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diff --git a/.github/citation/citation.json b/.github/citation/citation.json
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+{"Harnessing Deep Neural Networks with Logic Rules": {"citation": 770, "last update": "2024-09-18"}, "Deep Learning with Logical Constraints": {"citation": 63, "last update": "2024-09-18"}, "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints": {"citation": 5, "last update": "2024-09-18"}, "Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification": {"citation": 236, "last update": "2024-09-18"}, "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators": {"citation": 22, "last update": "2024-09-18"}, "Rewriting a Deep Generative Model": {"citation": 124, "last update": "2024-09-18"}, "DeepProbLog: Neural Probabilistic Logic Programming": {"citation": 612, "last update": "2024-09-18"}, "Guided Open Vocabulary Image Captioning with Constrained Beam Search": {"citation": 255, "last update": "2024-09-18"}, "DeepEdit: Knowledge Editing as Decoding with Constraints": {"citation": 11, "last update": "2024-09-18"}, "Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation": {"citation": 25, "last update": "2024-09-18"}, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images": {"citation": 232, "last update": "2024-09-18"}, "MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks": {"citation": 54, "last update": "2024-09-18"}, "Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)": {"citation": 1989, "last update": "2024-09-18"}, "Label-free Concept Bottleneck Models": {"citation": 104, "last update": "2024-09-18"}, "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification": {"citation": 142, "last update": "2024-09-18"}, "Editing a classifier by rewriting its prediction rules": {"citation": 73, "last update": "2024-09-18"}, "Concept Bottleneck Models": {"citation": 728, "last update": "2024-09-18"}, "Interactive Concept Bottleneck Models": {"citation": 41, "last update": "2024-09-18"}, "Promises and Pitfalls of Black-Box Concept Learning Models": {"citation": 80, "last update": "2024-09-18"}, "Addressing Leakage in Concept Bottleneck Models": {"citation": 50, "last update": "2024-09-18"}, "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning": {"citation": 343, "last update": "2024-09-18"}, "POST-HOC CONCEPT BOTTLENECK MODELS": {"citation": 159, "last update": "2024-09-18"}, "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat": {"citation": 7, "last update": "2024-09-18"}, "A Semantic Loss Function for Deep Learning with Symbolic Knowledge": {"citation": 529, "last update": "2024-09-18"}, "Neurologic decoding:(un) supervised neural text generation with predicate logic constraints": {"citation": 125, "last update": "2024-09-18"}, "A review of some techniques for inclusion of domain-knowledge into deep neural networks": {"citation": 147, "last update": "2024-09-18"}, "Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems": {"citation": 749, "last update": "2024-09-18"}, "The Connectionist Inductive Learning and Logic Programming System": {"citation": 252, "last update": "2024-09-18"}}
diff --git a/README.md b/README.md
@@ -36,7 +36,7 @@ A list of awesome resources related to constraint learning
 |EMNLP 2017|Guided Open Vocabulary Image Captioning with Constrained Beam Search|The Australian National University| [[paper]](https://aclanthology.org/D17-1098.pdf)![Scholar citations](https://img.shields.io/badge/Citations-255-_.svg?logo=google-scholar&labelColor=4f4f4f&color=3388ee)| [[code]](https://github.com/nocaps-org/updown-baseline)![GitHub stars](https://img.shields.io/github/stars/nocaps-org/updown-baseline.svg?logo=github&label=Stars)|
 |NIPS 2022|Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation|NUS| [[paper]](https://diff-tl.github.io/assets/docs/dtl_neurips2022.pdf)![Scholar citations](https://img.shields.io/badge/Citations-25-_.svg?logo=google-scholar&labelColor=4f4f4f&color=3388ee)| [[code]](https://github.com/ZiweiXU/DTL-action-segmentation)![GitHub stars](https://img.shields.io/github/stars/ZiweiXU/DTL-action-segmentation.svg?logo=github&label=Stars)|
 |AAAI 2021|MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks|University of Edinburgh| [[paper]](https://arxiv.org/pdf/2111.01564.pdf)![Scholar citations](https://img.shields.io/badge/Citations-54-_.svg?logo=google-scholar&labelColor=4f4f4f&color=3388ee)| [[code]](https://github.com/NickHoernle/semantic_loss)![GitHub stars](https://img.shields.io/github/stars/NickHoernle/semantic_loss.svg?logo=github&label=Stars)|
-|NIPS 2018|DeepProbLog: Neural Probabilistic Logic Programming|KU Leuven| [[paper]](https://arxiv.org/pdf/1805.10872.pdf)![Scholar citations](https://img.shields.io/badge/Citations-611-_.svg?logo=google-scholar&labelColor=4f4f4f&color=3388ee)| [[code]](https://github.com/ML-KULeuven/deepproblog)![GitHub stars](https://img.shields.io/github/stars/ML-KULeuven/deepproblog.svg?logo=github&label=Stars)|
+|NIPS 2018|DeepProbLog: Neural Probabilistic Logic Programming|KU Leuven| [[paper]](https://arxiv.org/pdf/1805.10872.pdf)![Scholar citations](https://img.shields.io/badge/Citations-612-_.svg?logo=google-scholar&labelColor=4f4f4f&color=3388ee)| [[code]](https://github.com/ML-KULeuven/deepproblog)![GitHub stars](https://img.shields.io/github/stars/ML-KULeuven/deepproblog.svg?logo=github&label=Stars)|
 |ICML 2022|Injecting Logical Constraints into Neural Networks via Straight-Through Estimators|Arizona State University| [[paper]](https://arxiv.org/pdf/2307.04347.pdf)![Scholar citations](https://img.shields.io/badge/Citations-22-_.svg?logo=google-scholar&labelColor=4f4f4f&color=3388ee)| [[code]](https://github.com/azreasoners/cl-ste)![GitHub stars](https://img.shields.io/github/stars/azreasoners/cl-ste.svg?logo=github&label=Stars)|
 ### Concept bottleneck models
 | Venue | Title | Affiliation | &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Link&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | &nbsp;&nbsp;Source&nbsp;&nbsp; |