PaperByPass

v2.0

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Defend Academic Integrity. Back Every Claim with Traceable Data.

Auto Figure Cross-Check
End-to-End Evidence Tracing
360° Fraud Detection

Leverage advanced AI to automatically match publication charts with original lab records. Pinpoint data tampering risks instantly and protect your scientific legacy.

Choose Your Detection Service

Pick the scan that fits your evidence needs

SERVICE 01

Raw Data Anomaly Detection

200 Credits
/ scan
SUPPORTED FORMATS
.xls.xlsx.csv.zip
DETECTION SCOPE
Spreadsheet-level fraud signals

Combining statistical analysis with large language models, the system deeply scans raw experimental data tables and builds risk profiles. It detects last-digit uniformity deviations, second-to-last digit clustering, Benford fluctuations, row-column co-clustering, cross-group linear and nonlinear associations, extreme-value anomalies, abnormal missing-value underreporting, variance-homogeneity issues via Levene's test, and temporal-flow inconsistencies to uncover fabrication, manual manipulation, and abnormal duplication risks.

Drag & drop .xls / .xlsx / .zip here

Up to 50MB · End-to-end encrypted

SERVICE 02

End-to-End Data Cross Check

300 Credits
/ scan
SUPPORTED FORMATS
.pdf.xls.xlsx.csv.txt.log.zip
DETECTION SCOPE
Chart-to-source cross-check

Full-chain data provenance detection deeply parses the core data embedded in manuscript PDFs and rigorously cross-checks it against underlying experimental logs. By reconstructing every step of the data-processing trajectory, it enables bidirectional traceability from experimental source to scholarly output, exposing data manipulation, selective reporting, and other forms of misconduct while establishing a tamper-resistant closed loop of experimental evidence.

Drop manuscript PDF + raw logs (.xls / .log / .zip)

Bundle up to 200MB · End-to-end encrypted

SERVICE 03

Manuscript Fig&Tab Misconduct Detection

400 Credits
/ scan
SUPPORTED FORMATS
.pdf.zip
DETECTION SCOPE
Duplication · tampering

Upload your full manuscript with one click for an intelligent compliance check of PDF figures and associated numerical values. We accurately detect high-risk academic misconduct issues—such as figure duplication and artificial tampering—preventing retraction risks at the source.

Drop manuscript PDF (or .zip of figures)

Up to 100MB · End-to-end encrypted

How It Works: Streamlined for Your Convenience

Four steps from submission to traceable report

STEP 01

Select Scenario

Choose the appropriate data verification or figure compliance service tailored to your specific needs.

STEP 02

Secure Upload

Securely upload your experimental logs or manuscripts with one click. We employ strict encryption to guarantee your data privacy.

STEP 03

AI Analysis

Our cutting-edge AI runs fully automated, performing multi-dimensional cross-checks to pinpoint potential manipulation risks.

STEP 04

Generate Report

Rapidly receive a comprehensive detection and traceability report, providing robust evidence to safeguard your research.

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