# Claim–Evidence–Citation Mapper Extract factual claims from a document, map each to its footnote/link/reference evidence, and flag unsourced, weak-source, duplicate-citation, and ambiguous-scope claims > Canonical page: https://elysiatools.com/en/tools/claim-evidence-citation-mapper - **Category:** Text Processing - **Keywords:** citation, claim, evidence, fact-checking, footnote, reference, academic writing, source mapping, verification ## Overview For academic writers, editors, and fact-checkers. A local regex pass first locates footnote/link markers and the reference list; then AI (deepseek-v4-flash) extracts factual claims and matches each to its most relevant citation or marker, producing a claim→evidence mapping table and flagging four risk types: unsourced, weak source (only a generic citation), the same citation backing several distinct claims, and ambiguous citation scope. AI failure degrades gracefully to a local-only result (markers + counts). Local-first with optional AI. ## Inputs - **Document text** (textarea): Paste the document with inline footnote/link markers, e.g. Global temperatures rose 1.1°C since 1880 \[1\]. Sea level may reach +1m by 2100 (2). - **Citations / references (one per line)** (textarea): \[1\] IPCC AR6, 2021. \[2\] NASA Sea Level Portal. - **Footnote / link markers (regex allowed)** (text): Optional extra regex for markers, e.g. \bNote\d+\b - **Use AI (deepseek-v4-flash)** (checkbox) ## When to use - Check whether factual claims in an academic draft have supporting citations. - Review footnote, link, and reference markers before editing or publishing. - Create a claim-to-evidence overview for fact-checking and source review. ## How it works - Paste the document text, including inline footnote, link, or reference markers. - Optionally add citations or references, one per line, and provide an extra marker regex if needed. - The local pass detects markers and reference entries; optional AI extracts claims and matches them to relevant citations. - The HTML result presents the mapping, risk flags, or local marker and count results if AI is unavailable or disabled. ## Use cases - Academic writing review: connect factual statements in a paper to footnotes and references. - Editorial fact-checking: identify unsupported or ambiguously cited claims before publication. - Source mapping: compare inline markers with a reference list and spot repeated citation use. ## Frequently asked questions ### What input does the tool require? Document text is required. Citations or references and an extra marker regex are optional. ### Can I use the tool without AI? Yes. With AI disabled, the local pass still locates markers and citations and reports counts. ### What does the AI analysis identify? It extracts factual claims, maps them to relevant citation markers or references, and flags four citation risks. ### Which citation risks are flagged? The tool flags unsourced claims, weak generic sources, duplicate citation support for distinct claims, and ambiguous citation scope. ### What happens if AI analysis fails? The tool falls back to a local-only result containing detected markers and counts. ## Related tools - [Bulk Email Extractor](https://elysiatools.com/en/tools/bulk-email-extractor): Extract all email addresses from input text, articles, web source code, or mixed content. 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