Tool for automatically detecting predatory journals and conferences using multiple authoritative data sources
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Updated
Mar 17, 2026 - Python
Tool for automatically detecting predatory journals and conferences using multiple authoritative data sources
A beta version of the GAIDeT Declaration Generator — a lightweight HTML tool to help researchers transparently disclose which scientific tasks were delegated to generative AI, based on the GAIDeT taxonomy.
Distributed integrity infrastructure for collusion-resistant independent verification. Blind peer validation of any verifiable claim — scientific, regulatory, or institutional — recorded as tamper-evident Harmony Records. Built in Rust on Holochain.
Lightweight git hook to detect hallucinated citations in AI-generated text
🪞 Catch false positives/negatives in AI eval claims — pre-registration, fair-baseline, small-sample CI. Zero training, zero deps.
Cite Lens: An AI Tool for Detecting Out-of-Scope and Out-of-Context Citations; Conference paper accepted at TPDL 2025
A CLI and library that verifies academic reference lists against open scholarly databases to detect hallucinated or metadata-corrupted citations.
Open Research Integrity: evidence-backed manuscript review test runner and AI reviewer protocol
Responsible use of generative AI in assisted coding
AI for Qualitative Analysis: A Practical Guide for Researchers
超级耿同学 — 学术论文多维度异常检测框架。不简单给二值判断,用贝叶斯证据网络对每条证据建模,输出带不确定性的后验造假概率。理工科7维+文科5维+因果推断+图像法医。
Statistical anomaly screener for tabular research data — flags anomalies, never fraud; 30 detectors + plugin system + optional multi-tenant Web UI.
AI-assisted screening for data-integrity fingerprints in scientific papers · 学术论文数据完整性筛查流水线(耿同学)
Open-source medical citation verifier: catches fabricated DOI/PMID/NCT references with CLI, MCP, and Claude Code skill.
Run unit tests on your manuscript. Check every manuscript claim against its cited evidence. Human-first, AI-second, Zotero-audited, local-first.
Pre-submission research data audit toolkit for reproducibility checks, statistical consistency screening, manuscript/material review, and research integrity workflows.
Sanitized software R&D methodology case study with honest NO-GO track closure.
Methods and reviewer workflows for detecting AI-generated issues in scientific manuscripts.
Reflexive case study of artifact inflation, epistemic grounding failure, and claim-boundary control in non-expert AI-assisted research.
R tool to parse and verify plain‑text academic references using Crossref & OpenAlex, with DOI checks, metadata validation, and colour‑coded reports.
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