arXiv AI July 7, 2026 By Zishan Bai, Hanxuan Chen, Jiayi Gu, Wenqian Weng, Enze Ge, Jiacheng Shi, Yichao Zhang, Zhimo Han, Riyang Bao, Xinyuan Song, Jacqueline Pang, Junfeng Hao

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arXiv:2512. 13956v4 Announce Type: replace-cross Abstract: Cloud-native systems have made operational work both more powerful and harder to automate: incidents unfold across microservices, logs and metrics arrive faster than operators can inspect them, and recovery actions must be coordinated without losing the causal context that makes them safe.

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

arXiv AI

Jun 9

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations

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arXiv AI

Jul 23

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arXiv AI

Jun 4

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline

arXiv:2606. 04315v1 Announce Type: new Abstract: LLM agents accumulate histories that outgrow their context windows, motivating a growing literature on memory systems.

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arXiv AI

Jun 19

Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale

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arXiv AI

Jun 11

PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents

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arXiv AI

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Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations

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