Contribute · Get Involved VOL. 02 / 2026

The ground truth is built by people like you

Every reviewed article, every submitted idea, every class that evaluates AI scholarship builds the open record of what AI can — and cannot — do in research.

Three ways to contribute. All of them matter. Pick the one that fits the time you have.

01 Three roles

Pick the role that fits

You direct what gets studied, you judge what AI produces, or you scale both across a classroom. Each role feeds the others.

01 From idea to article

The Idea Originator

You direct the corpus

You define what gets studied. Submit a structured research idea — discipline, audience, methodology — and direct an AI model to generate a full manuscript the community needs. Your idea becomes the DNA of the article.

Suggest an Idea →
02 Review & validate

The Expert Reviewer

You judge the output

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

Become a Reviewer →
03 Course integration

The Educator

You scale everything

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.

Integrate a Course →

Three roles. One flywheel.

No single contribution is enough on its own. The power comes from how the roles reinforce each other — 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 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. Expert reviews are what transform the corpus from content into evidence.

Courses create the scale

One faculty member adopting this as an assignment generates more reviews than months of outreach — and introduces the platform to students who become independent contributors and future faculty.

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

What contributions build
85
Articles to review
8
Reviews published
3
AI models
Free
Always, to contribute
02 How each path works

What you actually do

Clear expectations, minimal friction, genuine impact — designed around the reality of a busy schedule, not an imagined ideal one.

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 capturing the discipline, the topic, the intended audience, the citation style, and the type of output you expect. Our system does the rest.

10–15 minutes to complete the idea form
Published as an AI-generated article within 72 hours
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 a course, and anyone who has 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, complete seven structured criteria, and write a narrative assessment for readers.

60–90 minutes per review, like 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 by 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, evaluate it with the structured framework, and publish with .edu verification. You get a novel AI-literacy assignment; the corpus gets expert reviews at scale.

One email to set up — a curated list within 24 hours
Ready-made syllabus language and grading rubric
Works for undergrad, graduate, and professional courses
Students get a published 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.

03 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.

G
Graduate Students

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

P
Postdoctoral Researchers

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

F
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.

L
Librarians

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

I
Industry Researchers

Review articles in their applied domain — catching AI errors in engineering, medicine, economics, or law that academic reviewers might miss.

∀
International Scholars

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

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

Latent Scholar — Founding Principle
04 The larger purpose

What the corpus enables

Individual contributions are valuable. What they build together is transformative. Here is what becomes possible as the record 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, consulted by the developers building the next models.

02

The Warning System for Integrity

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

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 — building an academic culture equipped for the AI age.

Your entry point

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

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