activity
20242026
most citedopML: Optimistic Machine Learning on Blockchain

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves

Zihan Tan, Leixin Sun, Zitong Shi +28

Recursive self-improvement (RSI) lets a system improve the model-building machinery from its own failures, so every later model inherits the gain. Yet RSI has been validated almost…

cs.CR2026

SUDP: Secret-Use Delegation Protocol for Agentic Systems

Xiaohang Yu, Hejia Geng, Xinmeng Zeng +1

Agentic systems now act with user secrets for APIs, messaging platforms, and cloud services. Today's agent runtimes typically implement authorization by exposure: enabling action m…

cs.CR2026

LOCARD: An Agentic Framework for Blockchain Forensics

Xiaohang Yu, William Knottenbelt

Blockchain forensics inherently involves dynamic and iterative investigations, while many existing approaches primarily model it through static inference pipelines. We propose a pa…

math.DS2025

On the Periodic Orbits of the Dual Logarithmic Derivative Operator

Xiaohang Yu, William Knottenbelt

We study the periodic behaviour of the dual logarithmic derivative operator in a complex analytic setting. We show that $\mathcal{A…

cs.CR2024★ 2 cited

opp/ai: Optimistic Privacy-Preserving AI on Blockchain

Cathie So, KD Conway, Xiaohang Yu +2

The convergence of Artificial Intelligence (AI) and blockchain technology is reshaping the digital world, offering decentralized, secure, and efficient AI services on blockchain pl…

cs.CR2024★ 4 cited

opML: Optimistic Machine Learning on Blockchain

KD Conway, Cathie So, Xiaohang Yu +1

The integration of machine learning with blockchain technology has witnessed increasing interest, driven by the vision of decentralized, secure, and transparent AI services. In thi…