README: add arabic/cyrillic/devanagari/thai (staged ahead of wiring)

README.md

@@ -15,9 +15,17 @@ app fetches the individual files directly and verifies a pinned SHA-256 per file
 | Pack | Files | Size | Source | License |
 |------|-------|------|--------|---------|
 | `meiki-ja` | `det.mnn`, `rec_horizontal.mnn`, `rec_vertical.mnn` | 46.7 MB | Meiki OCR — D-FINE detector + horizontal/vertical recognizers (Japanese) | LGPL-3.0 |
-| `paddle-rec-cjk` | `rec.mnn`, `keys.txt` | 16.6 MB | PaddleOCR PP-OCRv5 mobile recognizer — Chinese (Simplified/Traditional) + Japanese + English | Apache-2.0 |
-| `paddle-rec-latin` | `rec.mnn`, `keys.txt` | 8.0 MB | PaddleOCR PP-OCRv5 mobile recognizer — Latin scripts (French, Spanish, German, …) | Apache-2.0 |
-| `paddle-rec-korean` | `rec.mnn`, `keys.txt` | 13.4 MB | PaddleOCR PP-OCRv5 mobile recognizer — Korean | Apache-2.0 |
+| `paddle-rec-cjk` | `rec.mnn`, `keys.txt` | 16.6 MB | PaddleOCR PP-OCRv5 — Chinese (Simplified/Traditional) + Japanese + English | Apache-2.0 |
+| `paddle-rec-latin` | `rec.mnn`, `keys.txt` | 8.0 MB | PaddleOCR PP-OCRv5 — Latin scripts (French, Spanish, German, …) | Apache-2.0 |
+| `paddle-rec-korean` | `rec.mnn`, `keys.txt` | 13.4 MB | PaddleOCR PP-OCRv5 — Korean | Apache-2.0 |
+| `paddle-rec-arabic` † | `rec.mnn`, `keys.txt` | 8.0 MB | PaddleOCR PP-OCRv5 — Arabic | Apache-2.0 |
+| `paddle-rec-cyrillic` † | `rec.mnn`, `keys.txt` | 8.0 MB | PaddleOCR PP-OCRv5 — Cyrillic (Russian, Ukrainian, …) | Apache-2.0 |
+| `paddle-rec-devanagari` † | `rec.mnn`, `keys.txt` | 7.9 MB | PaddleOCR PP-OCRv5 — Devanagari (Hindi, Marathi, …) | Apache-2.0 |
+| `paddle-rec-thai` † | `rec.mnn`, `keys.txt` | 7.9 MB | PaddleOCR PP-OCRv5 — Thai | Apache-2.0 |
+
+† Hosted ahead of in-app language wiring (support coming soon). The first four packs
+are live in the app; these four are downloadable and integrity-pinned but not yet
+mapped to a selectable source language.
 
 The shared PaddleOCR PP-OCRv5 DBNet text detector is bundled inside the app APK
 (not hosted here) and is paired with whichever recognizer pack above the source