Upload an empirical finance paper and get a full methodological audit in minutes — not months. 20 AI agents check statistics, robustness, data integrity, and more. Then chat directly with each agent about any finding.
No setup required. Upload your PDF and let the agents do what human reviewers take weeks to accomplish.
Drag and drop your empirical finance paper. We extract the text, tables, and figures automatically — no special formatting required.
Choose which specialist agents to deploy — from p-hacking detection to table consistency, endogeneity audits to robustness checks. Run one, a few, or all twenty.
Synthesize all findings into a single report with a consensus recommendation, revision roadmap, severity rankings, and a draft response letter guide.
Each agent is a focused expert trained on a specific class of methodological concern in empirical finance research.
Scans for suspicious clustering around significance thresholds and specification searching patterns.
Cross-references reported numbers across tables, text, and appendices for internal contradictions.
Evaluates instrument validity, selection bias, simultaneity, and omitted variable concerns.
Checks parallel trends assumptions, treatment timing, staggered adoption, and TWFE issues.
Assesses whether reported robustness tests are genuine or cosmetic, and flags missing ones.
Reviews sample construction, survivorship bias, data vintage issues, and look-ahead bias.
Verifies clustering choices, heteroskedasticity handling, and appropriate inference methods.
Examines functional form assumptions, variable transformations, and control variable choices.
Evaluates exposition quality, logical flow, and whether claims are properly hedged.
Identifies missing citations, mischaracterized prior work, and uncredited methodological contributions.
External validity, economic magnitude, replication feasibility, data ethics, and more specialist agents.
No more parsing twenty separate reviews. Get a single document with prioritized findings and a clear revision path.
Accept, Minor Revision, Major Revision, or Reject — with a rationale drawn from all agents.
Findings ranked by severity (Fatal → Major → Minor → Suggestion) with concrete remedies for each.
Not just critique — the report identifies what works well so you can lead with strengths in your response letter.
A structured template for responding to each concern, saving hours of drafting time.
Every finding has a dedicated chat. The agent remembers its full review, your paper, and the specific issue — so you can push back, ask for clarification, or explore fixes.
The agent has your paper, its own review, and the specific finding loaded into every response. No re-explaining needed.
Disagree with a critique? Explain your reasoning and the agent will honestly reassess — or hold firm with evidence.
Ask for specific tests, alternative specifications, or exact code snippets to address each finding.
Come back later — every chat is saved. Pick up right where you left off, finding by finding.
Standard errors are clustered at the firm level, but the treatment varies at the industry-year level. This understates standard errors and inflates t-statistics for the main coefficients.
Paper Referee is optimized for empirical finance research — papers with regression tables, statistical tests, and quantitative methodology. This includes asset pricing, corporate finance, banking, and financial economics papers. It can also provide useful feedback on empirical papers in adjacent fields like economics and accounting.
Individual agents typically complete in 30–90 seconds. Running all 20 agents sequentially takes around 10–15 minutes. The synthesis report generates in about 60 seconds after agents finish. You can also run agents selectively — just the ones most relevant to your paper.
Your paper is only used to generate the review. It is not shared, indexed, or used to train models. Uploaded files are stored securely and can be deleted at any time from your dashboard.
No — and it is not intended to. Paper Referee is a pre-submission diagnostic tool. Think of it as a thorough first pass that catches the issues reviewers will notice, so you can fix them before submission. Human judgment, domain expertise, and editorial assessment remain irreplaceable.
Findings are ranked on a seven-level scale: Fatal-A (paper-invalidating), Fatal-B, Fatal-C, Major (likely R&R concern), Moderate, Minor, and Suggestion. This helps you triage which issues to address first and allocate revision effort efficiently.
Every finding has a "Discuss" button that opens a dedicated chat with the agent that raised it. The agent has full context — your paper, its complete review, and the specific finding — so you can ask follow-up questions, push back on a critique, or request concrete code and specification changes. Conversations are persisted, so you can return to them at any time.
Library B is the studio behind Paper Referee and other research tools. We build focused, well-crafted software for academics and researchers — each product is a standalone site under the Library B family.
Upload your paper and get a full AI-powered peer review. No account required.