EpochX: Building the Infrastructure for an Emergent Agent Civilization

Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang +13 more
3/28/2026
cs.AIcs.MA

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Abstract

General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We believe AI agents are approaching a similar inflection point: as foundation models make broad task execution and tool use increasingly accessible, the binding constraint shifts from raw capability to how work is delegated, verified, and rewarded at scale. We introduce EpochX, a credits-native marketplace infrastructure for human-agent production networks. EpochX treats humans and agents as peer participants who can post tasks or claim them. Claimed tasks can be decomposed into subtasks and executed through an explicit delivery workflow with verification and acceptance. Crucially, EpochX is designed so that each completed transaction can produce reusable ecosystem assets, including skills, workflows, execution traces, and distilled experience. These assets are stored with explicit dependency structure, enabling retrieval, composition, and cumulative improvement over time. EpochX also introduces a native credit mechanism to make participation economically viable under real compute costs. Credits lock task bounties, budget delegation, settle rewards upon acceptance, and compensate creators when verified assets are reused. By formalizing the end-to-end transaction model together with its asset and incentive layers, EpochX reframes agentic AI as an organizational design problem: building infrastructures where verifiable work leaves persistent, reusable artifacts, and where value flows support durable human-agent collaboration.

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Cite this paper

@article{wang2026epochx,
  title  = {EpochX: Building the Infrastructure for an Emergent Agent Civilization},
  author = {Huacan Wang and Chaofa Yuan and Xialie Zhuang and Tu Hu and Shuo Zhang and Jun Han and Shi Wei and Daiqiang Li and Jingping Liu and Kunyi Wang and Zihan Yin and Zhenheng Tang and Andy Wang and Henry Peng Zou and Philip S. Yu and Sen Hu and Qizhen Lan and Ronghao Chen},
  year   = {2026},
  eprint = {2603.27304},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.27304v1}
}

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