Learning-Driven Adaptive Audit Scheduling: A Sequential Decision Approach to Off-Chain Data Integrity

arXiv:2607.17305 · cs.AI, cs.CR · Submitted 2026-07-19 · Read on arXiv

Changting Lin, Fan Li, Weihang Yu, Keyang He, Mingyuan Yan, Yourong Chen, Meng Han

cs.AI, cs.CR

Submitted: 2026-07-19

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

Terminology

• Verification — 13× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Deep Reinforcement Learning — 5× in this paper · explained in 2 episodes
• Provable Data Possession — 4× in this paper
• Q-learning — 3× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

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