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docs(samples): document golden-score (VS/FS=100) reproduction in sample READMEs#12

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docs(samples): document golden-score (VS/FS=100) reproduction in sample READMEs#12
itsloganmann wants to merge 1 commit into
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claude/samples-readme-golden-repro

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What

Adds a golden-score reproduction recipe to the samples docs so a reader can blindly regenerate the published VS 100 / FS 100 numbers.

  • samples/README.md: a new "Reproduce the golden scores (VS / FS = 100)" section, alongside the existing task-shape summary, local-serve, run-inference, and run-evaluation sections.
  • Each of the five per-sample READMEs (lumina-landing, meridian-dashboard, flux-field, prism-shader, cadence-board): a golden-reproduction block with the sample name pre-filled.

Why

The five calibrated golden outputs score VS 100 / FS 100, but the steps to reproduce that lived only in chat. This documents the exact, verified command sequence (stage the dataset, point a results dir at golden_output, evaluate in a fresh sandbox, analyze) so the numbers can be regenerated from a clean checkout.

Notes

  • Docs-only: 157 insertions, 0 deletions across six files. No code, dependency, or schema touched.
  • The GUI agent and VLM judge are non-deterministic, so the recipe states the acceptance bar: across three eval runs, at least one run with FS = 100 and at least one with VS > 80.
  • Verified on a clean checkout: a fresh venv (pip install -e .) plus a fresh sandbox container per sample reproduces VS 100 / FS 100 for all five.

Test plan

  • All six READMEs contain the golden-reproduction recipe.
  • Overall README retains task-shape, local-serve, inference, and evaluation sections.
  • Per-sample blocks carry the correct sample name in S=.
  • No em-dashes in any edited file.
  • Diff is additive only (157 insertions, 0 deletions).

…ADMEs

Document the exact, verified command sequence to reproduce the published golden scores from each sample's golden_output, so the numbers can be regenerated blindly from a clean checkout.

- samples/README.md: new "Reproduce the golden scores" section alongside the task-shape, local-serve, inference, and evaluation sections.
- Per-sample READMEs (lumina-landing, meridian-dashboard, flux-field, prism-shader, cadence-board): a golden-reproduction block with the sample name pre-filled.

Docs-only: 157 insertions, 0 deletions; no code, deps, or schema touched.
Copilot AI review requested due to automatic review settings June 1, 2026 03:05

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Pull request overview

Docs-only PR adding a "Reproduce the golden scores (VS / FS = 100)" recipe to samples/README.md and to each of the five per-sample READMEs. The recipe stages the sample dataset, copies golden_output/ into a results dir, and runs evaluate + analyze so a reader can regenerate the published golden numbers from a clean checkout.

Changes:

  • New section in samples/README.md with the full recipe and 3-run acceptance bar.
  • Identical per-sample block (with S= pre-filled) appended to each of the five sample READMEs.

Reviewed changes

Copilot reviewed 6 out of 6 changed files in this pull request and generated no comments.

Show a summary per file
File Description
samples/README.md Adds section 4 documenting the golden-score reproduction recipe across all samples.
samples/lumina-landing/README.md Appends per-sample golden-score reproduction block with S=lumina-landing.
samples/meridian-dashboard/README.md Appends per-sample golden-score block with S=meridian-dashboard.
samples/flux-field/README.md Appends per-sample golden-score block with S=flux-field.
samples/prism-shader/README.md Appends per-sample golden-score block with S=prism-shader.
samples/cadence-board/README.md Appends per-sample golden-score block with S=cadence-board.

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@itsloganmann itsloganmann deleted the claude/samples-readme-golden-repro branch June 1, 2026 03:24
@itsloganmann itsloganmann restored the claude/samples-readme-golden-repro branch June 1, 2026 03:24
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2 participants