SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research

arXiv:2605.22878 · cs.AI, cs.CL, cs.IR, cs.LG · Submitted 2026-05-20 · Read on arXiv

cs.AI, cs.CL, cs.IR, cs.LG

Submitted: 2026-05-20

Updated: 2026-08-29

Code: https://github.com/zjunlp/SciAtlas

Terminology

• Knowledge Graph — 45× in this paper · explained in 7 episodes
• Grounding — 15× in this paper · explained in 3 episodes
• Core — 10× in this paper · explained in 2 episodes
• AI Agents — 9× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Downstream Tasks — 6× in this paper · explained in 2 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 5× in this paper · explained in 3 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Knowledge graphs — 4× in this paper · explained in 2 episodes
• Semantic Understanding — 3× in this paper · explained in 2 episodes
• Agentic System — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Federated Learning — 2× in this paper · explained in 14 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Activation Steering — 1× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic AI systems — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Command Line Interfaces — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Procedural Knowledge — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
• XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
• Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
• AI4Research: A Survey of Artificial Intelligence for Scientific Research
• Reviewer2: Optimizing Review Generation Through Prompt Generation
• AIDE: AI-Driven Exploration in the Space of Code
• WisPaper: Your AI Scholar Search Engine
• Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
• SurveyX: Academic Survey Automation via Large Language Models
• ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• ScholarEval: Research Idea Evaluation Grounded in Literature
• DSGym: A Holistic Framework for Evaluating and Training Data Science Agents
• AlphaEvolve: A coding agent for scientific and algorithmic discovery
• AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
• DeepXiv-SDK: An Agentic Data Interface for Scientific Literature
• Scaling Generalist Data-Analytic Agents
• InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
• Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
• Agent Laboratory: Using LLM Agents as Research Assistants

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