A weekly reading list for your research

Keep up with new research. Find the papers worth your time.

Tell us what you're working on. Each week, PaperCurrent checks new papers against your topics, methods, and hypotheses, then emails you up to five to consider. Each comes with a reason and a quote you can check.

Join the beta See an example digest
¶  Your weekly digest
3 papers worth a look this week.
212 checked3 selected11 other matches
Prediction error signals do not modulate incidental encoding under divided attention
Vogel, T., Okafor, A. · 2026 · Psychological Science · Peer-reviewed · Open access
Possible challenge ¶ Why this paper 5/5

This study found no memory benefit from prediction errors under divided attention, which may challenge your H2.

From the abstract “…prediction error magnitude did not predict later recognition when attention was divided…”

Based on the abstract · High confidence · Read this week
A registered replication of retrieval-induced forgetting across 21 labs
Multi-lab consortium · 2026 · AMPPS · Peer-reviewed
Method ¶ Why this paper 4/5

The retrieval-practice task used across these labs matches the design of your current experiment.

Based on the abstract · High confidence · Look at the methods
Theory Attention as inference: a unifying account of selection 4/5
Open your inbox → Did we miss a paper?

An example digest with fictional papers and a fictional research profile.

Set it up once. Get new papers each week.

01

Create your research profile

Import papers using your ORCID iD or a BibTeX file. Choose a few that reflect your current work, then describe your research questions, methods, and topics to leave out.

02

Let PaperCurrent check for new papers

Each week, PaperCurrent searches several publication indexes, removes duplicates, and checks papers against your profile. Findings that may challenge your hypotheses get a second check.

03

Choose what to read next

Your email includes up to five papers, each with a score, a short explanation, and a quote from the title or abstract. If nothing makes the list, you'll still see how many papers were checked.

See the evidence

Each assessment includes a quote from the paper's title or abstract. We check that the quote appears in the source before showing the result.

Take a closer look at challenges

Before a paper is labelled a “possible challenge” to your hypothesis, a second AI check reviews the evidence. Borderline cases appear under Other matches, with a reason.

Know when it's a quiet week

Some weeks, nothing makes the reading list. Your digest still shows the number of papers checked, so you can see what happened.

Start with the questions behind your work.

Your profile gives PaperCurrent something specific to look for: the topics you study, the methods you use, and the hypotheses you're testing.

In your profileWhat to includeHow it helps
Research area The questions, populations, and topics you're studying. Papers are assessed for how closely they relate to your work.
Methods Your study designs, measurements, and analyses. A paper may be useful because of its methods, even when its topic is less closely related.
Hypotheses The findings you expect and the claims you're testing. PaperCurrent looks for findings that may challenge those claims and shows the evidence behind each flag.
Topics to leave out Subjects, populations, or publication types outside your scope. These help keep unrelated papers out of your reading list.
Your feedback Mark papers as relevant, not relevant, or saved for later. Your ratings show how useful the results are and provide examples for future assessments.

See how each result was chosen.

Where the papers come from

We search OpenAlex, Crossref, and Europe PMC, and use Unpaywall to find open-access links. We record which sources supplied each paper's details.

A record of each assessment

We save the profile, criteria, instructions, and model used for each assessment. When you update your profile, earlier scores keep their original context.

Clear about what was read

Assessments use the title and abstract. Each result shows what was available. When an abstract is missing, confidence is limited.

Read more about how assessments work. Based on LitMonitor by Maximilian Stefani.

Plans after the beta

Free

A place to start.

Planned: one research profile, one monitor, and a monthly digest.

Planned 2027

Pro

Follow several research projects.

Planned: five monitors, weekly digests, custom assessment criteria, and exports.

Lab

Keep your group up to date.

Planned after Pro: shared monitors and feedback for up to five people.

The private beta is free for up to 30 researchers and includes weekly digests. We'll share pricing once we've reviewed the beta results.

Spend less time looking for your next paper.

Join the beta