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Towards SAFE AI Agentic System

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.eswa.2024.125239openalex-snapshot
A Rank Graduation Box for SAFE AI
inferredcites →https://doi.org/10.1016/j.physa.2024.130176openalex-snapshot
Explainable Artificial Intelligence methods for financial time series
inferredcites →https://doi.org/10.1038/s41467-025-63913-1openalex-snapshot
Risks of AI scientists: prioritizing safeguarding over autonomy
inferredcites →https://doi.org/10.1109/access.2024.3395918openalex-snapshot
The Role of Blockchain in Finance Beyond Cryptocurrency: Trust, Data Management, and Automation
inferredcites →https://doi.org/10.1145/3593013.3594033openalex-snapshot
Harms from Increasingly Agentic Algorithmic Systems
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.829openalex-snapshot
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
inferredcites →https://doi.org/10.18653/v1/2024.findings-emnlp.585openalex-snapshot
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
inferredcites →https://doi.org/10.3386/w31122openalex-snapshot
Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
inferredcites →https://doi.org/10.48550/arxiv.2007.02529openalex-snapshot
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2311.17035openalex-snapshot
Scalable Extraction of Training Data from (Production) Language Models
inferredcites →https://doi.org/10.48550/arxiv.2402.03578openalex-snapshot
LLM Multi-Agent Systems: Challenges and Open Problems
inferredcites →https://doi.org/10.48550/arxiv.2403.19735openalex-snapshot
Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework
inferredcites →https://doi.org/10.5281/zenodo.18717227openalex-snapshot
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
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