# ArXivSignals

ArXivSignals helps readers discover arXiv research through a public catalog with topic and lab tags, AI-generated signal scores, selected deep summaries, research surveys, and video overviews. Paper pages credit and link to arXiv. AI-generated analysis may contain errors; verify claims against the original paper. Public browsing, feeds, and dataset access are free.

## Browse

- [Explore](https://arxivsignals.io/explore)
- [Trending](https://arxivsignals.io/trending)
- [Summaries](https://arxivsignals.io/summaries)
- [Videos](https://arxivsignals.io/videos)
- [Topics](https://arxivsignals.io/topics)
- [Labs](https://arxivsignals.io/labs)
- [Buzz](https://arxivsignals.io/buzz)
- [Data](https://arxivsignals.io/data)

## Feeds and data

- [Daily JSON](https://arxivsignals.io/daily.json)
- [Top Signal RSS](https://arxivsignals.io/rss/top.xml)
- [Latest RSS](https://arxivsignals.io/rss/latest.xml)
- [Dataset](https://huggingface.co/datasets/taesiri/ArXivSignals): papers configuration, corpus split; see the card for licensing and provenance.