arXiv AI June 8, 2026 By Haoran Xu, Lei Zhang, Iadh Ounis, Xianbin Wang

Hierarchical Certified Semantic Commitment for Byzantine-Resilient LLM-Agent Collaboration

arXiv:2606. 07316v1 Announce Type: cross Abstract: Byzantine collaboration among large-language-model agents requires a finality-control primitive: given delivered stochastic, structured natural-language proposals, the protocol must decide whether the round supports a commit, what kind of commit, or a typed safe abort.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI

5d ago

Certifiable Semantic Agreement Among LLM Agents: What the Admissibility Instrument Decides

arXiv:2606. 07316v2 Announce Type: replace-cross Abstract: Can a committee of LLM agents reach agreement that is certifiable at the level of meaning, not only at the level of a label?

By Haoran Xu, Lei Zhang, Iadh Ounis, Xianbin Wang

llms rag agents fine-tuning safety

arXiv Machine Learning

Jul 20

The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure

arXiv:2607. 16109v1 Announce Type: new Abstract: State machine replication (SMR) and Byzantine fault-tolerant (BFT) consensus guarantee agreement despite a bounded number of arbitrary, colluding faulty participants.

By Jun He, Deying Yu

agents safety

arXiv AI

Jun 9

Cherry-pick Override: Unsafe Directional Commitment in LLM Judges under Mixed Evidence

arXiv:2606. 07834v1 Announce Type: cross Abstract: LLM judges increasingly turn verdicts into system commitments.

By Haoran Xu

llms

arXiv AI

Jun 19

Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol

arXiv:2606. 19356v1 Announce Type: cross Abstract: When multi-agent LLM systems produce bad answers, not all failures are equal: some answers are grounded in the right material but incomplete, while others are simply ungrounded and should be stopped.

By Anantha Sharma

llms agents benchmarks

arXiv AI

Jul 15

Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Proofs

arXiv:2607. 12650v1 Announce Type: cross Abstract: Tool access alone does not make LLM empirical reasoning governable: accepted outputs need not descend from attested evidence, and accepted deductions need not hold up under formal scrutiny.

By Junyu Ren

llms agents safety

arXiv AI

Jun 12

SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems

arXiv:2606. 12703v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) agents increasingly run with persistent memory that accumulates across user sessions.

By Tarun Sharma

llms rag agents benchmarks safety

Related stories

Certifiable Semantic Agreement Among LLM Agents: What the Admissibility Instrument Decides

The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure

Cherry-pick Override: Unsafe Directional Commitment in LLM Judges under Mixed Evidence

Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol

Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Proofs

SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems