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skills/scientific-visual-table-style/references/provenance.md
2.05 KB · Oct 5, 2026 · 18:33 UTC
# Provenance and Reference Policy The bundled reference corpus was assembled from first-party OpenAI pages, OpenAI Deployment Safety Hub assets, official OpenAI technical/system reports, and OpenAI-authored primary research papers. It contains metadata and links rather than redistributed visual assets. ## Reference tiers 1. **Tier 1 — current OpenAI web / Deployment Safety Hub** Use for current visual language: composition, hierarchy, palette restraint, typography, whitespace, direct labeling, and launch-table structure. 2. **Tier 2 — OpenAI technical/system report** Use for risk scorecards, safety evidence, uncertainty, dense technical tables, and formal reporting. 3. **Tier 3 — OpenAI-authored research paper** Use for scientific forms: ablations, calibration, distributions, scaling laws, pass@k/worst-of-k, evaluator studies, and human–AI comparisons. Do not assume conference-paper styling is current OpenAI brand styling. 4. **Tier 4 — historical OpenAI report** Use only for enduring plot forms that lack a current equivalent. Modernize typography and spacing using Tier 1. ## Reference selection constraints - Prefer exact direct assets, exact chart anchors, or exact PDF pages. - Use the nearest stable section only when an individual web-native chart has no stable asset or anchor. - Do not infer an official color code or font from a raster screenshot. - Do not redistribute proprietary fonts or copyrighted image files as part of the skill. - External links may change; the structured corpus records publication, caption, direct asset URL, parent URL, and link precision to support repair. - When current style matters materially, verify live first-party pages because web design and product visual language can evolve. ## Corpus files - `openai_visual_reference_library.jsonl`: one reference per line for deterministic retrieval. - `top_reference_set.md`: ranked canonical set. - `direct_asset_manifest.txt`: asset URLs and captions. - `reference_design_spec.md`: the compact source synthesis from which this expanded skill was derived.
SHA-256: b4c0fe139b7f54f2d9e0dae5dee36b996e02c53fde926cc926e3fd4a22b2ad1c