CausalGuard aggregates LLM-proposed and data-pruned DAGs to weight doubly robust pseudo-outcomes and applies conformal calibration to deliver finite-sample marginal coverage for conditional average treatment effects under graph uncertainty.
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RMemSafe attenuates source anchoring via entropy gating when the frozen source model degrades, yielding lower error than prior methods on continual corruption benchmarks and shallower degradation under source failure.
PPE framework with T3+OCSVM one-class detector reaches 0.93+ borderline AUROC, cuts false positives 44-55 points versus Gaussian baselines, and runs at millisecond latency on synthetic multi-domain data.
citing papers explorer
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CausalGuard: Conformal Inference under Graph Uncertainty
CausalGuard aggregates LLM-proposed and data-pruned DAGs to weight doubly robust pseudo-outcomes and applies conformal calibration to deliver finite-sample marginal coverage for conditional average treatment effects under graph uncertainty.
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Reliability-Gated Source Anchoring for Continual Test-Time Adaptation
RMemSafe attenuates source anchoring via entropy gating when the frozen source model degrades, yielding lower error than prior methods on continual corruption benchmarks and shallower degradation under source failure.
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Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
PPE framework with T3+OCSVM one-class detector reaches 0.93+ borderline AUROC, cuts false positives 44-55 points versus Gaussian baselines, and runs at millisecond latency on synthetic multi-domain data.