ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents

arXiv:2609.23735 · cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.AI

Submitted: 2026-09-20

Updated: 2026-09-22

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 34× in this paper · explained in 2 episodes
• Benchmark — 30× in this paper · explained in 2 episodes
• RAG — 25× in this paper · explained in 3 episodes
• Provenance — 15× in this paper · explained in 4 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Consistency — 9× in this paper · explained in 3 episodes
• Core — 9× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Trace — 7× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• LLM judge — 6× in this paper · explained in 2 episodes
• Agentic Search — 5× in this paper · explained in 1 episode
• Knowledge Graph — 5× in this paper · explained in 7 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• Cross-Paper Evidence Synthesis — 3× in this paper
• Evaluation Dimensions — 3× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Abstention — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Continual Learning — 2× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Graph Construction — 2× in this paper · explained in 3 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Resource Constraints — 2× in this paper · explained in 3 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• International Conference on Learning Representations — 1× in this paper
• Late Fusion — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes

Sources

• OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources
• DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Retrieval-Augmented Generation for Large Language Models: A Survey
• IdeaBench: Benchmarking Large Language Models for Research Idea Generation
• G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
• SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
• Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge
• PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
• Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
• ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks
• Unifying Large Language Models and Knowledge Graphs: A Roadmap
• AI Idea Bench 2025: AI Research Idea Generation Benchmark
• SCALE: Scientific Concept Aggregation via LLMs and Embeddings for Fine-Grained Taxonomy Extension
• Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents
• RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
• Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
• Lacuna: A Research Map for Machine Learning
• MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
• Knows: Agent-Native Structured Research Representations

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