DotCheck

This organization publishes the open side of DotCheck’s production detectors: Apache-2.0 open weights (.npz heads on frozen upstream backbones), model cards, and the held-out numbers used in product docs.

Each card states encoding, architecture, fit data, and a Layer A / holdout table at threshold 0.5. Scores are estimates of (P(\mathrm{AI})) under that model, not authorship verdicts.

Hub id	Wire	Backbone / stack	Artifact
vermeer-image-v14_2	inhouse@14	Still pair stack (transport + center crop)	siglip2_base_patch16_224_linear_head_v14_2.npz
valla-text-v11	inhouse-text@11 (+ lang heads)	TMR + Fakespot + logistic heads	text_stack_head_v11.npz + lang
muybridge-video-v4_4	inhouse-video@4	Pair stack + stamp-cap max	siglip2_base_patch16_224_linear_head_v4_4.npz
helmholtz-audio-v3	inhouse-audio@3	Dasheng-Base + logistic head	dasheng_base_linear_head_audio_h3e.npz

• Collection: DotCheck Engines
• About: DotCheck/dotcheck
• Inventory: REGISTRY.md in this about repo / hub/REGISTRY.md in source

Product

Everyday scoring is the DotCheck product, not a Hub demo:

• Site: https://dotcheck.ai
• Guest Check: https://dotcheck.ai/check
• Pro API: https://dotcheck.ai/api (Authorization: Bearer dc_…)
• Method and gates: https://dotcheck.ai/docs · https://dotcheck.ai/how

Open weights and cards live here. Clip assembly that joins video frames with audio (Covenant) stays in the product path.

Holdout claims (SSOT)

Measured holdout floats live in product Data.json / MODEL-CHOICE.md (image bal 0.9924, EN text bal 0.986, video stamp-cap bal 0.9859, audio bal 0.995). Do not cite stale bake-off YAML.