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Reference and golden outputs

Understand Case-scoped example responses without treating them as generic approval state or candidate behavior.

Reference and golden outputs

Definition

A golden or reference output is a Case-scoped example response available on supported review, mapping, or Snapshot surfaces. It can help a reviewer understand intended behavior for that Case, but it is not a global Policy, a saved Harness Version, or a generic customer approval state.

Use this reference only where the product explicitly exposes a golden or reference response. Do not rename every expert answer, reviewed response, or imported candidate output as an “accepted output.”

Fields, states, or lifecycle rules

  • Keep the reference response attached to the Case and evidence context that justifies it.
  • A candidate Run response does not become a reference response merely because it passed a Rubric.
  • Reviewer comments and Contribution rationale remain attributable review input, not output state.
  • A reference-output change can require a new Case, Snapshot, or Benchmark Version boundary when it affects governed interpretation.
  • Policies and Rubrics remain the reusable correctness standard; a reference output illustrates one Case.
  • This page does not define an export format or public output schema.

Read reference outputs with Outputs, Cases, Correctness Governance, and Expert Contributions.

Worked example

Case-scoped reference response

A compatibility Case includes a reference response that says the available source does not confirm support and directs the user to an explicit compatibility check. The response illustrates desired behavior for that Case. The reusable requirement still belongs in the applicable Policy and Rubric.

Source confidence

Code-backed: output mapping, Snapshot artifacts, linked Policy Cases, and Contribution review surfaces expose golden or reference responses as Case-scoped evidence with explicit review or overwrite actions. The sources do not establish a universal accepted-output lifecycle.

Related task pages

Task / Benchmark EvaluationsMap External Evaluation OutputsImport reference outputs, map them to immutable benchmark Cases and attempts, and inspect the resulting output-only Run.Task / Coverage ManagementCase ReviewPrepare, inspect, refine, and admit Case candidates and generated materials into the benchmark dataset.Task / Expert ContributionsComplete an Expert ContributionWork through form, chat, interview, case-review, and checkpoint tasks while keeping specialist judgment attributable.Task / Benchmark EvaluationsInspect Evaluation ResultsTrace Dashboard and List signals to Run, Case, Policy, Rubric, completeness, and telemetry evidence.

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Related docs

Object Model Outputs Distinguish managed Run responses, imported output-only Runs, and Case-scoped reference outputs. Object Model Cases Understand cases as the situations Teammately uses to represent important AI behavior. Correctness Governance Policies and Rubrics Understand the governed relationship between behavior policies, applicability, binary rubrics, linked cases, and expert provenance.
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