repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 27d ago
iflytek/astron-agent
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 52%Open-source agent framework crosses 50k stars →
- PossiblePossibly related (embedding) · 48%Designing the hf CLI as an agent-optimized way to work with the Hub →
- FuzzySimilar title/name (fuzzy) · 59%Self-Evolving World Models for LLM Agent Planning →
“Fuzzy title match (0.73): “Self-Evolving World Models for LLM Agent Planning” ≈ “iflytek/astron-agent””
- FuzzySimilar title/name (fuzzy) · 59%Otap:Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent Trajectories →
“Fuzzy title match (0.73): “Otap:Structure-Aware Optimal Transport for Evaluating Planni” ≈ “iflytek/astron-agent””
- FuzzySimilar title/name (fuzzy) · 59%Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval →
“Fuzzy title match (0.73): “Task Decomposition-Guided Reranking for Adaptive Agent Skill” ≈ “iflytek/astron-agent””
- FuzzySimilar title/name (fuzzy) · 59%LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior →
“Fuzzy title match (0.73): “LLawCo: Learning Laws of Cooperation for Modeling Embodied M” ≈ “iflytek/astron-agent””
- FuzzySimilar title/name (fuzzy) · 59%The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce →
“Fuzzy title match (0.73): “The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loo” ≈ “iflytek/astron-agent””
- FuzzySimilar title/name (fuzzy) · 59%TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization →
“Fuzzy title match (0.73): “TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Mi” ≈ “iflytek/astron-agent””
Covers
Implements
paperSelf-Evolving World Models for LLM Agent PlanningpaperOtap:Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent TrajectoriespaperTask Decomposition-Guided Reranking for Adaptive Agent Skill RetrievalpaperLLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent BehaviorpaperThe Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous CommercepaperTRIM: Reducing AI-Generated CodeSlop via Agent Trajectory MinimizationpaperToward Continuous Assurance for the Democratization of AI Agent Creation in IndustrypaperReal-World Evaluation of an AI Agent Drafting Translational Impact SummariespaperScaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B AgentpaperMyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent SystemspaperSAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival PredictionpaperHULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read GenerationpaperTraceLab: Characterizing Coding Agent Workloads for LLM ServingpaperAction-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device TuningpaperA Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-TrainingpaperGoverned Individuation: Cryptographically Decoupling an Agent's Learning from Its AuthoritypaperSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentspaperFrom Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form NarrativespaperProjAgent: Procedural Similarity Retrieval for Repository-Level Code GenerationpaperThe Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival PressurepaperTrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI SystemspaperMAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB VideospaperCopewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness SupportpaperHAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent CollaborationpaperRehearsed Multi-Agent Live Product Demonstrations with Real-Time Voice Question AnsweringpaperWhen Do Multi-Agent Systems Help? An Information Bottleneck PerspectivepaperATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Related to (incoming)
Related across the graph
newsDesigning the hf CLI as an agent-optimized way to work with the HubpaperHULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read GenerationpaperTraceLab: Characterizing Coding Agent Workloads for LLM ServingpaperTrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI SystemspaperMAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB VideospaperSAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival PredictionpaperToward Continuous Assurance for the Democratization of AI Agent Creation in IndustrypaperOtap:Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent TrajectoriespaperCopewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness SupportpaperHAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent CollaborationpaperAction-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device TuningpaperSelf-Evolving World Models for LLM Agent PlanningpaperThe Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous CommercenewsOpen-source agent framework crosses 50k starspaperThe Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival PressurepaperTask Decomposition-Guided Reranking for Adaptive Agent Skill RetrievalpaperGoverned Individuation: Cryptographically Decoupling an Agent's Learning from Its AuthoritypaperTRIM: Reducing AI-Generated CodeSlop via Agent Trajectory MinimizationpaperScaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B AgentpaperWhen Do Multi-Agent Systems Help? An Information Bottleneck PerspectivepaperSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentspaperReal-World Evaluation of an AI Agent Drafting Translational Impact SummariespaperMyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent SystemspaperFrom Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form NarrativespaperLLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent BehaviorpaperRehearsed Multi-Agent Live Product Demonstrations with Real-Time Voice Question AnsweringpaperProjAgent: Procedural Similarity Retrieval for Repository-Level Code GenerationmodelAgentCore-8BpaperA Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-TrainingpaperATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning