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Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides37m◆Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation37m◆From Events to Reasoning: Hierarchical Rule Composition over Explicit States37m◆ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation37m◆Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model37m◆PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents37m◆From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems37m◆Null Controls Are Necessary but Not Sufficient: Evaluating Acceptance Guards for Scientific Discovery and Interpretability37m◆Learnable Splines for Unstructured Neural Operators37m◆Functional Welfare for AI Safety37m◆Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference37m◆Harness-Delta Attribution: Dissecting Gains From Harness Evolution37m◆Testing the Planning Claims of LLM-Based Agents against Formal Semantics37m◆Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks37m◆FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds37m◆Repairing LLM-Generated Specifications with Deterministic Diagnosis37m◆At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier37m◆From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents37m◆Not All Graphs Are Maps: A Task-Agnostic Exploration Framework for Mobile GUI Navigation37m◆FlexUMM: Flexible Representation Learning for Unified Multimodal Models37m◆Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides37m◆Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation37m◆From Events to Reasoning: Hierarchical Rule Composition over Explicit States37m◆ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation37m◆Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model37m◆PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents37m◆From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems37m◆Null Controls Are Necessary but Not Sufficient: Evaluating Acceptance Guards for Scientific Discovery and Interpretability37m◆Learnable Splines for Unstructured Neural Operators37m◆Functional Welfare for AI Safety37m◆Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference37m◆Harness-Delta Attribution: Dissecting Gains From Harness Evolution37m◆Testing the Planning Claims of LLM-Based Agents against Formal Semantics37m◆Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks37m◆FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds37m◆Repairing LLM-Generated Specifications with Deterministic Diagnosis37m◆At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier37m◆From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents37m◆Not All Graphs Are Maps: A Task-Agnostic Exploration Framework for Mobile GUI Navigation37m◆FlexUMM: Flexible Representation Learning for Unified Multimodal Models37m◆
News/Soft Graph Transformer for MIMO Detection
arxiv
PublishedApril 14, 2026 at 4:00 AM

Soft Graph Transformer for MIMO Detection

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arXiv:2509.12694v5 Announce Type: replace Abstract: We propose the Soft Graph Transformer (SGT), a soft-input-soft-output neural architecture designed for MIMO detection. While Maximum Likelihood (ML) detection achieves optimal accuracy, its exponential complexity makes it infeasible in large system

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