Use AI to expand research without treating fluent text, repeated output or model confidence as verification.
Open →Decision technique
Source trace
Separate independent evidence from repetition and generated summaries.
When to use
A specific reasoning move for a specific problem.
When a claim appears in many articles, AI answers or internal documents.
Procedure
Run the technique.
- Write the exact claim.
- Trace each important mention back to its earliest inspectable source.
- Group copies that depend on the same origin.
- Judge confidence from independent evidence, not the number of repetitions.
Limit
What this technique cannot guarantee.
The earliest source is not automatically the best source; quality and methodology still matter.
Situations
Where this may be useful.
Test whether repetition represents independent evidence or only makes a claim feel familiar.
Open →Evidence-linked concepts
Why this check may matter.
Practice this technique
See when the move becomes useful.
An AI assistant gives a clear recommendation and names several studies, but the citations cannot be located. The team wants to use the recommendation because it sounds complete.
Skill: AI-assisted reasoningOpen scenario →Five generated summaries repeat the same market statistic. The team treats the repetition as strong agreement, but every answer appears to depend on the same unverified report.
Skill: AI-assisted reasoningOpen scenario →A claim appears in ten articles. Following the links shows that nine articles cite the tenth, which cites one small report.
Skill: Information verificationOpen scenario →A report corrects a false explanation for an event but gives no supported alternative. Later discussions still use the old explanation because it is the only coherent story people remember.
Skill: Information verificationOpen scenario →
