The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale

arXiv:2605.15011 · cs.CL · Submitted 2026-05-14 · Read on arXiv

cs.CL

Submitted: 2026-05-14

Updated: 2026-09-01

Code: https://github.com/cognitiveailab/scientific-contribution-graph

Terminology

• Benchmark — 44× in this paper · explained in 2 episodes
• Alignment — 31× in this paper · explained in 1 episode
• Transformer — 25× in this paper · explained in 2 episodes
• Core — 23× in this paper · explained in 2 episodes
• RAG — 22× in this paper · explained in 3 episodes
• Embeddings — 15× in this paper · explained in 2 episodes
• Knowledge Graph — 15× in this paper · explained in 7 episodes
• Hallucination — 9× in this paper · explained in 3 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Graph Construction — 6× in this paper · explained in 3 episodes
• Knowledge graphs — 6× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Evaluation Dimensions — 2× in this paper · explained in 3 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Mean Average Precision — 2× in this paper
• Provenance — 2× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation — 2× in this paper
• Tokenization — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Alignment Problem — 1× in this paper · explained in 1 episode
• Byte-Pair Encoding — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Personalization — 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 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models
• GIANTS: Generative Insight Anticipation from Scientific Literature
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

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