PDF VectorPDF Vector

Academic Find Citations

Find relevant citations for your text using AI

  • Splits your text and finds citations per sentence
  • Relevance scores from 0-10 for each match
  • AI-powered semantic matching, not just keyword search

Academic Find Citations

Available as an action in

Maken8nZapier
PubMedarXivOpenAlexSemantic ScholarEurope PMCERICGoogle Scholar

Automate in 3 Steps

1

Pick Your Platform

Choose Make, n8n, or Zapier

2

Add PDF Vector

Search for 'PDF Vector' in apps/nodes list

3

Build Your Workflow

Connect to 1000+ apps

Popular Automations

Ready-to-use workflow templates for Make, n8n, and Zapier

Draft paragraph → Find references

TriggerNew draft paragraph saved in Google Docs
PDF Vector
OutputInsert citation suggestions as comments in doc
maken8n

Thesis section → Completeness check

TriggerThesis section submitted for review
PDF Vector
OutputGenerate report of uncited claims via email
maken8nzapier

Research feed → Citation monitoring

TriggerNew research summary posted to internal wiki
PDF Vector
OutputAppend suggested citations and flag unsupported claims
maken8nzapier

For Developers

Get started in seconds. Copy and run.

import { createClient } from "@pdfvector/client";const client = createClient({ apiKey: "YOUR_API_KEY" });const result = await client.academic.findCitations({  paragraph: "Large language models have demonstrated remarkable few-shot learning capabilities across a wide range of NLP tasks. The scaling of transformer architectures to billions of parameters has led to emergent abilities not observed in smaller models.",  providers: ["semantic-scholar", "openalex"],  fields: ["title", "authors", "year", "doi", "totalCitations"],});console.log(`Found ${result.totalCitations} citations`);for (const item of result.results) {  console.log(`"${item.sentence}"`);  for (const cite of item.citations) {    console.log(`  [${cite.score}] ${cite.title}`);  }}

Key Features

Semantic Matching

AI analyzes the meaning of your text to find the most relevant academic papers as citations.

Per-Sentence Analysis

Breaks your text into sentences and finds targeted citations for each claim or statement.

Score Ranking

Each suggested citation includes a relevance score so you can prioritize the best matches.

Credit Costs

Simple, predictable pricing

2 credits

per sentence with citations found

Your paragraph is split into sentences. You are only charged for sentences where relevant citations were found — sentences with no matches are free.

Examples
3 sentences, 2 have citations4 credits
5 sentences, all have citations10 credits
10 sentences, 3 have citations6 credits

Everything You Need for Document Processing

Parse, ask questions, and extract structured data from any document type

Frequently Asked Questions

Start Processing Documents Today

Get 100 free credits to try all our APIs. No credit card required.

Free forever tier · No credit card · Cancel anytime