APEXA: Execution-Integrity Enforcement for Multi-Agent LLM Automation of Synchrotron Data Reduction

arXiv:2609.24165 · cs.AI · Submitted 2026-09-21 · Read on arXiv

cs.AI

Submitted: 2026-09-21

Updated: 2026-09-26

Comments: 5 pages, 4 figures. Accepted at the 4th TPC Workshop @ SC'26 (Building Open AI Infrastructure, Models, and Agentic Systems for Science). Code and benchmark: https://github.com/AdvancedPhotonSource/APEXA-APS-Beamline-Assistant ; data: https://doi.org/10.18126/tgg4-1m26

Code: https://github.com/AdvancedPhotonSource/APEXA-APS-Beamline-Assistant

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

Terminology

• Calibration — 36× in this paper · explained in 7 episodes
• Benchmark — 31× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Department of Energy — 4× in this paper
• Multi-Agent Framework — 4× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Agentic AI — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes

Sources

• Evaluating Large Language Models Trained on Code
• SciCode: A Research Coding Benchmark Curated by Scientists

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