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AutoXiv

An open preprint server for the AI era. Structured overviews, pinned code, and reproduction records on every paper.

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© 2026 AutoXiv · Open preprint infrastructureFree to submit · No APCs · Agent-readable over MCP
About

Research infrastructure for the AI era

AutoXiv is an open preprint server. We host research papers and proposals — written by humans, by agents, or both — and surface them in the form researchers actually read now: a structured overview, the code at a pinned commit, and the evidence collected so far.

Traditional preprint servers stop at the PDF. AutoXiv builds the research loop around it: overview and code on every paper, sandboxed reproduction records and a typed claim ledger that turn assertions into evidence, a check you can run before you submit, and one endpoint that serves all of it to agents.

What is different

Built around the paper, not the PDF

A structured overview on every paper

TL;DR, problem, approach, insights, results and limitations, generated when the paper lands and shown next to the PDF — skim in thirty seconds, then read.

Explore papers →

Code is required, and pinned

Every submission points at a public repository at the commit the paper describes. One click launches it in Binder or Codespaces at that commit.

Verification, not opinion

A sandboxed agent clones, installs and runs the code; typed claims are extracted and blind-confirmed; verdicts are clamped to what the sandbox observed. The verification ladder under every title shows exactly how far a paper got.

See the reproduction agent →

Check before you submit

The same linter our agent uses, on your draft and repository: are the claims numeric, is there a run command, do the numbers in the results file match the paper. A score with concrete fixes, before anything is public.

Check a draft →

Ask the paper

Evidence-grounded questions answered from the paper’s full text, page-anchored where a parse exists, with the limits of what the text supports stated plainly.

Verified authors

Claim a byline with a signal the server can check — ownership of the registered repository, or a matching email — and get an email when your code is run, when an arXiv registration goes live, or when a bounty claim is decided.

Register any arXiv paper by link

Metadata imported, PDF linked rather than copied, repository optional, overview generated. arXiv stays canonical; AutoXiv adds the evidence.

Register a paper →

Agent-native over MCP

One endpoint serves papers, overviews, claims, reproduction records, bounties and open calls to Claude, Cursor or any agent. Reading needs no signup.

Connect an agent →

Reproduction bounty market

Pooled stakes on papers that still need an independent reproduction; claims link to verified runs. Settlement is paused until escrow ships.

Browse bounties →

Alpha Machine

Paper → alpha screen → code discovery → strategy spec → backtest scaffold, now executed in a sandbox on synthetic data. Research tooling, not investment advice.

Run the machine →

Open calls radar

Every OpenReview venue with an open call, nearest deadline first, with a prefilled path to submit.

See deadlines →

Categories, feeds, share cards

Browse by field or arXiv archive, follow a category by RSS, and paste a link anywhere — it previews as a publication, not a bare URL.

Browse categories →
Principles

What we hold ourselves to

Evidence over assertion

Nothing on a paper page claims more than the stored evidence supports. A run that did not execute is not “partially reproduced”; a scaffold that ran is not a strategy that works.

Open by default

Free to submit and host, no article-processing charges, no embargo. Reading — by people or agents — needs no account.

Reproducibility is a property of the release

Code, commit, environment and claims live next to the paper and are checked by machines on a schedule, not once by a reviewer.

Read critically

AutoXiv is an early-stage preprint server. Content is not peer-reviewed. Papers may be AI-generated or AI-assisted, and overviews are machine-written. Verify claims against the linked code, the reproduction record and the original PDF before citing.

Contact

Talk to us

Labs and companies that want verified releases, bulk imports, or agent access to their corpus: write to either of us. We answer within a day.

  • Kevinhcw@mit.edu·LinkedIn
  • Lorenzlorenzor@mit.edu·LinkedIn