From new papers to decision-ready briefs — with citations
CiteSignal continuously discovers, extracts, and compares ML research, then generates shareable briefs anchored to page-level evidence. Cut research time without losing the source context.
Auto-Discovery
Track arXiv, venues, and RSS feeds. New work surfaces by relevance and novelty.
Structured Extraction
Claims, methods, datasets, metrics, results — parsed with page-level citations.
Compare & Brief
Side-by-side comparisons and memo-ready briefs your team can share immediately.
A proof-first workflow for research teams
Every feature is designed to save time while keeping conclusions traceable. No black-box summaries — just structured evidence you can share, verify, and act on.
Source Discovery & Triage
Ingest from arXiv, conference venues, and custom RSS feeds. Each item is ranked by relevance, novelty signal, and deduped metadata so you review what matters first.
Structured Extraction
Parse PDFs to capture claims, methods, datasets, metrics, results, and stated limitations — each tied to a page reference you can verify in seconds.
Evidence-Grounded Briefs
Generate memo outlines, slide bullets, or one-page briefs. Every statement links back to an exact excerpt, so your stakeholders can audit the reasoning.
Side-by-Side Comparisons
Map shortlisted papers into a normalized schema — benchmarks, assumptions, compute trade-offs — for clear, apples-to-apples decision-making.
Scheduled Digests & Alerts
Set topics and benchmarks once. Receive weekly digests when new SOTA claims, retraction flags, or relevant preprints appear.
Team Workspace
Organize sources, decisions, and exports in shared projects. Add comments, annotations, and share links for seamless handoffs.
Flexible Exports
Export to Google Docs, Notion, Slack, or slide decks. Templates keep formatting consistent across your team's preferred workflow.
Confidence & Coverage Cues
When extraction is partial or evidence is indirect, CiteSignal flags it. You see exactly what's known, what's missing, and what's uncertain.
Built for how research teams actually work
From discovery to decision, every screen keeps evidence front and center.
Trusted by research teams
From graduate students to enterprise ML teams, CiteSignal helps researchers make faster, evidence-backed decisions.
“We used to spend half our Monday meetings rehashing papers. Now we share a CiteSignal brief beforehand and jump straight into decisions — with citations everyone can check.”
Dr. Priya Ramaswamy
ML Research Lead, Applied AI Lab
“The structured extraction alone saves our team 6-8 hours a week. Having claims, metrics, and limitations parsed with page references means less rework and more confidence.”
Marcus Chen
Technical Strategist, NLP Platform Team
“As a graduate student tracking fast-moving fine-tuning literature, the auto-discovery and comparison views keep me current without drowning in browser tabs.”
Elena Novak
PhD Candidate, Machine Learning
Start making evidence-backed decisions faster
Join the waitlist and be among the first teams to replace ad-hoc reading with a proof-first research workflow.