---
title: "Significant-Gravitas/AutoGPT: papers citing it"
description: "4 papers in the tracked journals link to the GitHub repository Significant-Gravitas/AutoGPT in their Crossref records, the first in 2024; most of them (2) in 2026."
url: https://scholar4ai.com/code/github-significant-gravitas-autogpt
markdown_url: https://scholar4ai.com/code/github-significant-gravitas-autogpt.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the GitHub repository Significant-Gravitas/AutoGPT in their Crossref records, the first in 2024; most of them (2) in 2026. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# Significant-Gravitas/AutoGPT: papers linking to it

Research papers in the 480 tracked journals that link to Significant-Gravitas/AutoGPT (https://github.com/Significant-Gravitas/AutoGPT), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- GitHub
- 187,884 stars
- 45,905 forks
- Python
- created 2023
- https://github.com/Significant-Gravitas/AutoGPT

All repositories: https://scholar4ai.com/code.md

## Key findings

- 4 papers in the tracked journals link to the GitHub repository Significant-Gravitas/AutoGPT in their Crossref records, the first in 2024; most of them (2) in 2026.
- By category: AI (4); the journals with the most are Cognitive Computation (1), Expert Systems with Applications (1) and Information Fusion (1).

## By year

*Papers linking to Significant-Gravitas/AutoGPT by publication year*

| Year | Papers |
|---|---:|
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 2 |

## Journals

*Journals whose papers link to Significant-Gravitas/AutoGPT most*

| Journal | Papers |
|---|---:|
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 1 |
| [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 |

## Papers

*Papers linking to Significant-Gravitas/AutoGPT, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-04-23 | [The benefits, risks and bounds of personalizing the alignment of large language models to individuals](https://doi.org/10.1038/s42256-024-00820-y) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Hannah Rose Kirk, Bertie Vidgen, Paul Röttger et al. | 116 | cites it |
| 2025-10-22 | [LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures](https://doi.org/10.1016/j.inffus.2025.103865) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Amine Ben Hassouna, Hana Chaari, Ines Belhaj | 9 | cites it |
| 2026-08-24 | [From Language Models to Agentic AI: A Survey of Autonomous, Action-Enabled, and Collaborative LLM Agents](https://doi.org/10.1007/s12559-026-10619-1) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Sparsh Bajoria -, Sumit Ranjan, Adhitya M et al. | 2 | cites it |
| 2026-06-12 | [RepoCBench: A benchmark for C-oriented repository-level code generation with large language models and agents](https://doi.org/10.1016/j.eswa.2026.133242) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yubo Zhang, Kaichun Yao, Libo Zhang et al. | 0 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). Significant-Gravitas/AutoGPT: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-significant-gravitas-autogpt

```bibtex
@misc{scholar4ai-code-github-significant-gravitas-autogpt,
  author = {{Scholar4AI}},
  title = {Significant-Gravitas/AutoGPT: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-significant-gravitas-autogpt}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).