Scenario in benchmark · Version 1

A claim in the answer traced back to its source

A citation in an answer lands on text that supports the claim it is attached to.

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

No published results for this scenario yet.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
No published result · alphabetical
Denser AI——No published result
Dify——No published result
FutureSmart Document Intelligence——No published result
Llama Cloud——No published result
Onyx——No published result
Vectara——No published result
Vectorize.io——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Citations

What this scenario evaluates

  • Whether each citation resolves to text that supports the specific claim it accompanies.
  • Whether a citation that points to the right source but not the supporting passage is treated as incorrect.
  • Whether a citation that lands on related text without claim support is treated as incorrect.
  • Whether the cited passage can be checked directly against the claim without relying on document-level similarity alone.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
A claim in the answer traced back to its source in Managed RAG | AI Demos