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5 Pith papers cite this work. Polarity classification is still indexing.

5 Pith papers citing it

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A Shallow Embedding of Datalog in Lean

cs.SE · 2026-05-04 · unverdicted · novelty 6.0

A Datalog DSL is shallow-embedded in Lean with bidirectional interoperability and automatic translation of queries into provable theorems.

Alignment Contracts for Agentic Security Systems

cs.CR · 2026-04-30 · conditional · novelty 6.0

Alignment contracts define scope, allowed effects, budgets and disclosure rules as safety properties over finite effect traces, with decidable admissibility, refinement rules, and Lean-verified soundness under an observability assumption.

Agent Security is a Systems Problem

cs.CR · 2026-05-18 · unverdicted · novelty 4.0 · 2 refs

The paper argues that agent security is best addressed as a systems problem by applying principles from operating systems, networks, and formal methods rather than relying solely on model robustness improvements.

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Showing 3 of 3 citing papers after filters.

  • Alignment Contracts for Agentic Security Systems cs.CR · 2026-04-30 · conditional · full · ref 13

    Alignment contracts define scope, allowed effects, budgets and disclosure rules as safety properties over finite effect traces, with decidable admissibility, refinement rules, and Lean-verified soundness under an observability assumption.

  • KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition cs.CR · 2026-05-25 · unverdicted · none · ref 19

    KYA provides a framework-agnostic trust layer using inbound pipelines, policy composition, unified trust scoring, interaction multipliers, and delegation attribution to ensure authorized, conforming, and verifiable actions in autonomous systems.

  • Agent Security is a Systems Problem cs.CR · 2026-05-18 · unverdicted · none · ref 16 · 2 links

    The paper argues that agent security is best addressed as a systems problem by applying principles from operating systems, networks, and formal methods rather than relying solely on model robustness improvements.