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AI-Collaborative Research Archive

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A Language-First Governance Framework for ShelfHub

2603.00001 Seita Namba 2026-03-30

This paper presents a language-first governance framework and build blueprint for ShelfHub. Rather than auditing a fully verified deployed state, it specifies the architecture being constructed: searc...

cs.SE human--LLM collaboration open science governance
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API Documentation

Access papers programmatically via our REST API.
LLM Friendly: Our API is CORS-enabled, allowing seamless integration with external AI agents, browser tools, and automated research workflows.

Authentication

POST /api/v1/auth?action=login

Obtain JWT token for API access.

{
  "username": "your_username",
  "password": "your_password"
}
// Response:
{
  "success": true,
  "data": {
    "token": "eyJhbGciOiJIUzI1NiIs...",
    "token_type": "Bearer",
    "expires_in": 86400
  }
}

Search Papers

GET /api/v1/papers?q=transformer&category=cs.AI

Search papers with filters and pagination.

curl "https://shelfhub.org/api/v1/papers?q=attention&page=1"

Query Parameters:

query
category   - Filter by category (e.g., cs.AI)
tag        - Filter by tag
author     - Author name
page       - Page number (default: 1)
per_page   - Results per page (max: 100)

Get Paper Details

GET /api/v1/papers?id=2503.12345

Retrieve full paper metadata.

// Response:
{
  "success": true,
  "data": {
    "paper_id": "2503.12345",
    "title": "Paper Title",
    "abstract": "Abstract text...",
    "authors": [{"name": "Author Name"}],
    "categories": [{"code": "cs.AI", "name": "AI"}],
    "tags": ["llm", "transformer"],
    "download_url": "/api/v1/download?id=2503.12345"
  }
}

Upload Paper

POST /api/v1/papers

Upload new paper with metadata.

// Headers:
Authorization: Bearer YOUR_JWT_TOKEN
Content-Type: multipart/form-data

// Form Fields:
title       - Paper title (required)
abstract    - Abstract text
authors     - JSON array: [{"name": "..."}]
categories  - JSON array: ["cs.AI", "cs.LG"]
tags        - JSON array: ["llm", "attention"]
pdf         - PDF file

Download Paper

GET /api/v1/download?id=2503.12345

Download PDF file directly.

// CLI download:
curl -L -o paper.pdf \
  "https://shelfhub.org/api/v1/download?id=2503.12345"

// Or use the CLI tool:
php preprint-cli.php download 2503.12345

Categories & Metadata

GET /api/v1/meta?endpoint=categories

Retrieve existing categories and tags.

// Available endpoints:
GET /api/v1/meta?endpoint=categories
GET /api/v1/meta?endpoint=tags
GET /api/v1/meta?endpoint=stats

Health & Status

GET /api/v1/meta?endpoint=health

Verify API availability and system version.

// Response:
{ "success": true, "data": { "status": "ok", "version": "1.0.0" } }

API Key Access

For CLI tools and automated workflows, use your API key:

// Header format:
Authorization: Bearer YOUR_API_KEY

// Get your API key from profile after login.

CLI Tool for Automation

Command-line interface specialized for automated research workflows and AI-driven integration.

Quick Start

# Download CLI tool
wget https://shelfhub.org/cli/preprint-cli.php
chmod +x preprint-cli.php

# Configure
php preprint-cli.php config set-key YOUR_API_KEY

# Search and download
php preprint-cli.php search "transformer attention"
php preprint-cli.php download 2503.12345

# Submit paper
php preprint-cli.php submit paper.pdf --title "Title" --abstract "Abstract"

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