Showing cs.CRShow all
3 papers · 1 filter
cs.CR2026
FIDES: A Concordance Protocol for LLM-Generated Trading Strategies
Arther Tian, Alex Ding, Simon Wu +1
An LLM asked for a trading strategy returns three artifacts at once: a natural-language rationale, an executable implementation, and once run, a track record. Whether these are the…
cs.CR2026
Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks
Arther Tian, Alex Ding, Frank Chen +2
Decentralized large language model inference networks require lightweight mechanisms to reward high quality outputs under heterogeneous latency and cost. Proof of Quality provides…
cs.CR2025
Optimistic TEE-Rollups: A Hybrid Architecture for Scalable and Verifiable Generative AI Inference on Blockchain
Aaron Chan, Alex Ding, Frank Chen +3
The rapid integration of Large Language Models (LLMs) into decentralized physical infrastructure networks (DePIN) is currently bottlenecked by the Verifiability Trilemma, which pos…