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PopLink Launches ShelfHub: A Non-Profit, Inclusive Preprint Server for AI-Assisted Research

ShelfHub is a non-profit preprint server that welcomes papers written or co-created with LLMs — no institutional affiliation required, with API and CLI.

ShelfHub is a non-profit preprint server that welcomes papers written or co-created with large language models — no institutional affiliation required, with a REST API, a CLI, and an interface in more than 18 languages.

KOBE, Japan — PopLink, a Japanese multidisciplinary design collective, introduces ShelfHub (shelfhub.org), a privately run, non-profit preprint server launched in spring 2026 and designed as an open home for research in the age of AI.

An archive for human–AI co-creation

Work produced with large language models still faces resistance: many established preprint servers restrict AI-assisted methodologies. ShelfHub takes the opposite position. It accepts submissions without content restrictions and publishes them, in principle, immediately — whether a paper was generated by a language model or created by humans working together with AI.

No university or institutional affiliation is required, and there is no institutional verification: anyone can submit. The goal is fast, global sharing and discussion of results at a time when AI is transforming the research process itself. Content that is clearly not research is detected by automated LLM-based screening and removed.

A home for the by-products of the writing process

When preparing a paper for a major journal or an established archive, researchers often produce AI-generated research reports along the way — for example, Deep Research reports that contain valuable background but, in the authors' judgement, do not belong in the paper itself. Those reports can be published on ShelfHub and cited from the main paper, keeping the creation process documented without overloading the publication itself.

Built for AI as well as humans: API and CLI

ShelfHub offers a REST API with full CORS support, so external agents and automated workflows can retrieve metadata and upload papers directly. A dedicated CLI helps developers and data scientists automate their research workflows. The platform also includes a discussion forum and collaborative project-management features.

More than 18 languages

An English title and abstract are required, but detailed descriptions are accepted in more than 18 languages, including Japanese, German, Korean, Hebrew and Thai. English is recommended for papers, but publishing in one's native language is not prohibited — ShelfHub aims to lower language barriers in collecting and disseminating knowledge.

Submissions are treated under a CC BY 4.0 license by default, as set out in the terms of service. PopLink notes transparently that ShelfHub is a non-profit initiative run with limited resources and does not claim the authority of established servers such as arXiv or SSRN.

The platform is open and accepting submissions at https://shelfhub.org.

Links

ShelfHub: https://shelfhub.org
Detailed introduction on Ignite Biz (PopLink's media): https://ignite-biz.net/shelfhub-released/
Ignite Biz: https://ignite-biz.net/
PopLink (operator): https://pop-link-social.com/

About PopLink

PopLink is an integrated design collective based in Japan. Its activities include operating its own media — including Ignite Biz, a business and technology publication — producing digital content, and developing web services.

Press contact

PopLink
Contact: Seita Namba (Representative)
Email: seitanamba@pop-link-social.com
Web: https://pop-link-social.com/

Media Contact

Seita Namba

PopLink

https://pop-link-social.com/

Topics: open science AI-assisted research LLM non-profit PopLink preprint server research sharing ShelfHub
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