New research, evaluated against yours

Alerts tell you what was published. PaperCurrent tells you what may matter to your work.

Build a research profile from your own papers, hypotheses, and methods. Every week, new literature is checked against it — you see at most five hits, each with the evidence visible.

Request beta access See an example digest
¶  Your weekly digest
3 of 212 new candidates may matter to your work.
212 checked3 above threshold11 weak signals
Prediction error signals do not modulate incidental encoding under divided attention
Vogel, T., Okafor, A. · 2026 · Psychological Science · Peer-reviewed · Open access
Possible challenge ¶ PaperCurrent's assessment 5/5

Reports a null effect where your H2 expects prediction-error-driven encoding benefits.

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

Abstract-based · High confidence · Suggested: read this week
A registered replication of retrieval-induced forgetting across 21 labs
Multi-lab consortium · 2026 · AMPPS · Peer-reviewed
Method ¶ PaperCurrent's assessment 4/5

Multi-lab paradigm matches the retrieval-practice design in your current experiment.

Abstract-based · High confidence · Suggested: check methodically
Theory Attention as inference: a unifying account of selection 4/5
Open the full inbox → A paper is missing?

A realistic example from a fictional research profile — not live data.

Three steps, then it runs weekly.

01

Create your research profile

Import from ORCID or BibTeX, pick a few representative papers, and state your hypotheses, methods, and boundaries. You confirm every word.

02

New literature is checked against it

Every week PaperCurrent searches multiple sources, deduplicates, and evaluates each candidate against your profile — with a stricter second pass for possible challenges.

03

Read only what may matter

At most five hits per digest, each with a score, a one-sentence why, and a verbatim quote from the abstract. Quiet weeks are verified, not empty.

Evidence-bound

Every claim in an assessment quotes the title or abstract verbatim — and the quote is verified programmatically. No fragment, no hit.

Challenges checked twice

A “possible challenge” to one of your positions survives only after a second, stricter model pass. Suppressed borderline cases stay visible as weak signals.

Silence is a result

An empty week shows the work: how many candidates were checked and that none crossed your threshold. A quiet digest is a verified quiet week.

Alerts, feeds, and chat prompts — versus evaluation.

Plenty of tools tell you what's new, or recommend what's like what you've read. None of them check a new paper against the hypotheses you're actually testing.

What it gives youWhat PaperCurrent adds
Scholar alerts New matches for keywords and authors — every week, regardless of relevance. An explicit check against your hypotheses and methods, scored and evidenced, capped at five.
Personalized digests
Scholar Inbox, R Discovery
A weekly feed of papers like the ones you've read and rated — ranked by interest. Judged against the hypotheses you stated, not inferred from clicks — with the reason and the evidence shown.
AI research assistants
Elicit, Undermind
Alerts on new papers matching a saved research question, with a relevance score. A versioned profile of several positions and boundaries, a verified challenge flag, calibrated confidence, and a verbatim evidence quote.
scite Supporting and contrasting citations — after the field has cited a paper. A possible challenge to your position at publication time — no citation needed, before anyone has reacted.
A scheduled LLM prompt A plausible-sounding weekly summary with no memory and no guarantees. A versioned profile, reproducible evaluations with pinned model and prompt versions, cross-source deduplication, and documented precision.

Built to be checked, not believed.

Open sources

OpenAlex, Crossref, Europe PMC, and Unpaywall — openly documented, with per-source provenance stored for every paper.

Reproducible scoring

Every evaluation pins the profile version, criteria version, prompt version, and model version it was made with. Nothing is rescored silently.

Abstract-based, and says so

Judgements rest on titles and abstracts, never on full texts — and each card shows which. Missing abstracts cap the confidence label.

Read the full methods page. Technical origin: LitMonitor by Maximilian Stefani.

Plans

Free

Free feeds recommend. This one evaluates.

One profile, one monitor, a monthly digest — judged against your hypotheses, not your reading history.

Planned 2027

Pro

Your whole research program, watched weekly.

Five monitors, weekly digests, custom criteria, exports.

Lab

Shared monitors for a small group.

Up to five people, shared feedback. After Pro proves itself.

The private beta is free and limited to 30 researchers. Prices follow the validation report, not the other way round.

Watch the literature around your research.

Request beta access