ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders

arXiv:2609.23582 · cs.CL, cs.AI, cs.LG · Submitted 2026-09-20 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-09-20

Updated: 2026-09-20

Comments: Accepted for publication at IEEE IECON 2026. 5 pages, 6 figures, 3 tables

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

Terminology

• Quantization — 7× in this paper · explained in 12 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Adaptation — 5× in this paper · explained in 1 episode
• Grammar-Constrained Decoding — 4× in this paper
• Edge AI — 3× in this paper · explained in 2 episodes
• Active Inference — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Noise-Aware Synthetic Distillation — 2× in this paper
• Pseudo-labeling — 2× in this paper · explained in 3 episodes
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Aviation-inspired Routing for Industrial Deployment — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Predictive Maintenance — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
• Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct
• MoLoRA: Composable Specialization via Per-Token Adapter Routing
• Efficient Guided Generation for Large Language Models

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