AI Research Sources: Original, Syndicated or Repeated

Count evidence origins for each claim, not links in the bibliography. An original study, its press release and a syndicated story can all be useful documents while providing only one underlying set of observations. Conversely, a shared publisher does not prove that two investigations used the same evidence.

The useful question is what the next source adds: a copy, a new interpretation, an updated record or a new collection. This reference maps those relationships without treating all secondary reporting as worthless or every new domain as independent confirmation.

Use the table for a particular assertion, not as a permanent label for a publisher. “New collection” records a different acquisition activity; it does not guarantee statistical independence. Common samples, instruments or upstream feeds may still connect the results.

The Cochrane Handbook’s search and selection chapter separates studies from reports of studies. It advises linking reports of the same study while retaining secondary reports that may contain additional information. We adapt that distinction to business research; this article is not a clinical-review protocol.

The W3C PROV primer models derivation and revision separately. Its corrected-dataset example connects a new chart to the data version that produced it. That is a useful basis for recording whether a later document adds observations or changes an earlier representation.

Choose the assertion that drives the recommendation. Open its cited document and follow the attribution to the underlying study, interview or record. Record the original title, authors or institution, observation period and any stable identifier. Then inspect the other documents for those same details.

An illustrative bundle might contain a laboratory report, a press release, a news story quoting that release and a translated version of the story. Keep the four documents in one source family for the laboratory result. If the news story also interviews an outside researcher, that interview can add interpretation without becoming a second experiment.

Similar numbers and wording are clues, not proof. Two separate studies can share a method and an institution. If the connection cannot be established from inspected material, mark the relationship UNVERIFIED and avoid claiming independent corroboration.

A reanalysis can challenge a finding without collecting new data. It may expose a calculation error, change an exclusion rule or use a different model of uncertainty. Those are substantive contributions. Describe them as a new analysis of the same data, and keep the method disagreement visible.

A follow-up may add a later outcome while observing the same participants. It is neither a mere copy nor a wholly unrelated population. The appropriate description depends on the claim: evidence about change over time can be new even when the cohort is shared.

An article can also combine repeated claims with original interviews or records. Split its contribution at the claim level. The citation-check reference helps test whether each passage supports the wording; this reference helps describe the relationship between the passages.

In the draft, name the original study, identify reanalysis as reanalysis and state what a separate investigation actually checked. Keep the source-family record so a later correction reaches every dependent claim.

For a related but different problem, see why AI reviewers can agree on a wrong answer . For revisions to published prose, use the fact-preservation guide .

Scope. Reproduced material, new interpretation, evolving records and new collection.

As-of date. September 7, 2026. This is the actual source collection and review date; the article is dated September 6.

Collection. Trace each claim to its originating evidence and compare later contributions. Separate reused data, revisions and fresh collection; domains and author names alone do not establish independence.

Sources and interpretation. W3C PROV supplies derivation and revision concepts. Cochrane distinguishes studies from their reports and says secondary reports may add useful information. Applying that distinction to AI-generated business research is our editorial adaptation; it is not a claim of systematic-review compliance.

Exclusions. No vendor census, model benchmark, search-volume estimate or observed failure rate. Examples are hypothetical; no customer operations were tested.

Gaps and limitations. UNVERIFIED means the evidence has not been inspected or the relationship remains unresolved after inspection. Similar cases can overlap in practice; classify the particular claim or operation, and retain uncertainty when the distinction cannot be established.

Refresh. Review when source guidance or the classification changes.

The table’s groups are easiest to apply when the inflation has already happened. The illustrative bundles below each miscount observations: three turn a single set into apparent corroboration, and one merges two real collections into one. They are patterns the rows describe, not observed briefs.

The first three inflate agreement and the fourth deflates it, which is why the table asks for the relationship to be classified per claim rather than by publisher or domain.

The method section asks for a source family per consequential claim, and the family is easier to keep if it has a fixed shape. Six fields are enough. The claim, with a short identifier. The originating document: title, authors or institution, observation period and any stable identifier. Each later document in the family, with the relationship label the table gives it, such as copy, translation, reanalysis, expert commentary, corrected report, follow-up or new collection. What each later document adds, in a phrase. The status of the relationship, established from inspected material or UNVERIFIED. And the sentence the draft may use, written so that it claims only what the family supports.

An illustrative record for a laboratory result reads: claim L1, the measured effect as stated; origin, the laboratory report with its institution, observation period and identifier; family, the press release as a copy, the trade story as a copy with an outside researcher’s interview adding interpretation, the translation as a translation, and a later reanalysis as a new analysis of the same data with a different exclusion rule; status, all relationships established from the documents’ own attributions; permitted sentence, one study, reported in three places, with one reanalysis that reaches a different estimate.

The record does the write-up section’s work in advance. When a correction reaches the originating document, the family shows every dependent claim. When an editor asks whether the finding is corroborated, the answer is in the relationship labels, and the W3C PROV distinction between derivation and revision that the evidence section cites is the basis the labels adapt.

Build one source family for the claim that carries the most weight in your next brief. Writing the six fields is likely to take less time than the first correction that has to find every place the claim was repeated.