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Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions5h◆Consistent Plan-Act for Long-Horizon Agentic Tasks5h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance5h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure5h◆PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents5h◆TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization5h◆COMiT: Learning Structured Visual Tokens through Sequential Communication5h◆On the (In)effectiveness of AMR Augmentation for Large Language Models5h◆cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents5h◆Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation5h◆Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations5h◆Mitigating Memorization In Language Models5h◆MoEless: Efficient MoE LLM Serving with Serverless Experts5h◆Fork-Think with Confidence5h◆Where Does Randomness Matter in Neural Cellular Automata?5h◆Learning to Route in Visual Space via Multi-Step Embedding Retrieval5h◆Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring5h◆A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees5h◆Conformal Adversarial Generative Ensemble5h◆CollageAttack: Exploiting Cross-Modal Alignment Flaws in T2I Models through Spatial Text Composition5h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions5h◆Consistent Plan-Act for Long-Horizon Agentic Tasks5h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance5h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure5h◆PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents5h◆TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization5h◆COMiT: Learning Structured Visual Tokens through Sequential Communication5h◆On the (In)effectiveness of AMR Augmentation for Large Language Models5h◆cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents5h◆Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation5h◆Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations5h◆Mitigating Memorization In Language Models5h◆MoEless: Efficient MoE LLM Serving with Serverless Experts5h◆Fork-Think with Confidence5h◆Where Does Randomness Matter in Neural Cellular Automata?5h◆Learning to Route in Visual Space via Multi-Step Embedding Retrieval5h◆Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring5h◆A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees5h◆Conformal Adversarial Generative Ensemble5h◆CollageAttack: Exploiting Cross-Modal Alignment Flaws in T2I Models through Spatial Text Composition5h◆
News/Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions
arxiv
PublishedOctober 1, 2026 at 4:00 AM
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Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions

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arXiv:2609.38869v1 Announce Type: new Abstract: In finance, interpreting machine learning predictions is essential, yet the numerical outputs of explainable AI can be difficult for non-experts to understand. While large language models (LLMs) can translate these outputs into natural language, they m

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