deepcitation

Map LLM claims to source documents and verify matches with visual proof.

13|2|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/DeepCitation/deepcitation-js --skill deepcitation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepcitation
Source: https://github.com/DeepCitation/deepcitation-js/tree/main/docs
Command: npx skills add https://github.com/DeepCitation/deepcitation-js --skill deepcitation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Verifies AI-generated claims against source documents and provides visual proof for every verified assertion, reducing hallucinations and increasing trust.

Core Features & Use Cases

  • Source upload and prompt preparation: Upload documents and extract structured text with page/line markers for deterministic verification.
  • Claim mapping and verification: Map LLM claims to source text and verify exact or approximate matches.
  • Visual proof delivery: Return verification images showing exact match contexts for decision support.

Quick Start

Run a simple workflow by uploading your document bundle and piping LLM output into the verifier to receive per-claim verifications with visual proofs.

Frequently Asked Questions about deepcitation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify LLM-generated claims against source documents?

To verify LLM-generated claims against source documents, upload your document bundle to extract structured text with page and line markers, then pipe LLM output into the verifier to receive per-claim verification statuses.

Can I get visual proof for AI citations to reduce hallucinations?

Yes, visual proof for AI citations is delivered as verification images showing exact match contexts for each assertion, reducing hallucinations by providing decision support for verified claims against source documents.

How does fact-checking work for LLM outputs mapped to source text?

Fact-checking works by mapping LLM claims to source text and verifying exact or approximate matches against uploaded documents, returning a verification status with visual proof for every extracted assertion.

Do I need an API key to use automated citation verification?

Yes, an API key is required to use automated citation verification, which supports structured JSON outputs for programmatic consumption when mapping LLM outputs to source documents.

What is the best way to prepare source documents for AI claim verification?

The best way to prepare source documents for AI claim verification is uploading them to extract structured text with deterministic page and line markers, ensuring accurate claim mapping and visual proof delivery.

Does citation verification support structured JSON outputs for programmatic consumption?

Yes, citation verification supports structured JSON outputs for programmatic consumption, requiring an API key to map LLM outputs to source documents and return verification statuses with visual proof.