[
    {
        "paper": {
            "title": "Deep Learning Advances in Computer Vision",
            "abstract": "This paper presents recent advances in deep learning approaches for computer vision tasks. We discuss novel architectures that have achieved state-of-the-art results in image classification, object detection, and semantic segmentation.\n\nOur comprehensive analysis shows that attention mechanisms and multi-scale feature fusion are key components for improving model performance.",
            "arxiv_id": "2301.0001"
        },
        "decision": "accept",
        "explanation": "Excellent comprehensive review with novel insights. The analysis of attention mechanisms is particularly valuable."
    },
    {
        "paper": {
            "title": "Quantum Computing: A Survey of Current Challenges",
            "abstract": "We survey the current challenges in quantum computing, focusing on error correction, qubit coherence, and scalability issues. The paper provides a systematic review of recent approaches to these challenges.",
            "arxiv_id": "2301.0002"
        },
        "decision": "accept",
        "explanation": "Well-structured survey that effectively summarizes the field's major challenges."
    },
    {
        "paper": {
            "title": "Blockchain in Healthcare",
            "abstract": "This paper proposes a blockchain-based system for managing electronic health records. We discuss implementation details and potential privacy concerns.",
            "arxiv_id": "2301.0003"
        },
        "decision": "reject",
        "explanation": "The proposed system lacks novelty and does not adequately address existing privacy solutions in the field."
    }
]