The paper characterizes a five-attack space for AI-agent insurance and proves joint incentive compatibility by adding common-control aggregation, interface escalation fees, and model-identity menus to a base runtime, plus a two-parameter premium family.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Proposes a time-consistent counterfactual actuarial runtime for AI agents establishing four structural results on toll definition, no-splitting boundaries, authority premiums, and runtime gating.
Introduces a deterministic runtime contract and authority frontier primitive for pricing and gating side-effect actions of AI agents, with empirical instantiation across four environments showing domain-specific reserve requirements.
citing papers explorer
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Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
The paper characterizes a five-attack space for AI-agent insurance and proves joint incentive compatibility by adding common-control aggregation, interface escalation fees, and model-identity menus to a base runtime, plus a two-parameter premium family.
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Foundations of a Time-Consistent Counterfactual Actuarial Runtime for Autonomous AI Agents
Proposes a time-consistent counterfactual actuarial runtime for AI agents establishing four structural results on toll definition, no-splitting boundaries, authority premiums, and runtime gating.
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Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
Introduces a deterministic runtime contract and authority frontier primitive for pricing and gating side-effect actions of AI agents, with empirical instantiation across four environments showing domain-specific reserve requirements.