# strib/scigen

An automatic paper generator

Repository: https://github.com/strib/scigen
Canonical: https://ross.abutalabs.com/products/scigen
Language: TeX
License: GPL-2.0
License Family: copyleft
Last push: 2022-01-09T12:55:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4134, "days_push": 1697, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1153, forks 259 (observed 2026-08-28T04:03:47.348366+00:00)

## What it is
SCIgen is an automatic generator of random, syntactically valid but meaningless computer science research papers, originally from MIT CSAIL. It produces LaTeX-formatted papers complete with abstracts, figures, and references for satire and testing peer review.

## Use cases
- generate a fake computer science paper for fun
- test conference peer review quality with a nonsense submission
- create random LaTeX documents with generated text and figures
- satirize academic publishing and spam conferences
- produce sample academic-looking PDFs for demos

## When to choose
- you want to generate satirical or hoax academic papers in LaTeX
- you need a classic tool for testing whether a venue has real peer review
- you want randomly generated CS-style text, graphs, and citations

## When to avoid
- you need genuinely useful or truthful research text generation
- you want a modern LLM-based text generator
- you need polished documentation or easy installation - setup is largely undocumented

## Facets
- artifact type: application
- maturity: maintenance
- function: data-generation, nlp, templating
- domain: education, developer-tools
- platform: cross-platform
- tags: paper-generator, hoax, academic-satire, tex, random-text-generation, natural-language-processing, linux, macos

## Member repositories
- strib/scigen (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:47.348366+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:29.735170+00:00, confidence not recorded.
  - readme: https://github.com/strib/scigen (fetched 2026-08-28T04:03:47.348366+00:00, sha 8996e8b623ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.