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			<guid><![CDATA[https://theaitoday.com/beyond-single-model-optimization-preserving-plasticity-in-continual-reinforcement-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/beyond-single-model-optimization-preserving-plasticity-in-continual-reinforcement-learning/]]></link>
			<title>Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning</title>
			<pubDate><![CDATA[Wed, 10 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/scaling-neural-network-verification-with-tensor-parallelism-and-fully-sharded-data-parallelism/]]></guid>
			<link><![CDATA[https://theaitoday.com/scaling-neural-network-verification-with-tensor-parallelism-and-fully-sharded-data-parallelism/]]></link>
			<title>Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism</title>
			<pubDate><![CDATA[Wed, 10 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/v-rex-benchmarking-exploratory-visual-reasoning-via-chain-of-questions/]]></guid>
			<link><![CDATA[https://theaitoday.com/v-rex-benchmarking-exploratory-visual-reasoning-via-chain-of-questions/]]></link>
			<title>V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions</title>
			<pubDate><![CDATA[Wed, 10 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/learning-guided-integration-contours-construction-for-fast-large-scale-generalized-eigensolvers/]]></guid>
			<link><![CDATA[https://theaitoday.com/learning-guided-integration-contours-construction-for-fast-large-scale-generalized-eigensolvers/]]></link>
			<title>Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers</title>
			<pubDate><![CDATA[Wed, 10 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/data-assimilation-for-subsurface-flow-using-latent-diffusion-model-parameterization-performance-of-ensemble-kalman-and-monte-carlo-techniques/]]></guid>
			<link><![CDATA[https://theaitoday.com/data-assimilation-for-subsurface-flow-using-latent-diffusion-model-parameterization-performance-of-ensemble-kalman-and-monte-carlo-techniques/]]></link>
			<title>Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques</title>
			<pubDate><![CDATA[Wed, 10 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/multi-scale-feature-attention-network-for-polymer-classification-using-terahertz-spectroscopy/]]></guid>
			<link><![CDATA[https://theaitoday.com/multi-scale-feature-attention-network-for-polymer-classification-using-terahertz-spectroscopy/]]></link>
			<title>Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/structuring-agentic-ai-for-hpc-code-modernization/]]></guid>
			<link><![CDATA[https://theaitoday.com/structuring-agentic-ai-for-hpc-code-modernization/]]></link>
			<title>Structuring agentic AI for HPC code modernization</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/snr-st-mix-sample-specific-neighborhood-regression-mixup-for-augmented-spatial-transcriptomics-imputation-with-deep-neural-network/]]></guid>
			<link><![CDATA[https://theaitoday.com/snr-st-mix-sample-specific-neighborhood-regression-mixup-for-augmented-spatial-transcriptomics-imputation-with-deep-neural-network/]]></link>
			<title>SNR-ST-Mix: Sample-specific Neighborhood Regression Mixup for Augmented Spatial Transcriptomics Imputation with Deep Neural Network</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/do-coding-agents-deceive-us-detecting-and-preventing-cheating-via-capped-evaluation-with-randomized-tests/]]></guid>
			<link><![CDATA[https://theaitoday.com/do-coding-agents-deceive-us-detecting-and-preventing-cheating-via-capped-evaluation-with-randomized-tests/]]></link>
			<title>Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/pathosage-towards-multi-source-evidence-adjudication-in-pathology-via-experience-aware-agentic-workflow/]]></guid>
			<link><![CDATA[https://theaitoday.com/pathosage-towards-multi-source-evidence-adjudication-in-pathology-via-experience-aware-agentic-workflow/]]></link>
			<title>PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/culturally-adapted-red-teaming-across-east-and-southeast-asian-contexts-a-methodological-and-comparative-analysis/]]></guid>
			<link><![CDATA[https://theaitoday.com/culturally-adapted-red-teaming-across-east-and-southeast-asian-contexts-a-methodological-and-comparative-analysis/]]></link>
			<title>Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative Analysis</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/an-empirical-study-of-data-scale-model-complexity-and-input-modalities-in-visual-generalization/]]></guid>
			<link><![CDATA[https://theaitoday.com/an-empirical-study-of-data-scale-model-complexity-and-input-modalities-in-visual-generalization/]]></link>
			<title>An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis/]]></guid>
			<link><![CDATA[https://theaitoday.com/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis/]]></link>
			<title>NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cosmo3dflow-wavelet-flow-matching-for-spatial-to-spectral-compression-in-reconstructing-the-early-universe/]]></guid>
			<link><![CDATA[https://theaitoday.com/cosmo3dflow-wavelet-flow-matching-for-spatial-to-spectral-compression-in-reconstructing-the-early-universe/]]></link>
			<title>Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/learning-to-evaluate-cost-effective-model-evaluation-on-unlabeled-data-with-meta-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/learning-to-evaluate-cost-effective-model-evaluation-on-unlabeled-data-with-meta-learning/]]></link>
			<title>Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rollout-level-advantage-prioritized-experience-replay-for-grpo/]]></guid>
			<link><![CDATA[https://theaitoday.com/rollout-level-advantage-prioritized-experience-replay-for-grpo/]]></link>
			<title>Rollout-Level Advantage-Prioritized Experience Replay for GRPO</title>
			<pubDate><![CDATA[Sat, 06 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/eegdancer-dynamic-emotion-latent-space-masked-modeling-with-reinforcement-learning-for-eeg-continuous-emotion-prediction/]]></guid>
			<link><![CDATA[https://theaitoday.com/eegdancer-dynamic-emotion-latent-space-masked-modeling-with-reinforcement-learning-for-eeg-continuous-emotion-prediction/]]></link>
			<title>EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction</title>
			<pubDate><![CDATA[Sat, 06 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/llmcodec-adapting-video-codecs-for-efficient-weight-compression-of-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/llmcodec-adapting-video-codecs-for-efficient-weight-compression-of-large-language-models/]]></link>
			<title>LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models</title>
			<pubDate><![CDATA[Sat, 06 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/vista-vision-grounded-and-physics-validated-adaptation-of-umi-data-for-vla-training/]]></guid>
			<link><![CDATA[https://theaitoday.com/vista-vision-grounded-and-physics-validated-adaptation-of-umi-data-for-vla-training/]]></link>
			<title>VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training</title>
			<pubDate><![CDATA[Sat, 06 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/scenario-generation-for-risk-aware-reinforcement-learning-with-probably-approximately-safe-guarantees/]]></guid>
			<link><![CDATA[https://theaitoday.com/scenario-generation-for-risk-aware-reinforcement-learning-with-probably-approximately-safe-guarantees/]]></link>
			<title>Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-temporal-spatial-minimax-rate-for-smoothly-varying-distributions-in-wasserstein-space/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-temporal-spatial-minimax-rate-for-smoothly-varying-distributions-in-wasserstein-space/]]></link>
			<title>A Temporal Spatial Minimax Rate for Smoothly-Varying Distributions in Wasserstein Space</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/sleepexplain-explainable-non-rapid-eye-movement-and-rapid-eye-movement-sleep-stage-classification-from-eeg-signal/]]></guid>
			<link><![CDATA[https://theaitoday.com/sleepexplain-explainable-non-rapid-eye-movement-and-rapid-eye-movement-sleep-stage-classification-from-eeg-signal/]]></link>
			<title>SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/when-surface-form-changes-moderation-decisions-a-paired-study-of-code-mixed-workflow-instability/]]></guid>
			<link><![CDATA[https://theaitoday.com/when-surface-form-changes-moderation-decisions-a-paired-study-of-code-mixed-workflow-instability/]]></link>
			<title>When Surface Form Changes Moderation Decisions: A Paired Study of Code-Mixed Workflow Instability</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/detecting-and-mitigating-bias-by-treating-fairness-as-a-symmetry-operation/]]></guid>
			<link><![CDATA[https://theaitoday.com/detecting-and-mitigating-bias-by-treating-fairness-as-a-symmetry-operation/]]></link>
			<title>Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/how-far-did-they-go-the-persuasive-tactics-of-covert-llm-agents-in-a-discontinued-field-experiment/]]></guid>
			<link><![CDATA[https://theaitoday.com/how-far-did-they-go-the-persuasive-tactics-of-covert-llm-agents-in-a-discontinued-field-experiment/]]></link>
			<title>How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment</title>
			<pubDate><![CDATA[Sat, 06 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/consistency-training-can-entrench-misalignment/]]></guid>
			<link><![CDATA[https://theaitoday.com/consistency-training-can-entrench-misalignment/]]></link>
			<title>Consistency Training Can Entrench Misalignment</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/from-agent-traces-to-trust-evidence-tracing-and-execution-provenance-in-llm-agents/]]></guid>
			<link><![CDATA[https://theaitoday.com/from-agent-traces-to-trust-evidence-tracing-and-execution-provenance-in-llm-agents/]]></link>
			<title>From Agent Traces to Trust: Evidence Tracing and Execution Provenance in LLM Agents</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/sharedrequest-privacy-preserving-model-agnostic-inference-for-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/sharedrequest-privacy-preserving-model-agnostic-inference-for-large-language-models/]]></link>
			<title>SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/q0-primitives-for-hyper-epoch-pretraining/]]></guid>
			<link><![CDATA[https://theaitoday.com/q0-primitives-for-hyper-epoch-pretraining/]]></link>
			<title>q0: Primitives for Hyper-Epoch Pretraining</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/neural-response-to-familiar-names-predicts-outcome-of-comatose-icu-patients-a-prospective-observational-cohort-study/]]></guid>
			<link><![CDATA[https://theaitoday.com/neural-response-to-familiar-names-predicts-outcome-of-comatose-icu-patients-a-prospective-observational-cohort-study/]]></link>
			<title>Neural Response to Familiar Names Predicts Outcome of Comatose ICU Patients: A Prospective Observational Cohort Study</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/explicit-dynamic-cross-strand-interactions-for-dna-sequence-language-modelling/]]></guid>
			<link><![CDATA[https://theaitoday.com/explicit-dynamic-cross-strand-interactions-for-dna-sequence-language-modelling/]]></link>
			<title>Explicit dynamic cross-strand interactions for DNA sequence language modelling</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-universal-foundation-model-for-grounded-biomedical-image-interpretation/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-universal-foundation-model-for-grounded-biomedical-image-interpretation/]]></link>
			<title>A universal foundation model for grounded biomedical image interpretation</title>
			<pubDate><![CDATA[Thu, 04 Jun 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/moss-audio-technical-report/]]></guid>
			<link><![CDATA[https://theaitoday.com/moss-audio-technical-report/]]></link>
			<title>MOSS-Audio Technical Report</title>
			<pubDate><![CDATA[Wed, 03 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/learn-from-your-mistakes-tree-like-self-play-for-secure-code-llms/]]></guid>
			<link><![CDATA[https://theaitoday.com/learn-from-your-mistakes-tree-like-self-play-for-secure-code-llms/]]></link>
			<title>Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs</title>
			<pubDate><![CDATA[Wed, 03 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/baltivoice-a-speech-corpus-and-fine-tuned-whisper-asr-system-for-the-balti-language/]]></guid>
			<link><![CDATA[https://theaitoday.com/baltivoice-a-speech-corpus-and-fine-tuned-whisper-asr-system-for-the-balti-language/]]></link>
			<title>BaltiVoice: A Speech Corpus and Fine-tuned Whisper ASR System for the Balti Language</title>
			<pubDate><![CDATA[Wed, 03 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/agentredbench-dynamic-redteaming-and-integration-aware-defense-for-llm-agents-over-saas-integrations/]]></guid>
			<link><![CDATA[https://theaitoday.com/agentredbench-dynamic-redteaming-and-integration-aware-defense-for-llm-agents-over-saas-integrations/]]></link>
			<title>AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations</title>
			<pubDate><![CDATA[Wed, 03 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/visual-graph-scaffolds-for-structural-reasoning-in-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/visual-graph-scaffolds-for-structural-reasoning-in-large-language-models/]]></link>
			<title>Visual Graph Scaffolds for Structural Reasoning in Large Language Models</title>
			<pubDate><![CDATA[Wed, 03 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/pr2-predictive-routing-replay-for-moe-based-llm-reinforcement-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/pr2-predictive-routing-replay-for-moe-based-llm-reinforcement-learning/]]></link>
			<title>PR2: Predictive Routing Replay for MoE-Based LLM Reinforcement Learning</title>
			<pubDate><![CDATA[Wed, 03 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/updating-the-standard-neuron-model-in-artificial-neural-networks/]]></guid>
			<link><![CDATA[https://theaitoday.com/updating-the-standard-neuron-model-in-artificial-neural-networks/]]></link>
			<title>Updating the standard neuron model in artificial neural networks</title>
			<pubDate><![CDATA[Tue, 02 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/demystifying-multimodal-biomolecular-co-design-with-intrinsic-geodesic-coupling/]]></guid>
			<link><![CDATA[https://theaitoday.com/demystifying-multimodal-biomolecular-co-design-with-intrinsic-geodesic-coupling/]]></link>
			<title>Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling</title>
			<pubDate><![CDATA[Tue, 02 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-framework-for-graph-conditioned-hierarchical-shapley-attribution-in-patent-valuation/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-framework-for-graph-conditioned-hierarchical-shapley-attribution-in-patent-valuation/]]></link>
			<title>A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation</title>
			<pubDate><![CDATA[Tue, 02 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/chatterbox-flash-prior-calibrated-block-diffusion-for-streaming-zero-shot-tts/]]></guid>
			<link><![CDATA[https://theaitoday.com/chatterbox-flash-prior-calibrated-block-diffusion-for-streaming-zero-shot-tts/]]></link>
			<title>Chatterbox-Flash: Prior-Calibrated Block Diffusion for Streaming Zero-Shot TTS</title>
			<pubDate><![CDATA[Tue, 02 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/position-paper-post-solve-robustness-in-decision-engines-feasible-regions-and-smoothness-under-perturbations/]]></guid>
			<link><![CDATA[https://theaitoday.com/position-paper-post-solve-robustness-in-decision-engines-feasible-regions-and-smoothness-under-perturbations/]]></link>
			<title>Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations</title>
			<pubDate><![CDATA[Tue, 02 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/pocket-dentist-on-device-dental-image-understanding-via-efficient-multimodal-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/pocket-dentist-on-device-dental-image-understanding-via-efficient-multimodal-large-language-models/]]></link>
			<title>Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models</title>
			<pubDate><![CDATA[Mon, 01 Jun 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/hip-joint-image-quality-screening-based-on-the-diffusion-mamba-model/]]></guid>
			<link><![CDATA[https://theaitoday.com/hip-joint-image-quality-screening-based-on-the-diffusion-mamba-model/]]></link>
			<title>Hip joint image quality screening based on the Diffusion Mamba model</title>
			<pubDate><![CDATA[Fri, 05 Jun 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
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		</item>
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