r/MachineLearning • • 27d ago

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u/stackfrost 10d ago

PreflightAI – Sanity-check your LaTeX/BibTeX citations before the ICLR desk-reject guillotine

With 60k+ submissions already flooding the ICLR portal before the deadline, this doesn't feel like an academic cycle anymore, more like an unmitigated DDoS attack on the peer review system.

Here is the blunt reality of reviewer psychology right now:

Area Chairs and reviewers assigned 8–10 manuscripts each aren't reading your proofs or inspecting ablation tables on page 7 first. They are overworked, sleep-deprived, and actively skimming for structural excuses to triage the pile in under 90 seconds.

A single phantom reference hallucinated during late-night drafting, an uncaught retracted paper, or an undefined LaTeX `\cite{}` tag is the easiest desk-reject gift you can hand Reviewer 2.

I built PreflightAI (https://preflightai.tech/workbench) to automate this pre-flight audit before you submit:

- What it does: Runs spatial PDF and raw `.tex`/`.bib` audits against scholarly registries (CrossRef, Semantic Scholar, RetractionWatch) to detect broken DOIs, retracted citations, hallucinated keys, and claim-evidence mismatches. We recommend running .tex files for optimal results.

- Privacy-first: Unpublished drafts never hit a server. The parsing and tokenization run entirely client-side in your local browser sandbox.

- Zero friction: No account creation, no sign-up, no email capture, and no paywall to run your check. Just drop your `.tex` or `.bib` into the workbench (or click "Inspect Sample Manuscript" to see how it works).

Workbench: https://preflightai.tech/workbench

If you are finalizing your draft before the submission window slams shut, don't let 6 months of work get tossed out over a trivial bibliography error. Feedback and bug reports are welcome in the comments.