Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection | Paper Citation Record

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Qwen3-VL Technical Report

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Qwen2.5-VL Technical Report

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This paper cites Autonomous Robots42(2), 177–196 (2018).

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Autonomous Robots42(2), 177–196 (2018)

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the Computer Vision and Pattern Recognition Conference

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This paper cites IEEE Transactions on Computational Intelligence and AI in games4(1), 1–43 (2012).

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection IEEE Transactions on Computational Intelligence and AI in games4(1), 1–43 (2012)

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection SAM 3: Segment Anything with Concepts

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This paper cites AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection.

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 10

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This paper cites arXiv preprint arXiv:2511.22436 (2025).

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection arXiv preprint arXiv:2511.22436 (2025)

Reference 12

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This paper cites AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection.

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Reference 13

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO

Reference 14

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Neuron36(5), 791–804 (2002)

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This paper cites Advances in Neural Information Processing Systems37, 22124–22153 (2024) GLLS for Verifiable Industrial Anomaly Detection 17.

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Advances in Neural Information Processing Systems37, 22124–22153 (2024) GLLS for Verifiable Industrial Anomaly Detection 17

Reference 17

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection GPT-4o System Card

Reference 18

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection OpenAI o1 System Card

Reference 19

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: 2021 13th International congress on ultra modern telecommunications and control systems and workshops (ICUMT)

Reference 21

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Reference 22

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 24

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: ICML

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection

Reference 26

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 28

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection https : / / openai

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Reference 34

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

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This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Advances in neural information processing systems35, 24824–24837 (2022)

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: DAGM symposium in

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection MiniCPM-V: A GPT-4V Level MLLM on Your Phone

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 40

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: 2025 IEEE International Conference on Multimedia and Expo (ICME)

Reference 42

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: International Conference on Learning Representations

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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection In: European conference on computer vision

Reference 46

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