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README.md

@@ -11,6 +11,8 @@ tags:
 # ResCapsGuard
 
 [![EER% 1.86 on ASVspoof2019_LA](https://img.shields.io/badge/EER%25%20on%20ASVspoof2019__LA-1.86%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
+[![EER% 54.55 on CD-ADD](https://img.shields.io/badge/EER%25%20on%20CD--ADD-54.55%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
+[![EER% 55.92 on InTheWild](https://img.shields.io/badge/EER%25%20on%20InTheWild-55.92%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 [![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 [![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 
@@ -65,11 +67,15 @@ crop), so the numbers are exactly reproducible from the pinned score file.
 | Dataset | Split | EER % | Trials | Skipped | Notes |
 |---|---|---|---|---|---|
 | ASVspoof2019_LA | test | **1.86** | 71,237 | 0 | in-domain (training data) |
+| CD-ADD | test | **54.55** | 20,786 | 0 | out-of-domain (modern neural-TTS); does not generalize |
+| InTheWild | test | **55.92** | 31,779 | 0 | out-of-domain (real-world deepfakes); does not generalize |
 
 The ASVspoof2019_LA result reproduces near the paper's reported 2.25 % on the LA eval
 set; the deterministic window (vs. the paper's random crop) accounts for the small
-difference. Cross-dataset rows (ASVspoof2021_DF/LA, CD-ADD, InTheWild) are added as
-their submissions are merged.
+difference. As with its Res2TCNGuard sibling, the model trained only on ASVspoof2019 LA
+does not generalize to out-of-domain sets (CD-ADD, InTheWild). The remaining
+cross-dataset rows (ASVspoof2021_DF, ASVspoof2021_LA) are added as their submissions
+are merged.
 
 ## Usage