arXiv AI July 2, 2026 By Edward Y. Chang, Longling Geng, Emily J. Chang

Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-generated Workflows

arXiv:2607. 00269v1 Announce Type: new Abstract: LLMs, solvers, and agent teams increasingly generate workflow actions, repairs, and plans, but a generated action may be syntactically valid yet stale, infeasible, conflicting, or destructive of the evidence that triggered a repair.

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

arXiv AI

5d ago

Correct Is Not Governed: Provenance Integrity in Agentic Workflows

arXiv:2608. 12761v1 Announce Type: new Abstract: Agentic workflows are commonly evaluated by whether they reach the correct outcome.

By Jesus Salas

agents

arXiv AI

Jul 28

MemTX: Transactional Belief Commit for Stateful Agent Memory

arXiv:2607. 23929v1 Announce Type: new Abstract: LLM agents increasingly coordinate through persistent shared memory: one agent's write becomes another agent's premise, and eventually a tool call with real side effects.

By Xiaoyang Li, Yiqi Wang, Haohui Lu, Zhi Chen, Mo Li, Pingan Song, Taotao Cai

llms agents safety

arXiv AI

Jul 28

Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair

arXiv:2607. 24604v1 Announce Type: cross Abstract: Generate--test--revise loops are common in coding agents, but repetition alone provides no reliability guarantee.

By Xueping Gao, Jianwei Yang, Qiang Yang

agents benchmarks safety

arXiv AI

Aug 5

GenOS: Compositional Certificates for Semantic Robustness in AI Code Generation

arXiv:2608. 03588v1 Announce Type: cross Abstract: AI coding agents are stochastic workflows: prompts are interpreted, artifacts are sampled, validators produce observations, and orchestrators commit or repair.

By Corrado Priami

agents safety

arXiv AI

Jul 8