Pendar gives you the shape of a research field, not a summary of it.
Point it at a topic and it reports how many papers exist, whether output is growing or flattening, which disciplines and countries produce them, and which papers to read first. Every figure is counted across the whole corpus rather than estimated from a sample, so you can plan around it.
Point it at a paper and it traces what happened next: whether citations are rising or fading, which fields picked the work up, whether industry or academia is building on it, and which authors cite it most. That is how you tell a paper quietly becoming foundational from one that peaked years ago.
Paste a bibliography and it checks each reference against the published record: whether the paper exists, whether the citation describes it accurately, and whether it has been retracted. A reference it cannot find is reported as unverified rather than swapped for the nearest real paper, which matters when the citations came from a model.
Every tool is read-only. Pendar looks things up and reports what it finds.
How to use
- 1Add it in ChatGPT
Open Pendar in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick Pendar, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 3
- Survey a Research Field
Measure a research field by exact publication counts
- Trace Citation Impact
Follow who has built on a paper, and where it spread
- Verify Citations
Confirm papers exist, match their citation, and are not retracted
Things to ask
- “Survey CRISPR gene editing: how many papers exist, is output growing, and what should I read first?”
- “For DOI 10.1038/s41586-021-03819-2, which fields adopted it and is industry or academia citing it more?”
- “Check whether the papers in my reference list are real, correctly cited, and not retracted”