Cite-Agent
AI-powered academic research platform

Research smarter. Publish faster.

Cite-Agent connects paper search, statistical analysis, and AI writing in one workflow. From raw dataset to published paper — without switching tools.

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Good morning, Demo

Search 200M+ academic papers, synthesize research

24

Papers

3

Collections

5

Topics

2

Projects

Active Topics

AI Chatbot Tourism SEM

15 papers

Mobile Banking TAM

8 papers

Cfa: CFI=0.990, RMSEA=0.000

survey.csv · 3/6/2026

200M+

Academic papers

12

Analysis types

3

Data sources

Projects & topics

From raw data to published paper

Three steps. One platform.

01

Search & Save

Query 200M+ papers across Semantic Scholar, OpenAlex, and ArXiv. Save relevant papers to your library and organize by topic.

02

Analyze

Upload your dataset and run CFA, SEM, regression, or any of 12 analysis types. Get interactive charts and exportable results.

03

Write & Publish

Generate an IMRaD outline, draft sections with AI-grounded APA citations from your saved papers, then export to Word or LaTeX.

Everything in one place

The complete research workflow — from literature discovery to publication-ready manuscript.

Search 200M+ Papers

Semantic Scholar, OpenAlex, and ArXiv unified in one query. AI synthesis of key findings in seconds.

Publication-Grade Analysis

Regression, SEM, CFA, EFA, mediation — all with visualizations and exportable results tables.

AI-Assisted Writing

Generate IMRaD outlines, draft sections grounded in your cited papers, then humanize and export.

Research Chat

Ask questions about your library, synthesize across papers, and get APA-cited answers instantly.

Statistical Analysis

Research-grade stats, no SPSS needed

Run descriptive stats, Cronbach's α, CFA, SEM, regression, EFA, mediation, moderation, and CMB bias detection — all with interactive visualizations.

  • Fit indices: CFI, TLI, RMSEA via semopy
  • Forest plots with 95% CI
  • Path diagrams with React Flow
  • Export CSV / PNG from any table or chart
Cronbach's α
0.990Excellent
0.847Strong fit
CFI
1.000Excellent
RMSEA
0.000Perfect
Introduction — 572 words

The rapid proliferation of mobile banking has fundamentally transformed financial service delivery across emerging markets (Venkatesh et al., 2003).

This study examines technology acceptance in Indonesian digital banking using the TAM framework, incorporating trust as a moderating variable (Sofyani et al., 2024; Hidayat et al., 2025).

Grounded citations auto-inserted from your paper library
AI Writing

From outline to full draft, grounded in citations

Generate an IMRaD outline, then draft each section with AI that pulls real in-text APA citations from your saved papers. Humanize, target journals, and export.

  • IMRaD outline with word targets
  • AI drafts grounded in your library
  • Auto APA in-text citations
  • Humanize + journal targeting

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