AstroGenesis: A Domain-Specific Multi-Agent AI for Astrophysical Research

arXiv:2609.28579 · astro-ph.IM, astro-ph.GA, astro-ph.HE · Submitted 2026-09-23 · Read on arXiv

astro-ph.IM, astro-ph.GA, astro-ph.HE

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/redis/redis

Terminology

• Benchmark — 48× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Benchmarking — 6× in this paper · explained in 3 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Core — 3× in this paper · explained in 2 episodes
• LLM judge — 3× in this paper · explained in 2 episodes
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Analyzer — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Modularity — 2× in this paper · explained in 9 episodes
• Provenance — 2× in this paper · explained in 3 episodes
• Vector Representations — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Astronomical Journal — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Modular Components — 1× in this paper · explained in 2 episodes
• Monthly Notices of the Royal Astronomical Society — 1× in this paper
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• NASA Astrophysics Data System — 1× in this paper
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAG
• Reducing hallucination in structured outputs via Retrieval-Augmented Generation
• An Analysis of Fusion Functions for Hybrid Retrieval
• SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs
• Data Release 1 of the Dark Energy Spectroscopic Instrument
• Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
• Retrieval-Augmented Generation for Large Language Models: A Survey
• Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
• The DSA-2000 -- A Radio Survey Camera
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
• A Comprehensive Overview of Large Language Models
• The Lazuli Space Observatory: Architecture & Capabilities
• Multi-Agent Collaboration Mechanisms: A Survey of LLMs
• The Multi-Mission Maximum Likelihood framework (3ML)
• Query2doc: Query Expansion with Large Language Models
• Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data
• DeepSeek-OCR: Contexts Optical Compression
• SELDON: Supernova Explosions Learned by Deep ODE Networks
• A Survey of Large Language Models

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