Find your percentile
Current cohort: all scored papers
Enter your mean score to find your place in the public reviews.
Filter by research area for a more relevant comparison.
Snapshot collected (UTC) Loading…
Choose an area. Explore the data. ↓Current cohort: all scored papers
Bin width: 0.25. Missing scores are excluded.
Counts and shares of individual scores on the original 1–4 scale.
Each cell counts reviews. Darker cells indicate more reviews.
Highest minus lowest score per paper. Requires at least two scores.
Based on the current selection. Bars show individual score shares; means give each scored paper equal weight.
| Research area | Scored / total | Paper mean score | Median | Individual score mix |
|---|
Open a title to view its OpenReview discussion. Unscored papers appear last. Row numbers reflect the current filters and sort order.
| # | Paper / research area | Status | Mean | Review scores | Mean confidence | Range |
|---|
Data comes from public OpenReview submissions and public official reviews. Submission counts include visible withdrawn and desk-rejected papers in this snapshot, and are not the official final submission total. Means are recomputed from individual scores; missing values are not treated as zero.
The overall paper mean weights each scored paper equally; the review-level mean weights each valid score equally. Disagreement statistics require at least two scores per paper. Scores and confidence use the 1–4 scales observed in this snapshot, without conversion to scales from previous years.
Collection spans a time interval rather than a single instant, and scores may change during discussion. This snapshot is not necessarily a record of initial scores. This page provides no final decisions, acceptance predictions, or score history. Differences from other sites may reflect collection time and scope.
The information layout draws on Paper Copilot for summaries, area filters, and paper tables. Data was collected independently. This project is not affiliated with ICLR, OpenReview, or Paper Copilot.