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AI Search / Accuracy

Judge AI Search Accuracy by Checking Sources and Original Text

Break the answer into facts, numbers, regulations, and research conclusions, then verify source identity and support one by one.

Verify with Literature SearchLearn to Detect Fake Citations
Six checks

How to Judge Whether an AI Search Answer Is Trustworthy

The source exists

Verify title, author, date, and publisher.

The source supports the claim

The original text must support the object, value, relationship, and conditions.

The source type is suitable

Use appropriate primary sources for rules, statistics, and research findings.

Citation format only helps location

Complete formatting does not prove authenticity or support.

Retain the search scope

Record databases, queries, and dates.

Verify critical content individually

Check important numbers, regulations, conclusions, and citations one by one.

AI Search Answer Verification Workflow

1

List items to verify

Separate sources and key numbers.

2

Open every source

Confirm identity and publication type.

3

Compare claim and original

Check objects, values, scope, and limitations.

4

Retrieve missing sources

Search again for unsupported claims.

5

Record the decision

Mark each claim as use, revise, or delete.

Claim to verifySourceOriginal locationConditionsDecision
Fact, number, or research conclusionPublisher and linkPage, section, or tableObject, time, and scopeUse, revise, or delete
Acadwrite Search and Citation Suggestions

Retrieve Candidate Sources Before Generating an Answer

Retrieve candidate papers first, generate from the results, and retain source details for verification.

  • Retrieve papers by topic
  • Retain titles, authors, sources, and links
  • Find candidate citations for existing text
  • Generate sourced answers from uploaded material

Frequently Asked Questions

Does correct citation formatting prove authenticity?

No. Verify through DOI, publisher pages, institutional sites, or databases.

Does retrieval eliminate hallucinations?

No. Search can miss papers and models can misread them; critical claims still require verification.

What if citations in a draft are wrong?

Delete false citations, search by claim again, and use only sources whose original text directly supports it.

How can Acadwrite help?

It can retrieve candidate papers and match citations to text, while users still verify the originals.

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Detect Fake AI Citations

Verify citations one by one

Write a Cited Review with AI

Retain real sources

Citation Matching Workflow

Match literature to existing text

Verify Content Before Adding It to a Document

Confirm source identity and support before writing a claim into the text.

Verify with Literature Search