TimeClaw is an exploratory execution learning system that turns multiple valid tool-use paths into hierarchical distilled experience for improved time-series reasoning without test-time adaptation.
SafeClaw-R: Risk analysis and runtime enforcement for OpenClaw skills
4 Pith papers cite this work. Polarity classification is still indexing.
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The paper defines intent-to-execution integrity as the conjunction of Tool Integrity, Instruction Integrity, Judgment Integrity, and Data Flow Integrity, arguing that existing LLM agent defenses provide only partial coverage of these properties.
Autonomous AI cyber systems deployed by civilians fail the one-causal-step and integral-part requirements of the IHL direct participation test because harm arises from post-disengagement system decisions.
A TEE-backed architecture isolates security-critical decisions in self-hosted AI agents to prevent host-level abuse from malicious inputs while maintaining allowed functionality.
citing papers explorer
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TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
TimeClaw is an exploratory execution learning system that turns multiple valid tool-use paths into hierarchical distilled experience for improved time-series reasoning without test-time adaptation.
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Securing LLM Agents Need Intent-to-Execution Integrity
The paper defines intent-to-execution integrity as the conjunction of Tool Integrity, Instruction Integrity, Judgment Integrity, and Data Flow Integrity, arguing that existing LLM agent defenses provide only partial coverage of these properties.
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Direct Causation in International Humanitarian Law and the Challenge of AI-Mediated Civilian Cyber Operations
Autonomous AI cyber systems deployed by civilians fail the one-causal-step and integral-part requirements of the IHL direct participation test because harm arises from post-disengagement system decisions.
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Constraining Host-Level Abuse in Self-Hosted Computer-Use Agents via TEE-Backed Isolation
A TEE-backed architecture isolates security-critical decisions in self-hosted AI agents to prevent host-level abuse from malicious inputs while maintaining allowed functionality.