Transformers)
@@ -314,6 +344,40 @@ You can finetune this model on your own dataset.
 }
 ```
 
+#### LIMIT
+@misc{weller2025theoreticallimit,
+      title={On the Theoretical Limitations of Embedding-Based Retrieval}, 
+      author={Orion Weller and Michael Boratko and Iftekhar Naim and Jinhyuk Lee},
+      year={2025},
+      eprint={2508.21038},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2508.21038}, 
+}
+
+#### OpenSearch Models
+@inproceedings{Shen_2025, series={SIGIR ’25},
+   title={Exploring $\ell_0$ parsification for Inference-free Sparse Retrievers},
+   url={http://dx.doi.org/10.1145/3726302.3730192},
+   DOI={10.1145/3726302.3730192},
+   booktitle={Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval},
+   publisher={ACM},
+   author={Shen, Xinjie and Geng, Zhichao and Yang, Yang},
+   year={2025},
+   month=jul, pages={2572–2576},
+   collection={SIGIR ’25} 
+}
+
+@misc{geng2025competitivesearchrelevanceinferencefree,
+      title={Towards Competitive Search Relevance For Inference-Free Learned Sparse Retrievers}, 
+      author={Zhichao Geng and Yiwen Wang and Dongyu Ru and Yang Yang},
+      year={2025},
+      eprint={2411.04403},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2411.04403}, 
+}
+
 #### SpladeLoss
 ```bibtex
 @misc{formal2022distillationhardnegativesampling,