Analysis of data validation mechanisms
This function ensures the reliability of the results through a three-layer verification system:
- Multi-Engine Cross Reference: Call at least two search engines such as Google/Bing at the same time and compare the consistency of the returned results.
- Source authority assessment: Credibility markers for academic institutions, government websites, etc. that automatically identify information sources
- Timing correlation check: Prioritize the use of data updated within the last 12 months, outdated information will be automatically downgraded
The technical implementation relies on the . /scrl/handler/ directory, where server_handler.py is responsible for API calls and config.yaml defines validation thresholds. The validation logs are recorded in real time in . /outputs/research_log.txt, which contains the source URL, credibility score and final adoption decision for each query.
This answer comes from the articleDeepResearcher: driving AI to study complex problems based on reinforcement learningThe
May not be reproduced without permission:AI productivity tools " How exactly does DeepResearcher's cross-source verification feature work?
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