LLM-native figures embed provenance and enable direct LLM interaction with scientific visualizations to accelerate discovery and improve reproducibility.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLM use in grant proposals rose sharply from 2023, correlating with lower semantic distinctiveness and higher NIH success plus publication rates but no NSF effects, concentrated in non-high-impact work.
citing papers explorer
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Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery
LLM-native figures embed provenance and enable direct LLM interaction with scientific visualizations to accelerate discovery and improve reproducibility.
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The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding
LLM use in grant proposals rose sharply from 2023, correlating with lower semantic distinctiveness and higher NIH success plus publication rates but no NSF effects, concentrated in non-high-impact work.