Synthetic detection silhouettes for marks that are measured but NOT registered: none of these separates its positives from clean negatives yet, so shipping them would attribute and fill corners on content that carries no mark (a false fill is the worse error). Assets are regenerated by scripts/render_vendor_silhouettes.py; a candidate is deleted from here on the day its mark registers (the asset moves to the package assets/).

Measurements below are local calibration snapshots. Candidate pools are provenance cohorts, not automatically visible-mark positives; comparison controls are independently selected no-signal images and are not adjudicated negatives. Each needs capture-solved alphas or vendor-accurate font work before it can ship; scripts/vendor_mark_calibrate.py is the candidate-detector harness. Rows through mindvideo_alpha.png and the parked candidates were recorded on 2026-08-27; rows from higgsfield_alpha.png through gendo_alpha.png were recorded on 2026-08-28. These are repository record dates, not inferred capture dates. The Mark column quotes the candidate raster text; where that text differs from the provider's canonical name, the provider is named separately.

Asset	Mark	Evidence	Result
`samsung_en_alpha.png`	Samsung Galaxy AI label, English locale ("AI-generated content", bottom-left)	5 corpus files	POS 0.11-0.30 vs NEG max 0.40 (binary); tophat/gray tried, no separation. The registered Italian engine scores 0.18-0.31 on the same files -- same layout class, wrong glyph template.
`gemini_text_alpha.png`	"Generated with Gemini" text label (bottom-right; the registered gemini mark is the sparkle icon)	3 corpus files	POS 0.07-0.22 vs NEG max 0.32; coverage gate finds the blob (0.29-0.35) but the Arial silhouette misses Google's letterforms.
`notebooklm_alpha.png`	NotebookLM wordmark (bottom-right)	12 corpus files	locate geometry not yet fitted; POS max 0.12.
`dola_alpha.png`	DolaAI on images (the video mark is registered)	12 corpus files	POS 0.11-0.21 vs NEG max 0.30.
`mindvideo_alpha.png`	MindVideo.AI (top-right)	11 corpus files	POS 0.29-0.32 vs NEG max 0.30 -- borderline overlap, not shippable.
`higgsfield_alpha.png`	`HIGGSFIELD AI` wordmark (Higgsfield AI, bottom-right; the boxed `AI` variant shares the cohort)	5 wordmark files (16 in the boxed-AI OCR cluster)	POS max 0.26 vs NEG max 0.22 -- no separation; the mark may be two-part (wordmark + boxed AI) and needs a composed template.
`jianying_alpha.png`	`剪映AI` wordmark (Jianying / 剪映, the China product in the CapCut family; bottom-right)	2 corpus files	POS 0.29 vs NEG max 0.35.
`capcut_alpha.png`	CapCut AI pill (top-left; likely pill class, not plain text)	3 corpus files	POS max 0.15 vs NEG max 0.33 -- locate geometry not yet fitted for the pill form.
`zsky_alpha.png`	`MADE WITH zsky.ai` wordmark (ZSky AI, bottom-right)	2 corpus files	POS 0.10 vs NEG max 0.27.
`chromastudio_alpha.png`	`ChromaStudio.ai` wordmark (ChromaStudio, bottom-right)	2 corpus files	POS 0.11 vs NEG max 0.29.
`digenai_alpha.png`	`DIGENAI` wordmark (Digen AI, bottom-right)	3 corpus files (one 2026-07-24 batch)	POS 0.16 vs NEG max 0.31.
`gendo_alpha.png`	`GendoAI` wordmark (Gendo, bottom-left)	3 corpus files	POS 0.08 vs NEG max 0.32.
`xinghui_alpha.png`	星绘AI生成 (parked before this set)	--	prior parking, unchanged.
`qingyan_alpha.png`	清言·AI生成 (parked before this set)	--	prior parking, unchanged.
`hailuo_alpha.png`	Hailuo AI image wordmark (parked before this set; the VIDEO label is registered)	--	prior parking, unchanged.
`catlogo_alpha.png`	outline cat-head + AI生成 (parked before this set)	--	prior parking, unchanged.