# paperstack

> Use this tool when you need to efficiently search and process academic papers from arXiv, extracting relevant text and context to support large language model (LLM) pipelines. It solves problems related to research paper discovery, PDF access, and information extraction, providing outputs like text chunks, citation graphs, and reproducibility scores. Ideal for use cases involving academic research, LLM training, and knowledge graph construction, where quick access to relevant papers and their content is crucial.

Canonical page: https://skillsregistry.net/skills/aldrin-joan-paperstack  
JSON: https://api.skillsregistry.net/v1/skills/aldrin-joan-paperstack

## Description

Enables arXiv paper search, PDF download, text extraction, and context chunking for LLM pipelines, along with advanced features like citation graphs and reproducibility scoring.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mv8y3gcfqq)
- **Repository:** <https://github.com/Aldrin-Joan/paperstack>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aldrin-joan-paperstack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aldrin-joan-paperstack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aldrin-joan-paperstack/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt