Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference. - Arther Tian; Alex Ding; Frank Chen; Alan Wu; Aaron Chan; Bruce Zhang (CoRR, 2025)

Optimistic TEE-Rollups: A Hybrid Architecture for Scalable and Verifiable Generative AI Inference on Blockchain. - Aaron Chan; Alex Ding; Frank Chen; Alan Wu; Bruce Zhang; Arther Tian (CoRR, 2025)

Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks. - Arther Tian; Alex Ding; Frank Chen; Simon Wu; Aaron Chan (CoRR, 2026)

A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Quality. - Arther Tian; Alex Ding; Frank Chen; Simon Wu; Aaron Chan (CoRR, 2026)