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How Python does AI: agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end. - Release v2.33.0 (2026-08-20) · pydantic/pydantic-ai
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Abstract page for arXiv paper 2608.19553: Where Grounding Accuracy Lives on the IoU Curve: Label-Free Inference-Time Boundary Refinement
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Abstract page for arXiv paper 2608.19536: CVSD-Reg: Cross-Modal Visual Semantic Prior Distillation for Robust LiDAR Registration
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Abstract page for arXiv paper 2608.19480: VideoRun2D Demo: Markerless Body Tracking for Biomechanical Analysis of Running
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Abstract page for arXiv paper 2608.19298: SceneGTMM: A Conformal Mapping-based Scene-Aware Transferable GNN-Transformer Dual-Graph Interaction Framework for Map Matching
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Abstract page for arXiv paper 2608.19218: Time-Series Retrieval for Grounding Multimodal Language Models in Remaining Useful Life
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Abstract page for arXiv paper 2608.19211: Represented but Ignored: A Causal Account of Prosodic Underuse in Audio-Language Models
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Abstract page for arXiv paper 2608.19208: When Irrelevant Text Matters: Affine Margin Shifts in Multimodal Large Language Models
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Abstract page for arXiv paper 2608.19207: Compliance, Capability, and Conflict: Benchmarking Multimodal LLMs under System Messages
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Abstract page for arXiv paper 2608.19206: Hallucination as a Feature, not a Defect: Evaluating a multi-agent architecture to transform speculative language-model outputs into testable scientific hypotheses
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Abstract page for arXiv paper 2608.19203: Asymmetric Attention Heads: Structured Head-Wise Context Allocation for Transformer Attention
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Abstract page for arXiv paper 2608.19200: Transformer Models for Text Summarization: A Comparative Study of BART, BERT, and RoBERTa