Get Involved

The Ground Truth Is
Built by People Like You

Every reviewed article, every submitted idea, every class that evaluates AI scholarship — together they build the definitive open record of what AI can and cannot do in research. Three ways to contribute. All of them matter.

70 Articles in corpus
8 Expert reviews published
30+ Disciplines covered
Role 01 💡

The Idea Originator

From Idea to Article

You define what gets studied. By submitting a structured research idea — discipline, audience, methodology — you direct our AI models to generate a full scholarly manuscript on a topic the community needs to understand. Your idea becomes the DNA of the article.

Submit an Idea
Role 02 🔬

The Expert Reviewer

Review & Validate

You apply your expertise to expose exactly where AI gets scholarship right — and where it fails. Your published review becomes the permanent companion record to the article: the evidence that turns AI output into auditable knowledge.

Become a Reviewer
Role 03 🎓

The Educator

Course Integration

You scale everything. By adopting Latent Scholar as a course assignment, one faculty member turns 20–30 students into expert reviewers — each producing a published contribution that builds their CV while advancing the field’s most pressing question.

Integrate Your Course
70 AI-Generated articles
available to review
8 Expert reviews
published & citable
3+ AI models generating
articles simultaneously
0$ Cost to contribute —
always free to use
Why It Works

Three Roles. One Flywheel.

No single contribution type is sufficient on its own. The power of Latent Scholar comes from how the three roles reinforce each other — creating a self-sustaining engine for building the ground truth about AI in scholarship.

💡
Ideas submitted
🔬
Expert reviews
🎓
Course adoption
Ground
Truth
Building

💡 Ideas create the corpus

Contributors direct AI models toward topics that matter to real researchers. Each idea determines what gets added to the public record — the breadth of the corpus depends entirely on the diversity of contributors.

🔬 Reviews create the value

An unreviewed article is raw AI output. A reviewed article is a data point in the largest open benchmark of AI-generated scholarship in existence. Expert reviews are what transform the corpus from content into evidence.

🎓 Courses create the scale

One faculty member adopting this as a course assignment generates more reviews than months of individual outreach. Courses also introduce the platform to students who become independent contributors — and future faculty who embed this in their own teaching.

The result: More reviews attract more scholars curious about findings. More findings attract more ideas. More ideas build a richer corpus for more courses. The flywheel, once moving, accelerates on its own.

How Each Path Works

What You Actually Do

Clear expectations, minimal friction, genuine impact. Every contribution path is designed around the reality of busy researchers and faculty — not an imagined ideal version of their schedule.

💡 Contribution Path 01

Submit a Research Idea

Direct an AI model toward a topic that matters in your field. No prompting required — just structured intent.

You complete a structured form that captures: the discipline, the specific topic, the intended audience, the citation style, and the type of output you expect (review article, original research, methodology, etc.). Our system does the rest.

  • 10–15 minutes to complete the idea form
  • Published as an AI-generated article within 72 hours
  • Your name credited as Idea Originator (or anonymous)
  • Open to anyone — no academic affiliation required
  • Your idea enters the review queue immediately

Best for: Researchers curious how AI handles their subfield, educators who want a specific article for their course, and anyone who has ever wondered "what would AI make of this topic?"

🔬 Contribution Path 02

Review an Article

Apply your domain expertise to expose exactly where AI gets scholarship right — and where it doesn't.

Browse articles in your discipline that need review, read the AI-generated manuscript as you would any paper in your field, complete seven structured evaluation criteria, and write a narrative assessment that tells readers how to use — or not use — the article.

  • 60–90 minutes per review (similar to a journal review)
  • Published within 48 hours of .edu verification
  • Named attribution or full anonymity — your choice
  • Listable as peer review service on your CV
  • No deadlines, no revision cycles, no gatekeeping

Best for: Faculty, postdocs, and advanced graduate students with genuine subject-matter expertise in a discipline covered in our corpus.

🎓 Contribution Path 03

Integrate Your Course

Turn one assignment into 20–30 published reviews. The highest-impact contribution a single person can make.

Assign the Latent Scholar review as a course exercise. Students select an article in your discipline, evaluate it using the structured framework, and publish their review with .edu verification. You get a novel AI-literacy assignment. The corpus gets expert reviews at scale.

  • One email to set up — we send a curated article list within 24 hours
  • Ready-made syllabus language and grading rubric included
  • Works for undergrad, graduate, and professional courses
  • Students get a published scholarly contribution on their CV
  • Your course acknowledged as an Institutional Partner

Best for: Faculty teaching research methods, AI literacy, literature review, discipline-specific writing, or any course where evaluating sources is a learning objective.

Who Contributes

Everyone Has a Role

Latent Scholar is built by the full academic ecosystem — from first-year students developing their critical eye to senior faculty building the benchmark for their field.

🧑‍🎓
Graduate Students

Review articles in their research area, list it as peer review service, build a public record of scholarly contribution before their first journal review.

👩‍🔬
Postdoctoral Researchers

Submit ideas that test AI on their specific subfield. Review articles to benchmark how well current models handle niche specializations.

👨‍🏫
Faculty

Integrate as a course assignment, submit ideas that direct the corpus toward their field, and build a novel research angle on AI-generated scholarship.

📚
Librarians

Review articles for citation quality and literature coverage — the skills librarians have in abundance and that AI most predictably gets wrong.

🏢
Industry Researchers

Review articles in their applied domain — catching AI errors in engineering, medicine, economics, or law that academic reviewers might not spot.

🌍
International Scholars

Surface AI’s Western-centric biases by reviewing articles in disciplines where geographic and cultural framing matters — a perspective the corpus urgently needs.

“The academic community spent decades building the infrastructure for human knowledge production — peer review, citation standards, replication protocols. We’re building the equivalent infrastructure for the age of AI-generated knowledge. Every contribution is a brick in that foundation.” Latent Scholar — Founding Principle
The Larger Purpose

What the Corpus Enables

Individual contributions are valuable. What they build together is transformative. Here is what becomes possible as the corpus grows.

01

The AI Benchmark for Scholarship

With enough reviewed articles across disciplines, Latent Scholar becomes the reference dataset for evaluating how AI models perform in academic contexts — cited in research, used in policy, and consulted by the developers building the next generation of models.

02

The Warning System for Research Integrity

A documented public record of hallucination patterns, fabricated citation types, and reasoning failures across disciplines gives journals, librarians, and institutions the evidence base they need to design detection and prevention strategies.

03

The Teaching Infrastructure

As more courses integrate Latent Scholar, the platform becomes embedded in how the next generation of scholars learns to evaluate AI output — creating an academic culture equipped for the AI age before the tools become even more capable and deceptive.

Your Entry Point

Pick the path that fits.
All of them build the record.

Whether you have 10 minutes or a whole semester, your contribution advances the most important open question in academic publishing right now: can AI generate scholarship worth trusting?