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docs: fix three stale/inaccurate repo-meta references (llms.txt, ROADMAP, DEAD-FILE-AUDIT) #562

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Merged
yakew7 merged 1 commit into from
Sep 10, 2026
Merged

docs: fix three stale/inaccurate repo-meta references (llms.txt, ROADMAP, DEAD-FILE-AUDIT) #562

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5 changes: 4 additions & 1 deletion .github/DEAD-FILE-AUDIT.md
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Expand Up @@ -28,9 +28,12 @@ either a standard project file or directly `<link>`/`<meta>`-referenced from `in

## `assets/`

- `explainers-data.js`, `explainers-data.json`, `explainers-ui.js`, `explainers.css`,
- `explainers-data.js`, `explainers-data.json`, `explainers.css`,
`profiler-compare.js`, `profiler-engine.js`, `profiler-ui.js`, `profiler.css` - all
`<script>`/`<link>`-referenced from `index.html`, `profiler.html`, and/or the explainer pages.
- `explainers-ui.js` - referenced only by `index.html` (powers the explainer-card grid and
its client-side detail view). None of the 60 generated explainer pages load it, so its
`renderDetailPage`/`renderMarkdown` path is not exercised by any real explainer page.
- `assets/fonts/*.ttf` (+ their `OFL-*.txt` licenses) - all four font files are loaded by
`scripts/generate_og_images.py`, not by any page's CSS - they're inputs to the OG-image
generation pipeline, not a web font stack.
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2 changes: 1 addition & 1 deletion ROADMAP.md
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Expand Up @@ -27,7 +27,7 @@ Fair Code is an open-source responsible AI platform explaining algorithmic bias,

| Stars | Contributors | Forks | Watching | Social Reach | Countries | Audits | Explainers | CI |
|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
| 46 | 28 | 32 | 8 | 30K+ | 20 | 7 | 53 | ✅ every push/PR |
| 46 | 29 | 33 | 8 | 30K+ | 20 | 7 | 60 | ✅ every push/PR |

> The earlier paper freeze has lifted - the real paper, with fresh results, is now planned for next
> year. `paper/results-frozen/` (tag `v1.0-paper`, commit `bbef2ba`) is kept as a reference snapshot.
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7 changes: 7 additions & 0 deletions llms.txt
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Expand Up @@ -77,3 +77,10 @@ Full text of every explainer in one file (for AI answer engines): https://www.th
- [ML Bias](https://www.thefaircode.xyz/explainers/ml-bias.html)
- [AI Objectivity Myth](https://www.thefaircode.xyz/explainers/ai-objectivity-myth.html)
- [AI Hallucinations](https://www.thefaircode.xyz/explainers/ai-hallucinations.html)
- [Fairness-Accuracy Trade-off](https://www.thefaircode.xyz/explainers/fairness-accuracy-tradeoff.html)
- [Treatment Equality](https://www.thefaircode.xyz/explainers/treatment-equality.html)
- [Multiple-Comparisons Correction](https://www.thefaircode.xyz/explainers/multiple-comparisons.html)
- [Simpson's Paradox](https://www.thefaircode.xyz/explainers/simpsons-paradox.html)
- [Conditional Demographic Parity](https://www.thefaircode.xyz/explainers/conditional-demographic-parity.html)
- [Subgroup Fairness](https://www.thefaircode.xyz/explainers/subgroup-fairness.html)
- [Differential Privacy](https://www.thefaircode.xyz/explainers/differential-privacy.html)