Add df-arena-1b LRLspoof submission (srr_complement 0.45%)

submissions/df-arena-1b.yaml

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+schema_version: 5
+system:
+  name: DF Arena 1B
+  slug: df-arena-1b
+  description: RAPTOR universal anti-spoofing model. A wav2vec 2.0 XLS-R 1B self-supervised
+    front-end whose per-layer hidden states are combined by learnable attention pooling
+    (a layer-wise sigmoid gate over an attention-pooled summary), then passed through
+    a 4-block Conformer head with a class token to a 2-way classifier. FP32, deterministic
+    first-64600-sample (~4.04 s @ 16 kHz) window, tile-repeat if shorter (no random
+    crop, no resampling). score = softmax(logits)[bonafide]; higher = more bona fide.
+    Official Speech-Arena-2025/DF_Arena_1B_V_1 checkpoint.
+  code: https://huggingface.co/Speech-Arena-2025/DF_Arena_1B_V_1
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/DF_Arena_1B_V_1
+  params_millions: 1147.8453
+  paper:
+    arxiv_id: '2603.06164'
+    url: https://arxiv.org/abs/2603.06164
+    bibtex: "@misc{kulkarni2026compactsslbackbonesmatter,\n  title={Do Compact SSL\
+      \ Backbones Matter for Audio Deepfake Detection? A Controlled Study with RAPTOR},\n\
+      \  author={Ajinkya Kulkarni and Sandipana Dowerah and Atharva Kulkarni and Tanel\
+      \ Alumäe and Mathew Magimai Doss},\n  year={2026},\n  eprint={2603.06164},\n\
+      \  archivePrefix={arXiv},\n  primaryClass={cs.SD},\n  url={https://arxiv.org/abs/2603.06164}\n\
+      }\n"
+dataset:
+  id: lab260/LRLspoof
+  revision: 5caf11349cf96aa198527cfb040cdba585cdd49e
+  split: test
+scores:
+  srr_complement: 0.4453410562588078
+  n_trials: 1304455
+  n_skipped: 286
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: 0.7885158503954802
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/DF_Arena_1B_V_1/resolve/bfd065ae898d063928a68c027da41bd0494366e5/.eval_results/lab260/LRLspoof/scores.txt
+  scores_sha256: ed8046a0a7770001682a85a1a4ed0bd3996e1c1ba9bc167af2ccdb9f81a3640f
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-23'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: kborodin.research@gmail.com
+submitted_at: '2026-06-23'
+notes: DF Arena 1B on LRLspoof (spoof-only, srr_complement = 1-SRR, lower better).
+  TensorRT engine (parity-verified vs PyTorch). Scored 1,304,455 of 1,304,455 TTS
+  utterances; 286 source files are empty/zero-length (skipped), 172 corrupt-header
+  WAVs recovered via ffmpeg. Audio resampled per-file to 16 kHz; score = net(x)[:,1]
+  (higher = bona fide). t* = this model's own DeepVoice EER operating-point threshold
+  (DeepVoice EER 8.29%), transferred via the calibration block. Verified with reproduce
+  --scoring.