# proof42.ai

> Proof42 offers a methodology for verifying AI output. Learn how to check language model claims using evidence-based source and fact verification.

This site details a methodology for verifying AI output and checking language model claims. Research shows models fabricate sources and provide confident but incorrect information without search grounding.

## Author

- Zoltán Varga — AI visibility researcher and AI ecosystem architect, Budapest: https://vargazoltan.ai/
- English profile: https://zoltanvarga.ai/en/about/
- ORCID: https://orcid.org/0009-0003-1020-834X
- arXiv author: https://arxiv.org/a/varga_z_1.html
- Zenodo: https://zenodo.org/search?q=owners%3A1653886

## Publications

- Per-Entity Bias Mapping for AI Visibility: Why Brand Mentions Require Entity-Specific Calibration (arXiv:2606.21595): https://arxiv.org/abs/2606.21595
- AI Visibility in the Generative Era: A Manifesto for Entity-Level Measurement (DOI 10.5281/zenodo.20285424): https://doi.org/10.5281/zenodo.20285424
- Quality Challenges Do Not Escalate Source Fabrication in Large Language Models (RICE-P1) (DOI 10.5281/zenodo.20474050): https://doi.org/10.5281/zenodo.20474050
- Rejection-Induced Confabulation Escalation — Pilot Study 2 (RICE-P2) (DOI 10.5281/zenodo.20509755): https://doi.org/10.5281/zenodo.20509755

## Key topics

- AI verification methodology
- check AI output
- language model fact checking
- source verification AI
- AI hallucination detection
- verify AI claims
- AI trust framework
- fabricated sources AI
- search grounded answers
- AI safety research
- AI visibility researcher
- Zoltán Varga AI
- AI source checking Hungary
- ellenőrzés mesterséges intelligencia
- AI tényellenőrzés
- forrás hitelesítés AI
- AI verifikáció módszertan
- hallucináció detektálás

## Questions and answers

### How do I know if an AI citation is real?

Check the original source document directly rather than trusting the AI summary. Research shows that without search grounding, models frequently fabricate sources at high rates compared to search-grounded tools.

### Why do AI models give wrong product doses?

Models generate confident but incorrect information when they lack search grounding. When connected to official authorization documents via search, the answers match the correct data.

### Can AI systems be tricked into citing fake concepts?

Yes, a small number of public posts can cause multiple AI systems to cite a made-up concept within a week. This proves that AI-search sources can be fed false information easily.

### What is the difference between ChatGPT and Perplexity regarding sources?

Studies show ChatGPT's fabricated-source rate was significantly higher than Perplexity's. On human-coded endpoints, Perplexity achieved 100% accuracy while ChatGPT scored 15.7%.

### Does this site offer verification services?

No, this site describes a verification methodology and presents research findings. It does not offer commercial verification services under the Proof42 name at this time.

### Who developed the verification protocol mentioned here?

The protocol uses practices developed by Zoltán Varga, including claim-level verification and source checking. These methods are part of his research on neural knowledge systems.

## Related

- Research: https://vargazoltan.ai/kutatas/
- About: https://vargazoltan.ai/en/about/
- Contact: https://vargazoltan.ai/kapcsolat/