A per-component SimHash fingerprint supplies structural identity for AI agent skills, recovering family membership under paraphrase and refactoring with AUC 0.974 while localizing changes.
Sigstore: Software Signing for Everybody
5 Pith papers cite this work, alongside 39 external citations. Polarity classification is still indexing.
representative citing papers
Prevalence study of 10k GitHub repos identifies duplication, low revision, and missing permissions in LLM agent configs; proposes Rel(AI)Build control plane with content addressing, tiered permissions, state machine, and Jaccard drift detection.
NanoTag enables byte-granular overflow detection on unmodified MTE binaries by combining hardware tagging with selective software tripwire checks on the Scudo allocator.
Human-Certified Module Repositories (HCMRs) are proposed as a new architectural model blending human oversight with automated analysis to certify reusable software modules for safe assembly by humans and AI agents.
citing papers explorer
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The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills
A per-component SimHash fingerprint supplies structural identity for AI agent skills, recovering family membership under paraphrase and refactoring with AUC 0.974 while localizing changes.
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A Deterministic Control Plane for LLM Coding Agents
Prevalence study of 10k GitHub repos identifies duplication, low revision, and missing permissions in LLM agent configs; proposes Rel(AI)Build control plane with content addressing, tiered permissions, state machine, and Jaccard drift detection.
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NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
NanoTag enables byte-granular overflow detection on unmodified MTE binaries by combining hardware tagging with selective software tripwire checks on the Scudo allocator.
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Human-Certified Module Repositories for the AI Age
Human-Certified Module Repositories (HCMRs) are proposed as a new architectural model blending human oversight with automated analysis to certify reusable software modules for safe assembly by humans and AI agents.
- Auditable Agents