Evidence map›Paper›PMID 42539919›Full record

ReviewFundamental research2026

Challenges and fundamental theoretical problems of super-converged generative information network.

Jiangxing Wu, Xinsheng Ji, Kaizhi Huang, Yajun Chen, Dan Li, Wenjian Zhang, Jie Yang, Yuxiang Hu, Jianliang Shen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Future mobile information networks.Fundamental research · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jiangxing WuInstitute of Big Data, Fudan University, Shanghai 200433, China.
Xinsheng JiInformation Engineering University, Zhengzhou 450001, China.
Kaizhi HuangInformation Engineering University, Zhengzhou 450001, China.
Yajun ChenInformation Engineering University, Zhengzhou 450001, China.
Dan LiInformation Engineering University, Zhengzhou 450001, China.
Wenjian ZhangInformation Engineering University, Zhengzhou 450001, China.
Jie YangInformation Engineering University, Zhengzhou 450001, China.
Yuxiang HuInformation Engineering University, Zhengzhou 450001, China.
Jianliang ShenInformation Engineering University, Zhengzhou 450001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-converged generative information network (SoGIN) envisions the integration of human-physical and digital networks, with development requirements centered on space-air-ground integration, computing-storage-sensing-intelligence integration, and availability-reliability-trustworthiness integration. Following the new development paradigm of decoupling network support environments from application network systems, SoGIN would build an AI-empowered, highly integrated, efficiently collaborative, trustworthy intelligent information network system based on the deep integration of digital-operation-information-communication technology (DOICT). This provides the foundational support environment for realizing 6G visions. This paper discusses the challenges and fundamental theoretical issues faced by SoGIN. Firstly, the development vision and demands of SoGIN are elaborated. Then, the theoretical and technical challenges in achieving the vision of SoGIN are analyzed. Finally, related theoretical and technical practices about polymorphic network environments, cloud-native-based super-converged network infrastructures, new cybersecurity paradigm, cyberspace resilience empowered by endogenous security and safety (ESS), and the physical foundation of next-generation digital systems technology based on wafer-level computing are described.

Indexed as

Cloud-native-based super-converged network infrastructuresCyberspace resilience empowered by endogenous security and safetyNew cybersecurity paradigmPolymorphic network environmentSoftware-defined system on wafer

Identifiers

PMID42539919
PMCPMC13424720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.