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Paper Review

Pre-submission manuscript review by four AI reviewers

Four AI reviewers read your manuscript the way a journal panel would. They quote the passages they question, so you can fix what a reviewer would flag before you submit. A standard review is usually ready in 4 to 8 minutes. Deep Review takes 10 to 15. Three tiers, $9 to $15, one-time payment, no subscription.

Who runs this. Built by Benjamin Ampel, assistant professor of computer information systems at Georgia State University, with publications in MIS Quarterly and JMIS.

Tested on retracted papers. In my own test on 23 open-access papers later retracted for a documented error, the review pointed at that problem in 14, partly in 4, and missed 5. Run against reports written for unrelated papers, the same judge said yes in 2 of 46 cases. One model judged, and the counts may move on a rerun. Read the method and the limits.

Allowed under the author policies of Elsevier, Springer Nature, Wiley, IEEE, ACM and NeurIPS (see the policy question below). The manuscript goes to Anthropic's API, which keeps it up to 30 days and does not train on it. Purplelink deletes it 30 minutes after you first open the result.

Field profiles for machine learning, biomedicine, psychology and social science, chemistry, or a general one for everything else. Economics, sociology and political science papers use the social science profile.

The sample Paper Review report: critical blind spots, each quoting the manuscript, naming the reviewers that raised it and suggesting a fix
From the example report. Every finding quotes your text. Read the whole report.
  1. Pay through Stripe
  2. Upload your manuscript as a PDF or Word (.docx) file, up to 20 MB. The link is also emailed, so you can upload from another device
  3. Read the report, usually in 4 to 8 minutes

Secure checkout via Stripe. One-time payment, no subscription. Compare the three tiers, $9 to $15.

Report by email, manuscript deleted. The report is emailed to you as a PDF. Purplelink deletes the manuscript and the online copy 30 minutes after you first open the result, or after 24 hours if you never do. Anthropic keeps API inputs for up to 30 days and does not train on them. If a result reads as low quality, email within 14 days for a refund. Advisory only: you decide what to change.

Check your references first, free

Upload the PDF or Word file to see how many of its references CrossRef can confirm and whether any cited paper has been retracted. The check quotes up to three findings from your manuscript. No payment, no account.

Your file is read on our server (a Word file is converted to PDF first). The server checks the reference list against CrossRef and looks for anonymity leftovers, then discards the file. It is not sent to Anthropic and nothing is kept.

Watch the tour

What a Paper Review looks like

Four reviewers, every reference checked against CrossRef, and a fix checklist.

An excerpt from a real report on a machine-learning paper

Every finding quotes the passage it is about.

Critical blind spots

  • Hyperparameter search asymmetry favors the proposed method.
    Quoted: "We tuned learning rate and batch size on the validation set; baselines used reported defaults."
    Surfaced by: Methodology Critic, Statistical Skeptic (consensus).
    Fix: Match the search budget for each baseline and report the protocol in the methods section.

Data-to-claim contradictions

  • Claim: "Our method beats all baselines by a wide margin."
    Evidence: Table 2 shows the proposed method tied with Baseline C within reported standard errors on 4 of 7 datasets.

Rectification checklist

  • A Add the hyperparameter search protocol to the methods (page 5, Section 3.2).
  • B Reference [17] only weakly matches its CrossRef entry. Check the title and DOI.
  • C Figure 3's y-axis breaks 0-60 then jumps to 90; redraw on a continuous scale.

References and citation support

47 of 52 references verified against CrossRef; 3 weak title matches to re-check.

Claim "Method X reduces error by 40%" cites [14], whose abstract reports a 4% reduction. Verdict: contradicted.

Read the full example report, with a note on each section →

A human pre-submission edit usually costs several hundred dollars and takes a week. This takes 4 to 15 minutes.

Choose a tier
Compare the tiers
FeatureStandard $9Journal Pack $11Deep $15
Four reviewers, each reading independentlyYesYesYes
Every reference checked against CrossRefYesYesYes
Key citations checked against the cited abstractsYesYesYes
Figure and table scanYesYesYes
Anonymity scan for double-blind reviewYesYesYes
Check against one of 25 venues' submission rulesNoYesYes
A second round: each reviewer sees the others' findings and revises its ownNoNoYes
Usual time4 to 8 min4 to 8 min10 to 15 min

Reviewing more than one manuscript? Volume packs save 16-17% per review. Buying for a lab? See invoices, purchase orders and data handling.

How the review works

  1. Layer 1: figure-integrity scan. Every page is rendered and reviewed for digital manipulation concerns, figure-vs-text contradictions, and presentation issues (broken y-axes, missing error bars, color-only encoding). The language is hedged. It flags concerns to investigate and never makes accusations.
  2. Layer 2: citation support audit. Every reference is verified against CrossRef, then we go deeper: for the most load-bearing claims, we fetch the cited source's abstract and check whether it actually supports the claim you attached it to. Each finding shows your claim next to the source's own words, with a verdict: supported, partially supported, not supported by the abstract, contradicted, or source unavailable. The language is hedged, so verify each finding against the full text.
  3. Layer 3: a four-reviewer panel. Methodology Critic, Statistical Skeptic, Data Integrity Officer, and Editor-in-Chief each red-team the paper in parallel. Findings are merged with a cross-persona consensus filter so issues raised independently by multiple personas surface first.
  4. Layer 4: the report. A final pass produces the structured report you'll act on: critical blind spots, data-to-claim contradictions, an A/B/C rectification checklist, and an honest novelty estimate.

What you get

Reviewing a grant proposal instead of a paper? Grant Review is an idea for NSF and NIH proposals, and the waitlist measures interest.

Not submitting yet?

Get one email a week before your deadline, with the submission checklist and the checks that fit in a week. Then nothing more.

The address is kept until that email goes out, then deleted 30 days later. Privacy.

How your manuscript is handled

Frequently asked questions

What does the review include?
The review runs four layers in sequence. First, a Claude Vision pass reads your figures and tables. Second, a live CrossRef cross-check covers every reference. Third, four reviewer personas (Methodology Critic, Statistical Skeptic, Data Integrity Officer, Editor-in-Chief) debate the manuscript, and consensus filtering keeps the shared findings. Fourth, a synthesis pass produces critical blind spots, data-to-claim contradictions, a prioritised rectification checklist, and a true-novelty estimate.
How long does it take?
Typically 4-8 minutes for a 20-page manuscript. You don't need to keep the tab in the foreground. The status page polls until the review is ready and renders it inline.
What about my privacy? Is the manuscript stored?
Your manuscript is sent to Anthropic's Claude API for analysis. Anthropic retains inputs for up to 30 days for abuse monitoring, and does not use them for model training. The report is emailed to you as a PDF when the review finishes. The manuscript and the online copy are deleted 30 minutes after you first open the result, or after 24 hours if you never open it. The email goes through Resend to the address on your Stripe receipt, or to the one you enter at upload. The manuscript is never attached.
Which journals does the Journal Pack check?

25 venues. The pack checks word and abstract limits, required sections and reference-style hints against the one you pick at upload.

  • Machine learning: NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR
  • General science: Nature, Science, Cell, PLOS ONE
  • Medicine: Nature Medicine, JAMA, NEJM, The Lancet, The BMJ
  • Psychology and management: Psychological Science, Journal of Personality and Social Psychology, Cognition, Academy of Management Journal
  • Chemistry and materials: JACS, Angewandte Chemie, Nature Materials, Nature Chemistry, ACS Nano, Advanced Materials

Not listed? The Standard tier covers everything except this check. Email to ask for a venue.

Is there a referral credit?
Yes. Every report ends with a link carrying your own code. When a colleague opens it and buys a review with a .edu email address, you each receive a single-use $2 code by email. The link counts for 30 days in the browser that opened it.
What domains does it cover?
You pick one of five domain profiles at upload: Machine Learning, Biomedicine, Psychology and Social Science, Chemistry and Materials, or General. Each profile tells the reviewers which failure modes matter most in that field, and each link lists them.
How deep is the citation check?
Two levels. First, every reference is checked for existence against CrossRef (dead DOIs, hallucinated or weakly-matched titles). Second, for the most load-bearing claims we fetch the cited source's abstract from OpenAlex, Semantic Scholar, or CrossRef and assess whether it supports your claim. This is an abstract-level check: a claim supported only in the full text is marked "not supported by abstract," not wrong. Verify it against the source. When no abstract can be retrieved, the citation is marked "source unavailable" rather than guessed. On citation-heavy papers we audit the most important claims first and tell you how many were not audited.
Am I allowed to use an AI review on my own manuscript?
Yes, under the policies of the major publishers and venues we have checked. Elsevier, Springer Nature, Wiley, Taylor & Francis, IEEE, ACM, ICMJE and NeurIPS let authors use AI tools while preparing a manuscript. The rule against uploading manuscripts to AI is for reviewers, who hold someone else's work. Paper Review writes nothing into your paper, so most disclosure rules (which cover AI-generated text) do not obviously apply. If your venue's policy is strict, a one-line note is enough. The policy guide compares ten publishers and venues.
Is this a replacement for peer review?
No. Treat it as a first-pass red team before you submit. It catches the obvious problems a real reviewer will flag. The review is advisory only. You remain responsible for every decision about your manuscript.
What if the review misses something or makes a mistake?
AI reviewers can be wrong. The output flags concerns with hedged language and quotes the manuscript when challenging a claim, so you can verify every finding against your text. Not useful? Email ben@purplelink.llc within 14 days of purchase and it is refunded. One refund per manuscript.
What file format?
PDF or Word (.docx) up to 20 MB. A Word file is converted to PDF before the review. Fonts, page breaks and figure placement therefore differ from Word, and a picture the converter cannot place is left out. Exporting a PDF from Word keeps your own layout. If you're submitting LaTeX, compile to PDF first (our free LaTeX-to-PDF tool works).
What about clinical or patient data?
Do not upload identifiable patient data, data covered by a data use agreement, or export-controlled material. The manuscript is sent to Anthropic's API, which keeps it for up to 30 days and does not train on it. For papers containing identifiable health information, redact before upload.