Researchers from Stanford and CMU propose Agent-Native Research Artifacts (ARAs) to replace traditional academic PDFs with machine-executable exploration graphs and failure logs designed for AI agents.

The paper "The Last Human-Written Paper: Agent-Native Research Artifacts" (arXiv:2604.24658) proposes a new format for publishing academic research that caters to AI agents rather than human readers. Traditional research papers flatten complex discovery paths, failures, and implementation details into a tidy narrative PDF, hindering the reproducibility and automated comprehension of the work by AI agents. To solve this, the authors introduce Agent-Native Research Artifacts (ARAs), a machine-executable protocol composed of scientific logic, executable code specifications, an exploration graph tracking both successes and failures, and evidence grounding. Experimental evaluations show that ARAs significantly improve performance on agent-driven benchmarks by preserving the critical intermediate knowledge typically omitted from papers.