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			<guid><![CDATA[https://provide.ai/learning-koopman-operators-for-coupled-systems-via-information-on-governing-equations-of-subsystems/]]></guid>
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			<guid><![CDATA[https://provide.ai/stochastic-modeling-of-human-machine-authentication-channels-under-partial-information-leakage/]]></guid>
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			<guid><![CDATA[https://provide.ai/pair2score-pairwise-to-absolute-transfer-for-llm-based-essay-scoring/]]></guid>
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			<guid><![CDATA[https://provide.ai/spectral-graph-sparsification-preserves-representation-geometry-in-graph-neural-networks/]]></guid>
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			<guid><![CDATA[https://provide.ai/tagrag-tag-guided-hierarchical-knowledge-graph-retrieval-augmented-generation/]]></guid>
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			<title>TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation</title>
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			<guid><![CDATA[https://provide.ai/seeing-realism-from-simulation-efficient-video-transfer-for-vision-language-action-data-augmentation/]]></guid>
			<link><![CDATA[https://provide.ai/seeing-realism-from-simulation-efficient-video-transfer-for-vision-language-action-data-augmentation/]]></link>
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			<guid><![CDATA[https://provide.ai/qhyer-q-conditioned-hybrid-attention-mamba-transformer-for-offline-goal-conditioned-rl/]]></guid>
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			<title>QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL</title>
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			<guid><![CDATA[https://provide.ai/bucketing-the-good-apples-a-method-for-diagnosing-and-improving-causal-abstraction/]]></guid>
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			<title>Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction</title>
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			<guid><![CDATA[https://provide.ai/the-causal-description-gap-information-theoretic-separations-across-pearls-hierarchy/]]></guid>
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			<title>The Causal Description Gap: Information-Theoretic Separations Across Pearl&#8217;s Hierarchy</title>
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			<guid><![CDATA[https://provide.ai/jina-vlm-small-multilingual-vision-language-model/]]></guid>
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			<title>jina-vlm: Small Multilingual Vision Language Model</title>
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			<guid><![CDATA[https://provide.ai/saga-a-robust-self-attention-and-goal-aware-anchor-based-planner-for-safe-uav-autonomous-navigation/]]></guid>
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			<title>SAGA: A Robust Self-Attention and Goal-Aware Anchor-based Planner for Safe UAV Autonomous Navigation</title>
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			<guid><![CDATA[https://provide.ai/provably-learning-attention-with-queries/]]></guid>
			<link><![CDATA[https://provide.ai/provably-learning-attention-with-queries/]]></link>
			<title>Provably Learning Attention with Queries</title>
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			<guid><![CDATA[https://provide.ai/enhanced-llm-reasoning-by-optimizing-reward-functions-with-search-driven-reinforcement-learning/]]></guid>
			<link><![CDATA[https://provide.ai/enhanced-llm-reasoning-by-optimizing-reward-functions-with-search-driven-reinforcement-learning/]]></link>
			<title>Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning</title>
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			<guid><![CDATA[https://provide.ai/metric-normalized-posterior-leakage-mpl-attacker-aligned-privacy-for-joint-consumption/]]></guid>
			<link><![CDATA[https://provide.ai/metric-normalized-posterior-leakage-mpl-attacker-aligned-privacy-for-joint-consumption/]]></link>
			<title>Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption</title>
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			<guid><![CDATA[https://provide.ai/toward-culturally-grounded-natural-language-processing-2/]]></guid>
			<link><![CDATA[https://provide.ai/toward-culturally-grounded-natural-language-processing-2/]]></link>
			<title>Toward Culturally Grounded Natural Language Processing</title>
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			<guid><![CDATA[https://provide.ai/edge-case-detection-in-automated-driving-methods-challenges-and-future-directions/]]></guid>
			<link><![CDATA[https://provide.ai/edge-case-detection-in-automated-driving-methods-challenges-and-future-directions/]]></link>
			<title>Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/robust-conditional-conformal-prediction-via-branched-normalizing-flow/]]></guid>
			<link><![CDATA[https://provide.ai/robust-conditional-conformal-prediction-via-branched-normalizing-flow/]]></link>
			<title>Robust Conditional Conformal Prediction via Branched Normalizing Flow</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/zero-shot-confidence-estimation-for-small-llms-when-supervised-baselines-arent-worth-training/]]></guid>
			<link><![CDATA[https://provide.ai/zero-shot-confidence-estimation-for-small-llms-when-supervised-baselines-arent-worth-training/]]></link>
			<title>Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren&#8217;t Worth Training</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/measuring-differences-between-conditional-distributions-using-kernel-embeddings/]]></guid>
			<link><![CDATA[https://provide.ai/measuring-differences-between-conditional-distributions-using-kernel-embeddings/]]></link>
			<title>Measuring Differences between Conditional Distributions using Kernel Embeddings</title>
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			<guid><![CDATA[https://provide.ai/multiple-choice-questions-reasoning-makes-large-language-models-llms-more-self-confident-especially-when-they-are-wrong/]]></guid>
			<link><![CDATA[https://provide.ai/multiple-choice-questions-reasoning-makes-large-language-models-llms-more-self-confident-especially-when-they-are-wrong/]]></link>
			<title>Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong</title>
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			<guid><![CDATA[https://provide.ai/natural-gradient-bayesian-filtering-geometry-aware-filter-for-dynamical-systems/]]></guid>
			<link><![CDATA[https://provide.ai/natural-gradient-bayesian-filtering-geometry-aware-filter-for-dynamical-systems/]]></link>
			<title>Natural Gradient Bayesian Filtering: Geometry-Aware Filter for Dynamical Systems</title>
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			<guid><![CDATA[https://provide.ai/the-geometric-mechanics-of-contrastive-representation-learning-alignment-potentials-entropic-dispersion-and-cross-modal-divergence/]]></guid>
			<link><![CDATA[https://provide.ai/the-geometric-mechanics-of-contrastive-representation-learning-alignment-potentials-entropic-dispersion-and-cross-modal-divergence/]]></link>
			<title>The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence</title>
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			<guid><![CDATA[https://provide.ai/editpropbench-measuring-factual-edit-propagation-in-scientific-manuscripts/]]></guid>
			<link><![CDATA[https://provide.ai/editpropbench-measuring-factual-edit-propagation-in-scientific-manuscripts/]]></link>
			<title>EditPropBench: Measuring Factual Edit Propagation in Scientific Manuscripts</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/multi-perspective-transformers-in-arc-agi-2-challenge/]]></guid>
			<link><![CDATA[https://provide.ai/multi-perspective-transformers-in-arc-agi-2-challenge/]]></link>
			<title>Multi-Perspective Transformers in ARC-AGI-2 Challenge</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/fin-prm-a-domain-specialized-process-reward-model-for-financial-reasoning-in-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/fin-prm-a-domain-specialized-process-reward-model-for-financial-reasoning-in-large-language-models/]]></link>
			<title>Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
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