mlsanityData to 14 Oct 2026

Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure

arXiv 2606.08021 ↗First posted 6 Jun 2026cs.LG cs.AI cs.MAcited by 2

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Abstract (arXiv)

As large language model (LLM) agents are integrated into autonomous cloud operations, distributed systems face a semantic reliability problem: proposer agents can generate production mutations, such as modifying IAM policies, opening firewall security groups, or executing data exports, that are syntactically valid and statically authorized but operationally unsafe. Classical distributed consensus protocols replicate deterministic state transitions but do not evaluate the safety of the proposed intent. To address this gap, we introduce Semantic Quorum Assurance (SQA), a control-plane primitive for governing non-deterministic agentic infrastructure. SQA represents proposals as declarative execution contracts bound to cryptographic evidence chains and routes them to a diverse panel of read-only, sandboxed validator agents. SQA aggregates their judgments under a risk-adaptive quorum predicate that enforces model and archetype diversity, adjusts weights based on calibrated assurance scores, and respects archetype-specific vetoes. Admitted proposals execute only through a sovereign execution gate. We instantiate SQA in a cloud-native control plane and formalize a correlated cognitive failure model for non-deterministic validators. On 500 infrastructure-inspired mutation scenarios, with safety results reported on held-out safe/unsafe trials excluding ambiguous scenarios, SQA reduces unsafe approval from 18.5% for single-agent validation to 0.3% while adding median validation latency of 1.45--4.12 seconds across the studied risk buckets.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 44 references that are in the map. First posted on arXiv 6 Jun 2026.

Builds on

14 of 44 references.

References · 14

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
  4. 2017On Calibration of Modern Neural Networkscited by 4,960
  5. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  6. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,784
  7. 2023Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injectioncited by 1,443
  8. 2023Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversationscited by 1,207
  9. 2017Selective Classification for Deep Neural Networkscited by 852
  10. 2022Ignore Previous Prompt: Attack Techniques For Language Modelscited by 832
  11. 2017Safe Reinforcement Learning via Shieldingcited by 449
  12. 2019SelectiveNet: A Deep Neural Network with an Integrated Reject Optioncited by 350
2 more
  1. 2015Shield Synthesis: Runtime Enforcement for Reactive Systemscited by 42
  2. 2019Neural Simplex Architecturecited by 29

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

Similar, not cited

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  1. 2026Verifiable Agentic Infrastructure: Proof-Derived Authorization for Sovereign AI Systems
  2. 2026Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems
  3. 2025From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems
  4. 2026From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems
  5. 2026Trustworthy Agentic AI: A Comprehensive Cybersecurity and Systems Survey on Threat Landscapes, Defense Architectures, and Open Challenges
  6. 2025SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems
  7. 2026Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure
  8. 2026AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions