ops: DotCheck Apache-2.0 open heads + card

CITATION.cff

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+cff-version: 1.2.0
+message: "If you cite DotCheck engines or measured holdout gates, use the citation below."
+title: "DotCheck AI-likeness engines (inhouse@12, inhouse-text@11, inhouse-video@2)"
+authors:
+  - name: "DotCheck"
+url: "https://dotcheck.ai"
+repository-code: "https://huggingface.co/DotCheck"
+license: "Apache-2.0"
+date-released: "2026-07-28"
+abstract: >-
+  DotCheck serves binary AI-likeness scores for images (wire inhouse@12 /
+  Vermeer@12, adapted SigLIP2 + linear head), text (inhouse-text@11 / Valla@11,
+  seven languages), and video frame bags (inhouse-video@2 / Muybridge) using
+  linear/logistic heads on commercial-clean backbones. Live heads are
+  published under Apache-2.0 on Hugging Face; everyday product scoring runs
+  through DotCheck.
+keywords:
+  - ai-detection
+  - image-classification
+  - text-classification
+  - video
+  - siglip2
+preferred-citation:
+  type: soft
+  authors:
+    - name: "DotCheck"
+  title: "DotCheck engines (inhouse@12, inhouse-text@11, inhouse-video@2)"
+  url: "https://dotcheck.ai/docs"
+  year: 2026

LICENSE

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NOTICE

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+DotCheck NOTICE — third-party attributions
+=========================================
+
+DotCheck in-house engines use the following upstream models as frozen bases /
+backbones. Their licenses remain those of the upstream projects. DotCheck heads
+trained on top of these bases are Apache-2.0 in this package (see LICENSE).
+Upstream backbone licenses remain those of the upstream projects.
+
+1) google/siglip2-base-patch16-224
+   Used by: Vermeer + Muybridge
+   Hub: https://huggingface.co/google/siglip2-base-patch16-224
+   Typical license: Apache-2.0 (see upstream card)
+
+2) Oxidane/tmr-ai-text-detector
+   Used by: Valla
+   Hub: https://huggingface.co/Oxidane/tmr-ai-text-detector
+   Typical license: MIT (see upstream card)
+
+3) fakespot-ai/roberta-base-ai-text-detection-v1
+   Used by: Valla
+   Hub: https://huggingface.co/fakespot-ai/roberta-base-ai-text-detection-v1
+   Typical license: Apache-2.0 (see upstream card)
+
+4) mispeech/dasheng-base
+   Used by: Helmholtz
+   Hub: https://huggingface.co/mispeech/dasheng-base
+   Typical license: Apache-2.0 (see upstream card)
+
+5) hfl/chinese-macbert-base
+   Used by: Valla (zh cls_emb)
+   Hub: https://huggingface.co/hfl/chinese-macbert-base
+   Typical license: Apache-2.0 (see upstream card)
+
+DotCheck does not redistribute upstream full checkpoints via DotCheck Hub
+public model repos. Everyday product scoring runs through DotCheck services.

README.md

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+---
+language:
+  - en
+license: apache-2.0
+library_name: dotcheck
+pipeline_tag: audio-classification
+tags:
+  - audio-classification
+  - ai-detection
+  - synthetic-media
+  - dasheng
+  - apache-2.0
+  - dotcheck
+  - helmholtz
+base_model: mispeech/dasheng-base
+base_model_relation: adapter
+model-index:
+  - name: Helmholtz (inhouse-audio@3)
+    results:
+      - task:
+          type: audio-classification
+          name: binary AI detection (audio)
+        dataset:
+          name: DotCheck audio holdout (CodecFake / DFADD / AudioGen + fal family)
+          type: other
+          split: holdout
+        metrics:
+          - name: mean_P_AI_real
+            type: mean_score_real
+            value: 0.005
+          - name: mean_P_AI_ai
+            type: mean_score_ai
+            value: 0.982
+          - name: balanced_accuracy
+            type: balanced_accuracy
+            value: 0.989
+        source:
+          name: audio_gates_audio_v3 / Data.json
+          url: https://dotcheck.ai/docs
+---
+
+# DotCheck/helmholtz-audio-v3
+
+**Helmholtz** is DotCheck’s production audio detector. We train a logistic head on frozen Dasheng-Base embeddings, gate on held-out speech, music/SFX, and fal-family TTS, and publish the holdout table below.
+
+Open package: live `.npz` head, card, license, notices. In product, soundtrack windows can fuse with Muybridge frame bags (Covenant); that seating stays private. This repo is standalone audio.
+
+| Field | Value |
+|-------|--------|
+| Hub id | `DotCheck/helmholtz-audio-v3` |
+| Wire id | `inhouse-audio@3` |
+| Label | Helmholtz |
+| Artifact | `dasheng_base_linear_head_audio_v3.npz` |
+| Backbone | [`mispeech/dasheng-base`](https://huggingface.co/mispeech/dasheng-base) (Apache-2.0) |
+| Protocol | 4 s / center crop / up to 2 windows / max aggregate (serve may single-pass prewindowed clips) |
+| Output | `p ∈ [0,1]` — estimated P(AI) |
+| Serve | CPU FastAPI `/v1/analyze-audio`; Express Check + video soundtrack fuse |
+
+## Model description
+
+Frozen Dasheng-Base masked audio encoder + logistic head for speech, music, and general audio. Product Covenant seats soundtrack windows with Muybridge frame bags when a video has usable audio. Covenant is DotCheck-private; these files are the open audio head only.
+
+**In this repo:** `README.md`, `LICENSE`, `NOTICE`, `CITATION.cff`, and the `.npz` head.
+
+## Architecture
+
+```text
+audio bytes
+  → mono 16 kHz
+  → protocol window(s) (4 s)
+  → frozen Dasheng-Base emb → logistic head → p
+  → multi-window: max
+```
+
+Missing audio head at serve → `/v1/analyze-audio` returns **503** (fail closed).
+
+## Inference
+
+Open weights: the live `.npz` head (Apache-2.0) with the frozen backbone above. Not `AutoModel.from_pretrained("DotCheck/…")`.
+
+Product scoring: [Check](https://dotcheck.ai/check) or [Pro API](https://dotcheck.ai/api).
+
+```bash
+curl -sS -X POST "https://dotcheck-server-c221c1f32c68.herokuapp.com/analyze-audio" \
+  -H "Authorization: Bearer dc_YOUR_KEY" \
+  -F "audio=@clip.wav"
+```
+
+Gates: [dotcheck.ai/docs](https://dotcheck.ai/docs).
+
+## Training data
+
+| Split | Content |
+|-------|---------|
+| Fit reals | LibriTTS + FSD50K (concat, no loop-tile) |
+| Fit AI | parler-mini / melo-en / dasheng-audiogen + fal train (Kokoro / Eleven Turbo / mixes) + 22 Imagine few-shot |
+| Holdout speech | CodecFake / DFADD (sha-disjoint) |
+| Holdout music/SFX | AudioGen odd-seed partition |
+| Holdout fal | prompt-id holdout (same gens, disjoint sha) |
+
+Evidence: `audio_gates_audio_v3.json` · `AUDIO_GATES_OK`. Imagine-owned audio is a **watch**, not a public claim.
+
+## Evaluation
+
+### Holdout (public claim SSOT)
+
+| Metric | Target | Measured |
+|--------|--------|---------:|
+| mean P(AI) \| real | ≤ 0.12 | **0.005** |
+| mean P(AI) \| AI | ≥ 0.85 | **0.982** |
+| bal_acc @ thr | ≥ 0.90 | **0.989** |
+
+## Intended use
+
+- Standalone audio AI detection in DotCheck inference.
+- Soundtrack windows fused with video frames in product serve.
+- Citation of the holdout table above.
+
+### Out of scope
+
+- Product SLA via Hub download alone
+- Courtroom deepfake forensics or speaker identification
+- Legal determinations
+
+## Limitations
+
+- Protocol windows are short; long-form structure is not modeled.
+- Codec, compression, and unseen generators can shift scores.
+- Public floats are standalone audio gates; fused video bags are not a separate claim table here.
+
+## License
+
+[`LICENSE`](LICENSE) — Apache License 2.0 for DotCheck heads in this repo. Upstream: [`NOTICE`](NOTICE).
+
+## Citation
+
+[`CITATION.cff`](CITATION.cff) · wire `inhouse-audio@3` / Helmholtz@3 · https://dotcheck.ai/docs

dasheng_base_linear_head_audio_v3.npz

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