Our Method

We use AI heavily to run this site. We're not hiding that. Here's exactly how it works.

Sources

Every day, thousands of research papers are published across preprint servers worldwide. Most will never be read by anyone outside the authors' immediate field.

SeriesFusion.ai uses automated systems to scan dozens of open-access preprint servers and journals daily. arXiv, bioRxiv, medRxiv, SSRN, ChemRxiv, PsyArXiv, and more. Thousands of papers. We're looking for the ones worth your time.

We present them in plain language anyone can understand. No PhD required. No jargon walls. Just real science, made accessible.

Filtering

Each paper runs through domain-specific AI prompts calibrated for its field. Physics papers get evaluated differently from biology papers, which get evaluated differently from economics papers. There's no single generic filter.

Selection is based on novelty, surprise, and significance to the field. Not institutional prestige. Not researcher fame. A paper from an unknown lab gets treated the same as one from MIT. We don't care about pedigree.

Multi-Model Pipeline

Candidates pass through a multi-model architecture using frontier models from Anthropic, Google, OpenAI, xAI, and others. Models and processes change as the program evolves. We'll be transparent when they do.

The pipeline has three stages:

Discovery. Domain-tuned prompts identify papers with genuinely surprising findings. These prompts are the product of extensive testing and calibration against known high-quality papers.

Summarizing. Findings get translated into vivid, accurate, plain-language titles and summaries. The goal: accessibility without sacrificing accuracy. Every title and summary stays grounded in what the paper actually says.

Human Curation. The featured papers at the top of the homepage are picked by a human editor from the AI-surfaced pool. The AI finds candidates. A human picks the best.

Images

Featured paper images are AI-generated editorial illustrations based on the paper's findings. They are not photographs. They do not represent actual data or results unless clearly labeled otherwise.

What We Don't Do

What We're Not

We're not a journal, a review service, or a news outlet.

We don't fabricate findings or exaggerate results. We don't rank papers for clicks. We don't peer review or validate methodology. We don't editorialize beyond the title and summary.

We summarize what the paper claims. We don't interpret what it means beyond what the authors state.

Every paper links directly to the original source. Read it yourself. Come to your own conclusions.

Who We Are

SeriesFusion.ai is a project of SeriesFusion. Built with curiosity and a belief that the most interesting things happening in the world right now are buried in the research, not the headlines.