IVT-Guard: All-in-One Reasoning Model for AI-Generated Content Detection

arXiv:2609.33585 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/mattc95/2026-AI-DETECTOR-BENCHMARK

Terminology

• Accuracy — 55× in this paper · explained in 1 episode
• Consistency — 29× in this paper · explained in 3 episodes
• Benchmark — 20× in this paper · explained in 2 episodes
• GRPO — 20× in this paper · explained in 6 episodes
• Generalization — 14× in this paper · explained in 13 episodes
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Artifact-Aware Pre-training — 8× in this paper
• Ablation — 7× in this paper · explained in 1 episode
• Spatial Perceptual Amplifier — 5× in this paper
• Temporal Perceptual Amplifier — 5× in this paper
• Ablation study — 4× in this paper · explained in 1 episode
• Adam — 4× in this paper · explained in 2 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Temporal consistency — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 3× in this paper · explained in 4 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• LLM judge — 3× in this paper · explained in 2 episodes
• Multimodal Reasoning — 3× in this paper · explained in 5 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Perception Encoder — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

• gpt-oss-120b & gpt-oss-20b Model Card
• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
• Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
• Seedance 1.0: Exploring the Boundaries of Video Generation Models
• The Llama 3 Herd of Models
• How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• LTX-Video: Realtime Video Latent Diffusion
• Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
• GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
• GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
• GPT-4o System Card
• Progressive Growing of GANs for Improved Quality, Stability, and Variation
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

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