Stop double-counting a named forensic mark as SynthID provenance

A manifest that names its own forensic soft-binding algorithm carries that vendor's mark; the generic watermark-action vendor-token inference must not add a second, differently-attributed invisible watermark from the same bytes. Microsoft Designer manifests triggered exactly that: signed by Microsoft, watermarked by InvisMark, with the generation agent named "Azure OpenAI ImageGen" - the OpenAI issuer token inside that service name plus the InvisMark watermarked action satisfied the OpenAI SynthID-evidence rule, and identify reported one forensic mark as two paid pixel watermarks. Three changes, one rule at every inference site (the verdict-scan comment's own lesson: a rule that lives in only one copy is a rule the others silently lack): - c2pa.py structured path: SynthID evidence now scopes to the signer/generator identity strings only (signature issuer, claim generator), never the raw chain, and is suppressed entirely when a soft-binding algorithm is named. - c2pa.py byte fallback and metadata.py synthid_source: suppressed when the scan names a soft-binding algorithm. - identify.py verdict scan: same suppression. Gemini and ChatGPT originals keep their provenance-asserted SynthID strings; the Designer regression is pinned by test_designer_synthid_suppression.py (agent name alone is not the vendor's provenance, and a named soft binding suppresses the inference).
Merge pull request #87 from wiltodelta/dependabot/uv/minor-and-patch-c54089dda1
2026-10-16 06:20:48 +02:00 · 2026-08-27 15:20:45 -07:00 · 2026-08-27 11:50:53 -07:00 · 2026-08-27 11:21:08 -07:00 · 2026-08-26 23:03:04 -07:00 · 2026-08-26 22:59:23 -07:00
31 changed files with 829 additions and 143 deletions
@@ -0,0 +1,89 @@
+# Content Seal oracle corpus
+
+Muse Image (`muse-image-1.0`) generations with externally verified Content Seal
+verdicts, produced through the Meta Model API on 2026-08-26 and checked against
+the public detector at `https://meta.ai/identification` (anonymous session, no
+login). Follows the `data/synthid/originals` pattern: binaries live in
+`originals/`, every derived variant is recorded in `manifest.csv` as a recipe
+plus hash and is not stored.
+
+## What this corpus establishes
+
+- The Meta Model API image endpoint (`POST /v1/images/generations`) stamps the
+  same Content Seal pixel watermark as the consumer Meta AI app: all five
+  generations verified positive with attribution "Muse Image 1 - Meta".
+- The detector response carries a per-generation ID and creation timestamp
+  embedded in the watermark payload. Both survived a 512 px LANCZOS resize and
+  a full-size JPEG q85 re-encode (same ID returned), so the payload is more
+  robust than the detection threshold.
+- Center crops lose the seal: 50% and 33% linear center crops of two different
+  images all returned "No AI signatures from Meta were found", consistent with
+  the Reuters 2026-07-11 analysis (55% missed after cropping).
+- API outputs carry XMP `iptcExt:DigitalSourceType =
+  trainedAlgorithmicMedia`, so local `identify` flags them via the existing
+  Made-with-AI path. Metadata-stripping transforms fall back to unknown, and
+  Content Seal has no local decoder in this project: the oracle is the only
+  reader.
+- Drift finding: the 512 px resize of `gen_fox_forest` triggers a
+  medium-confidence false positive "Tencent Yuanbao (visible 元宝 / AI生成
+  mark)" in this project's `identify`. Recorded here as a reproducible case.
+
+## Oracle limits and wire format
+
+There is no public or documented checking API. Verified against the official
+developer documentation on 2026-08-26 (`https://dev.meta.ai/docs/`): the full
+Meta Model API reference lists only Responses, Chat Completions, Messages,
+Files, Images (`/v1/images/generations`, `/v1/images/edits`), and Models, with
+no identification, detection, or watermark endpoint, and the image-generation,
+Muse Image cookbook, and pricing pages never mention watermark, Content Seal,
+or provenance at all. The API applies the seal (every generation in this corpus
+carries it) while documenting nothing about it. The web tool drives an internal
+REST pair, captured from the browser network log on 2026-08-26:
+
+1. `POST https://rupload.meta.ai/gen_ai_document_gen_ai_tenant/<uuid>` with the
+   raw file bytes, `x-entity-type`, `x-entity-length`, `ai_detector_upload: true`,
+   and an anonymous `authorization: OAuth ecto1:<token>` session token minted by
+   the page.
+2. `POST https://meta.ai/api/ai-detector` with `Bearer ecto1:<token>` and body
+   `{"media_id": "...", "fileName": "...", "mimeType": "..."}`.
+
+The rate limit is enforced at that endpoint, server-side, and keyed beyond the
+browser session: the API itself returns `429 {"errorType": "rate_limited"}`,
+and clearing cookies and storage changed nothing, so driving the internal pair
+directly does not bypass it. The Meta Model API (`api.meta.ai/v1`, where the
+generation key works) has no identification endpoint; plausible paths all
+return 404. Rows with an empty `oracle_verdict` were transformed but not yet
+checkable. Read a verdict only from the settled page text after the
+result-complete state ("Upload another file"): a wait for a verdict string can
+match the previous upload's text, and the fresh-navigation protocol used for
+the calibration rows below is the race-free variant.
+
+## Strength floor calibration (qwen-zimage, seed 0)
+
+The library resolves strength per vendor with measured floors (OpenAI
+0.07675 / Google 0.27 / Microsoft InvisMark 0.15 in
+`_internal/watermark_profiles.py`). Meta Content Seal has no floor yet; the
+goal of these rows is to measure one by that same methodology: independent
+generations, each one's first-clean boundary, floor = worst boundary plus the
+observed cross-source spread.
+
+Measured (2026-08-26/27, oracle `meta.ai/identification`):
+
+- Default pipeline clears Content Seal: tested samples came back clean at the
+  default resolution-adaptive strength (~0.1305 at 2.56 MP), including the
+  worst source.
+- Five independent generations bracketed. First-clean boundaries:
+  lighthouse (0.0525, 0.06], fox (0.03, 0.0375], night_city (0.03, 0.0375],
+  mug <= 0.03, text <= 0.015. Cross-source spread is wide (a factor of four
+  between easiest and hardest).
+- Derived Meta floor by the existing worst-boundary-plus-cross-source-spread
+  method: 0.06 + (0.0525 - 0.015) = 0.0975, rounded to **0.1**.
+- Shipped as `QWEN_ZIMAGE_META_STRENGTH`: auto mode routes standalone-AI-IPTC
+  files onto the cohort, and `--vendor meta` / `InvisibleOptions.vendor`
+  names it explicitly on stripped files (implying the scrub runs).
+## Regeneration
+
+API key is not stored in this repository. Regenerate with the script pattern
+from the session (env `MUSE_API_KEY`, endpoint
+`https://api.meta.ai/v1/images/generations`, model `muse-image-1.0`); prompts
+are recorded per file in `manifest.csv`.
@@ -0,0 +1,44 @@
+name,file,origin,source_url,prompt,requested_size,delivered_size,sha256,xmp_iptc_trainedAlgorithmicMedia,oracle_verdict,oracle_attribution,oracle_generation_id,oracle_created_utc,checked_at_utc,notes
+gen_fox_forest,originals/gen_fox_forest.webp,meta-model-api,,A red fox resting on a mossy log in a misty forest at dawn photorealistic shallow depth of field,1024x1024,1600x1600,6d7cecf322a5ac4b2547e2f32c767b3cb3e8a0e49f274cfd00aa31be6697eed4,yes,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbLlNjYhvPAxD,2026-08-26T19:07Z,2026-08-26T19:11Z,checked twice; ID stable across uploads
+gen_text_poster,originals/gen_text_poster.webp,meta-model-api,,A cheerful flat-design poster that says 'WATERMARK FIELD DAY 2026' in bold rounded letters over a coral and cream striped background,1024x1024,1600x1600,873927662d8198e9c38b4ae71a2919ba5d417dfcd714649db1b0ae231e8cbf9b,yes,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbJuIKXPAYxsd,2026-08-26T19:08Z,2026-08-26T19:08Z,
+gen_lighthouse_watercolor,originals/gen_lighthouse_watercolor.webp,meta-model-api,,A watercolor illustration of a lighthouse on a cliff at golden hour seagulls in the distance soft loose washes white paper texture,1024x1024,1600x1600,69bee7c376608568361085602c5c7406900885849bd94c5279c3924cf793b27c,yes,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbB5uWbAmWmwp,2026-08-26T19:08Z,2026-08-26T19:08Z,
+gen_night_city,originals/gen_night_city.webp,meta-model-api,,A night city skyline in the rain neon reflections on wet asphalt cinematic wide shot moody,1536x1024,1920x1280,345adf6b9f777b15ef7ce7bbdfb3b355a1d9e882740809e966e9f6caafd94d48,yes,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbH5uWbAmWmwp,2026-08-26T19:08Z,2026-08-26T19:08Z,
+gen_studio_mug,originals/gen_studio_mug.webp,meta-model-api,,A minimalist studio photo of a single matte ceramic mug on a pastel blue background soft shadow clean commercial look,1024x1024,1600x1600,2b7bc7fd56fa2250c66ef74f8b3e49d9666fe147d894d5baf9461b5e36077a07,yes,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbAsSozV2XCzw,2026-08-26T19:08Z,2026-08-26T19:08Z,
+fox_crop50,,derived:gen_fox_forest,,center crop 0.5 linear each side then WEBP q95,,800x800,80b91995560a7c4b08596a26b3401a29afb82691fad193502697a49785eab7be,no_stripped_by_reencode,not_detected,,,,2026-08-26T19:13Z,seal lost; PIL re-encode strips XMP
+fox_crop33,,derived:gen_fox_forest,,center crop 0.33 linear each side then WEBP q95,,528x528,3b3aded8f4fcb98d0599431abccb73b9581854ae34c6bc869724cd5c86a1e35e,no_stripped_by_reencode,not_detected,,,,2026-08-26T19:13Z,seal lost
+fox_res512,,derived:gen_fox_forest,,resize long side 512 LANCZOS then WEBP q95,,512x512,19b85f615d56f5e9f55cd97bae0ee343f4f432e6bfa0a6fc7acb07dec2cc1d81,no_stripped_by_reencode,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbLlNjYhvPAxD,2026-08-26T19:07Z,2026-08-26T19:13Z,generation ID and creation time identical to the original generation: watermark payload survives the resize
+fox_jpeg85,,derived:gen_fox_forest,,full-size JPEG q85 re-encode,,1600x1600,3bc7dc11bf3c16c83814df1e6485cdb6e49e21141511dda56d210cc920a8c5e3,no_stripped_by_reencode,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbLlNjYhvPAxD,2026-08-26T19:07Z,2026-08-26T19:13Z,payload survives JPEG recompression; local identify returns unknown (metadata stripped)
+text_crop50,,derived:gen_text_poster,,center crop 0.5 linear each side then WEBP q95,,800x800,3f0d4075012ee4fec820209c5c1c32bb739998813325f49b1124f379162f9837,no_stripped_by_reencode,not_detected,,,,2026-08-26T19:13Z,seal lost
+text_crop33,,derived:gen_text_poster,,center crop 0.33 linear each side then WEBP q95,,528x528,95cef87002961831b21f6f47cd9a0824a67e2ee6f8503356fd5db6a3fcfcc998,no_stripped_by_reencode,,,,,,daily oracle limit reached before this row could be checked
+text_res512,,derived:gen_text_poster,,resize long side 512 LANCZOS then WEBP q95,,512x512,b319727d02e908f22e59f148050e6b4686cbd1a622bd69db51fe4072a6f66b34,no_stripped_by_reencode,,,,,,daily oracle limit reached; also the fox twin of this transform triggered the Yuanbao false positive below
+text_jpeg85,,derived:gen_text_poster,,full-size JPEG q85 re-encode,,1600x1600,76f00fcde1e974549afa5d90e1879c705e3c3631ef1f35cab901fc912cd15fa4,no_stripped_by_reencode,,,,,,daily oracle limit reached before this row could be checked
+blog_qr_manhwa,,meta-blog-cdn,https://lookaside.fbsbx.com/elementpath/media/?media_id=1807972953501959&version=1783318590&transcode_extension=webp,,,1920x1280,8ee7700dff59f21d7de393a619664a0b9360f148d18df289364ecea939b3dea9,yes,detected,Muse Image 1 - Meta,,,2026-08-26T18:59Z,not stored; re-downloadable from source_url
+blog_fractal_poster,,meta-blog-cdn,https://lookaside.fbsbx.com/elementpath/media/?media_id=1499727434782014&version=1783727678&transcode_extension=webp,,,2096x992,2a96168db026444b47ac37807fd99a88c8b7fa6866e1c93a54ab427fbe581f76,no,detected,Muse Image 1 - Meta,,,2026-08-26T18:59Z,seal survived CDN transcode without any metadata
+blog_flipbook_punch,,meta-blog-cdn,https://lookaside.fbsbx.com/elementpath/media/?media_id=2521328538303639&version=1783396590&transcode_extension=webp,,,1920x1280,35f28dc2cbdf44aed190bc8efaa0fe7bfa288a2196638712dd83bc941cc294d5,yes,detected,Muse Image 1 - Meta,,,2026-08-26T19:00Z,
+blog_teen_cat,,meta-blog-cdn,https://lookaside.fbsbx.com/elementpath/media/?media_id=1325391919706734&version=1783319609&transcode_extension=webp,,,1600x1600,c2e7df000ffa6520589d8efc5f0bcbeb759175cdaa0c827189c28a64f75d3dd7,yes,detected,Muse Image 1 - Meta,,,2026-08-26T19:00Z,
+blog_hero_1,,meta-blog-cdn,https://lookaside.fbsbx.com/elementpath/media/?media_id=2140990336800598&version=1783727678,,,1344x1792,7655639acb9f826cdb864d869530153efc1e1467ff414b5a63e80aa7b39b2fb7,no,detected,Muse Image 1 - Meta,,,2026-08-26T19:00Z,seal survived CDN transcode without any metadata
+control_synth_gradient,,synthetic-local,,PIL gradient with rectangle JPEG q90; never touched any AI pipeline,,1024x768,25f29c0b993ed1a8e41060ed50de778d875a6d94847ced180aafc5a6ad429f82,no,not_detected,,,,2026-08-26T19:01Z,negative control: No AI signatures from Meta were found
+fox_nometa,,derived:gen_fox_forest,,metadata --remove only (no pixel change),,1600x1600,685d3a5c5d74e653ec7615fc7a347a0584c277fc7fb59594d388ac619ffe3985,no_stripped,detected,Muse Image 1 - Meta,AXZpZGVvc2VhbHY0X2NhX3NjbLlNjYhvPAxD,2026-08-26T19:07Z,2026-08-26T22:19Z,metadata stripping does NOT remove Content Seal; seal lives in pixels; same generation ID as original
+fox_modal_invisible,,derived:gen_fox_forest,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=default-adaptive(approx 0.1305 at 1600x1600),,1600x1600,6daa3e9b5dde5cb443d8071c5294262742f001c02b694243764a50345769d8b8,no_stripped,not_detected,,,,2026-08-26T22:21Z,current default pipeline clears Content Seal
+text_modal_invisible,,derived:gen_text_poster,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=default-adaptive(approx 0.1305 at 1600x1600),,1600x1600,8530a82fb856b0a00651076ac1ad8a7544b5d8873cac9bd5780704fbe10f53f8,no_stripped,not_detected,,,,2026-08-26T22:22Z,current default pipeline clears Content Seal
+fox_str0.06000,,derived:gen_fox_forest,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.06,,1600x1600,7b5e5ae75ca20f2a3cdfcfa7666104752d9557b08ac236db6f1548434940a1f3,no_stripped,not_detected,,,,2026-08-26T22:28Z,strength calibration ladder
+fox_str0.04500,,derived:gen_fox_forest,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.045,,1600x1600,26da15694b3096e2f1717154db213e814cdd27f2fc40e5f924db2324213cf960,no_stripped,not_detected,,,,2026-08-27T02:28Z,strength calibration ladder; re-confirmed clean at 0.045
+fox_str0.03750,,derived:gen_fox_forest,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.0375,,1600x1600,b7eb0616d10042933edf22cfc30aff4df915384828289b409f6cfa4cdf2807d4,no_stripped,not_detected,,,,2026-08-26T22:30Z,fresh-page protocol; fox first-clean boundary is in (0.03 0.0375]
+fox_str0.03000,,derived:gen_fox_forest,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.03,,1600x1600,cff80d18d9d00000f47e0f97c419a37c13a13831795768aee8727aa9516d1401,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-26T22:31Z,fresh-page protocol; seal survives 0.03
+fox_str0.02000,,derived:gen_fox_forest,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.02,,1600x1600,b19183ec60b63a5b73d3e1c723e7943584912857d51a4b5f85259c5c77da0e53,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-26T22:28Z,settled-read protocol; monotonic below the 0.03 boundary
+text_str0.03750,,derived:gen_text_poster,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.0375,,1600x1600,bacfd4eca7b13616502f74497cbe4f02ef6893918870f13f9e76fdb93b43107f,no_stripped,not_detected,,,,2026-08-26T22:33Z,fresh-page protocol
+text_str0.03000,,derived:gen_text_poster,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.03,,1600x1600,d5c6cffbf471ef8bb74ee8c0d22cc17d9da2c446b83e46c4be67e6ea4cdd09de,no_stripped,not_detected,,,,2026-08-26T22:33Z,fresh-page protocol; text first-clean boundary is at or below 0.03 - cross-source spread vs fox confirmed
+lh_str0.03750,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.0375,,1600x1600,f5169debc5fd2792399c0ea3fa88cb1d05f523d95004bec240c73db0e9aaee51,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-27T02:28Z,seal survives 0.0375 where fox is already clean
+lh_str0.03000,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.03,,1600x1600,110d2112d91dd53df5ccd1839e0e2b41c44aa1832adb0090032660e071fb1fd4,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-27T02:28Z,fresh-page protocol; lighthouse holds its seal below the fox boundary: cross-source spread is wide
+text_str0.02500,,derived:gen_text_poster,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.025,,1600x1600,f46a6c53b4f3d39fccb1d62cca82ced2e163e4424d13c98e6468a8e083c0fa54,no_stripped,not_detected,,,,2026-08-27T02:28Z,mid rung inside the clean zone
+text_str0.02000,,derived:gen_text_poster,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.02,,1600x1600,a19cbe22313e0f19768c98567ea89f2d9dc30827691fc7ec2971c52f3e7c6cc6,no_stripped,not_detected,,,,2026-08-27T02:28Z,text clean at 0.02: boundary <= 0.02 - the easiest source measured
+text_str0.01500,,derived:gen_text_poster,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.015,,1600x1600,aa3816c75e38f3ab5afc378d349caafad56f2bb6da859a5ee68fdea57ad00d73,no_stripped,not_detected,,,,2026-08-27T02:41Z,text clean at 0.015: boundary <= 0.015 - the easiest source measured
+lh_str0.02500,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.025,,1600x1600,989c4a7a804bc8420ec4d86b9445bc3a37382c1834782a7f8842f781d69b05e2,no_stripped,,,,,,below the measured detected boundary (0.03) for this source; not individually checked
+lh_str0.02000,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.02,,1600x1600,6a4a4ec94292a145e7d73e6900b8ec6d0eede17137f2b91fba7757ec0bdba5ec,no_stripped,,,,,,below the measured detected boundary (0.03) for this source; not individually checked
+nc_str0.03750,,derived:gen_night_city,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.0375,,1920x1280,46f322335f801ee54427eb39275216465f9a7cfa3d918c698e4d90a2439a0815,no_stripped,not_detected,,,,2026-08-27T02:28Z,boundary (0.03; 0.0375]
+nc_str0.03000,,derived:gen_night_city,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.03,,1920x1280,3f42632319248ad1a91ef2457c7e0b13ed17e1d2569decbbaab67c2072e9a305,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-27T02:28Z,night_city holds seal at 0.03
+mug_str0.03750,,derived:gen_studio_mug,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.0375,,1600x1600,3b6109ae7e86b8ea74ce33315e3f2a7eda1cadb724d429f0951f13c3ead34b0f,no_stripped,not_detected,,,,2026-08-27T02:28Z,upper rung for the mug bracket
+mug_str0.03000,,derived:gen_studio_mug,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.03,,1600x1600,1c24c984677e1528da83003ac40594f6e5ef1fa9351f1368b6d31a0101308583,no_stripped,not_detected,,,,2026-08-27T02:28Z,mug clean at 0.03: boundary <= 0.03
+lh_str0.05250,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.0525,,1600x1600,8912ba1ff4a26790f69224c49dd649e46835e277c375276ac9604f5339775b2a,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-27T02:41Z,bisection: lighthouse first-clean boundary bracketed to (0.0525; 0.06]
+lh_str0.04500,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.045,,1600x1600,cfdcf7bbb27c740846a1de4edffee3b25a624c2a8e1aba2362feaa25b682e3ae,no_stripped,detected,Muse Image 1 - Meta,,,2026-08-27T02:28Z,seal survives 0.045: lighthouse is the worst source measured
+lh_str0.06000,,derived:gen_lighthouse_watercolor,,modal raiw-worker qwen-zimage mode=invisible seed=0 strength=0.06,,1600x1600,4e214be00a89dc9f1f32ec39483c5e9668a1ec7f38b15e5794942479c839fcca,no_stripped,not_detected,,,,2026-08-27T02:28Z,lighthouse first-clean boundary bracketed to (0.045 0.06]
@@ -387,6 +387,23 @@ detected. Use `--force` when you know the image should be processed:
 remove-ai-watermarks invisible image.png -o clean.png --force
 ```

+### Choose a strength cohort
+
+`--vendor` selects the cohort the default strength resolves from. `auto`
+(the default) derives it from provenance: the C2PA issuer for
+OpenAI/Google/Microsoft, and the standalone AI IPTC tag for Meta Content Seal
+(Muse output carries no C2PA; the tag is a standard code, so C2PA evidence
+always wins first). An explicit value both names the cohort for stripped files
+and implies the scrub runs -- naming the cohort asserts the pixel watermark is
+present -- exactly like `--force` plus a measured floor:
+
+```bash
+remove-ai-watermarks invisible muse_output.webp -o clean.png --vendor meta
+```
+
+The same option exists on `all` and `batch`, and as
+`InvisibleOptions(vendor="meta")` in the Python API.
+
 ### Choose a pipeline

 | Pipeline | When to use it |
@@ -521,7 +521,7 @@ held by its masked ArcFace vector -- no original pixel copied.
  drift, NOT a perfect face swap. Set expectations; PuLID/InstantID are the higher-fidelity (heavier)
  paths if needed.
 - **Value scales with strength:** at low strength (OpenAI 0.10) faces barely drift, so FaceID is
-  marginal; at the higher strength a hard vendor (Google 0.30) needs, FaceID earns its keep.
+  marginal; at the higher strength then used for a hard vendor (Google 0.30), FaceID earned its keep.

 ### Build plan (staged)

@@ -111,6 +111,14 @@ For important outputs:
 Provider systems can change, so a result verified on one file, seed, or version
 is not a permanent certification.

+Meta Content Seal (Muse Image) is in the same family: no local decoder, presence
+recognizable only through the XMP `trainedAlgorithmicMedia` companion tag while
+that metadata survives, and removal verifiable only through the anonymous
+`meta.ai/identification` oracle, which rate-limits by IP per day. The oracle's
+negative is weaker than its positive: Reuters measured it missing 55% of cropped
+Muse images, so treat a negative on a cropped or heavily edited file as
+inconclusive rather than clean.
+
 ### Video SynthID removal is lossy and content-dependent

 The `video invisible` command and `remove_video_invisible` API regenerate video
@@ -177,13 +185,14 @@ path has not yet answered.
 The two profiles resolve an unset strength differently, because different things
 were measured for each.

-`qwen-zimage` reads it from image area, through the resolution-adaptive denoise
-curve. The vendor is deliberately ignored for openai/unknown content: the curve,
-not the issuer, is what was calibrated. One measured exception (0.27.2):
-Google-provenance content takes the flat `QWEN_ZIMAGE_GOOGLE_STRENGTH` 0.30 floor
- the curve's 0.154 top left a 4.33 MP fixture oracle-detected on the full
-production path (2026-08-18), while 0.30 anchors measured clean on two fixtures
-in two accounts.
+`qwen-zimage` reads unknown content from the resolution-adaptive denoise curve.
+Measured provider cohorts instead take flat operating points: OpenAI `0.07675`,
+Google `0.27`, and Microsoft InvisMark `0.15`. OpenAI and Microsoft add one full
+observed cross-source boundary spread to the worst clean source; Microsoft's three
+first-clean boundaries were `0.04125`, `0.055`, and `0.095`, giving `0.14875` before
+rounding up. Google's candidate was separately repeated across three valid sources
+and three accounts. The small corpora make these operating points, not universal
+thresholds.

 `sdxl-zimage` reads it from the C2PA issuer, on a flat ladder:

@@ -876,6 +876,11 @@ are CUDA-only. `controlnet`, `sdxl`, `qwen` and `default` were removed rather th
 kept as a CPU path, and are rejected rather than aliased onward. There is no
 content-dependent automatic router.

+`qwen-zimage` normally resolves global denoise from image area for unknown content.
+Measured provider cohorts bypass that curve with flat operating points. The values,
+measurement derivations, and corpus limits are canonical in
+[`known-limitations.md`](known-limitations.md#strength-is-content-and-seed-dependent).
+
 For serverless cold starts, `InvisibleEngine.preload(global_only=True)` loads the
 mandatory global stage and YuNet while leaving the optional Z-Image and SAM face
 stack lazy until a face is detected. The default `preload()` still loads every
@@ -1144,6 +1149,44 @@ sizes the curve's own values verify clean, which is what a resolution-scaled
 requirement would predict. There is no measured size at which the shipped curve fails,
 so it is left alone.

+### Meta Content Seal boundaries for qwen-zimage
+
+Measured 2026-08-26 against the anonymous oracle `meta.ai/identification`
+(verdicts read from the settled page text; corpus and full row-level provenance in
+`data/contentseal/manifest.csv`). Muse Image carries no C2PA, so
+`vendor_for_strength` returns None for it and these images ride the default
+resolution-adaptive curve; there is deliberately no `meta` entry in the flat vendor
+map, because no provenance signal can establish that cohort automatically and an
+unreachable constant would be dead code.
+
+| source (2.56 MP generation) | detected at | clean from |
+|---|---|---|
+| gen_lighthouse_watercolor | 0.0525 | 0.06 |
+| gen_fox_forest | 0.03 | 0.0375 |
+| gen_night_city | 0.03 | 0.0375 |
+| gen_studio_mug | -- | 0.03 |
+| gen_text_poster | -- | 0.015 |
+
+Full spread: worst first-clean boundary (0.0525, 0.06] on lighthouse, easiest
+source already clean at 0.015. Following the same derivation as the OpenAI and
+Microsoft floors (worst clean boundary plus one full observed cross-source
+spread): 0.06 + (0.0525 - 0.015) = 0.0975, rounded up to **0.1**. Shipped as
+`QWEN_ZIMAGE_META_STRENGTH` with two routing paths: auto mode routes a file
+whose only provenance is the standalone AI IPTC tag onto the cohort
+(`vendor_for_strength` checks C2PA issuers first, so Google/OpenAI/Microsoft
+evidence always wins, and the tag's other users ship no invisible watermark
+this profile targets), and `--vendor meta` / `InvisibleOptions.vendor` names the
+cohort explicitly on stripped files, implying the scrub runs (naming the cohort
+asserts the watermark is present). sdxl-zimage has no measured Meta rung and an
+explicit meta vendor there falls to the conservative unknown 0.25. The default
+resolution-adaptive curve (~0.1305 at 2.56 MP) also clears every measured
+source, so default behavior needed no change. Oracle verdicts carry a
+generation ID and creation timestamp embedded in the watermark payload; both
+survived the 512 px resize and JPEG q85 rows, so payload recovery outlives the
+detection threshold. Oracle session limits are per-IP, server-side, and
+sliding-window: clearing cookies and storage does not reset them, and a burst
+exhausts the window minutes after it reopens.
+
 ### Static prompt embeddings

 Both stages prompt with module constants, and at CFG 1.0 DiffSynth's
@@ -112,6 +112,18 @@ raiw.remove_all(
 )
 ```

+`vendor="meta"` names a strength cohort explicitly (the measured Content Seal
+floor) for a stripped file whose provenance no longer carries the AI IPTC tag,
+and implies the scrub runs:
+
+```python
+raiw.remove_all(
+    "muse_output.webp",
+    "clean.png",
+    invisible=InvisibleOptions(vendor="meta"),
+)
+```
+
 `InvisibleOptions` carries only what `InvisibleEngine` itself takes, and uses the
 engine's own parameter names and defaults. `force`, which decides whether the
 engine runs at all, is a parameter of `remove_all` and `remove_batch` alongside
@@ -152,7 +152,42 @@ inspection cannot independently verify the output. Microsoft's official
 [Content Provenance Detection API](https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection)
 is the external oracle: it reports pixel `Watermark` and embedded `C2PA` results
 separately; a control-positive, output-negative pair is the available per-file
-verification path.
+verification path. The API needs Azure credentials; the page a human can check
+without an account is <https://ai.azure.com/nextgen/validate>. Its verdict is
+weaker than the API's: it collapses watermark and C2PA into one rendered result
+and tops out at `Inconclusive` rather than a watermark-negative, so treat
+`Inconclusive` on a processed file as "not confirmed", not as "detected still".
+
+Meta Muse Image stamps every output with Content Seal, a proprietary invisible
+pixel watermark, and ships no visible mark (the legacy `Imagined with AI`
+corner mark belongs to the pre-2026 Imagine pipeline and is not registered).
+This project has no local Content Seal decoder. Meta Model API outputs and
+Meta CDN copies carry an XMP `iptcExt:DigitalSourceType =
+trainedAlgorithmicMedia` companion tag, which `identify` reports through the
+existing Made-with-AI path; that IPTC code is a standard, not a Meta-exclusive
+signal, so it cannot key a strength cohort the way the C2PA issuer does. The
+external oracle is `https://meta.ai/identification`: anonymous, no login,
+accepts image, video, and audio, enforces an unspecified daily identification
+limit, and answers with model attribution (`Muse Image 1 - Meta`) plus a
+per-generation ID and creation timestamp read from the watermark payload. No
+identification endpoint exists in the Meta Model API itself (the reference at
+dev.meta.ai documents only generation and edits for images), and the official
+documentation never mentions the seal. The
+default `qwen-zimage` profile clears Content Seal at the default
+resolution-adaptive strength (oracle-verified on 2.56 MP generations); measured
+strength boundaries are recorded in `data/contentseal/manifest.csv` and
+[module internals](module-internals.md#meta-content-seal-boundaries-for-qwen-zimage).
+The derived Meta floor (0.1 by the standard spread method) ships as a measured
+cohort: auto mode routes a file whose only provenance is the standalone AI IPTC
+tag to it (the tag is not Meta-exclusive; other tag users ship no invisible
+watermark this profile targets, and Google/OpenAI/Microsoft C2PA evidence
+always wins first), and `invisible --vendor meta` (also `all` and `batch`, and
+`InvisibleOptions.vendor` in the API) names the cohort explicitly on stripped
+files. An explicit vendor implies the scrub runs: naming the cohort asserts the
+pixel watermark is present.
+The seal survives resizing, JPEG recompression, and metadata stripping; it dies
+to center crops of a third to a half, matching the Reuters 2026-07-11 finding
+that Meta's detector missed 55% of cropped Muse images.

 For MP4, MOV, and M4V, `video invisible` or the explicit
 `video all --invisible` option can regenerate the video through a VAE and strip
@@ -174,6 +209,7 @@ not a universal clean verdict.
 | Google Gemini | Sparkle | Diffusion regeneration for SynthID | C2PA and related source signals |
 | Google Veo video | Veo diamond and legacy text | Oracle-certified VAE removal for SynthID | C2PA and related source signals |
 | OpenAI image generators | None registered | Diffusion regeneration for supported invisible signals | C2PA and generator provenance |
+| Meta Muse Image | None on Muse output (legacy `Imagined with AI` unregistered) | Diffusion regeneration for Content Seal, oracle-verified on the default profile | XMP IPTC `trainedAlgorithmicMedia` companion tag; no local Content Seal decoder |
 | Microsoft Paint and Photos | None registered | External Microsoft oracle for InvisMark; no validated local decoder | Paint C2PA soft-binding algorithm and identifier |
 | Stable Diffusion and SDXL | None registered | Diffusion regeneration; optional open decoder | Embedded parameters and text metadata |
 | FLUX | None registered | Diffusion regeneration; optional open decoder | C2PA for supported sources |
@@ -537,8 +537,8 @@ study (section 2.2) gives empirical floors:
 > were removed, and `OPENAI_STRENGTH` / `GEMINI_STRENGTH` / `UNKNOWN_STRENGTH` went
 > with them. Everything from here to the end of this section is a record of what was
 > measured on those profiles, kept because the oracle verdicts are still the evidence
-> base. For the strength policy in force now see `module-internals.md`: `qwen-zimage`
-> uses `resolution_adaptive_denoise`, `sdxl-zimage` a flat vendor ladder.
+> base. For the strength policy in force now see
+> [`known-limitations.md`](known-limitations.md#strength-is-content-and-seed-dependent).

 The default was **vendor-adaptive** (`watermark_profiles.resolve_strength` +
 `vendor_for_strength`): the tool read the C2PA issuer on the original input and picked
@@ -691,9 +691,9 @@ solid at 0.10 but at 0.15 it is near-threshold noise; (2) for reliable removal p
 a strength with MARGIN above the borderline (controlnet >= 0.20), not exactly on
 it; (3) **historical engineering conclusion:** this dated run argued for a
 higher ControlNet strength than the then-current default. That proposal was
-later superseded. The current resolver intentionally shares the 0.10/0.15
-ladder between SDXL and ControlNet and uses a separate Qwen ladder; see
-`_internal/watermark_profiles.py`.
+later superseded. The resolver of that period shared the 0.10/0.15 ladder between
+SDXL and ControlNet; the current policies are recorded in
+[`known-limitations.md`](known-limitations.md#strength-is-content-and-seed-dependent).
 Source images are private (faces / product shots), not committed; reproduce on any
 photoreal + flat-graphic gpt-image pair, varying the seed, and re-checking the
 oracle.
@@ -770,14 +770,14 @@ reproducible verification requires a fixed seed.
   Watermarking.** arXiv:2505.21620.
   https://arxiv.org/abs/2505.21620

-**Google floor on qwen-zimage (0.27.2, 2026-08-19).** The bracket above did not
+**Google floor on qwen-zimage (0.27.2, remeasured 2026-08-25).** The bracket above did not
 survive the full production path: on the 4.33 MP CJK-sign fixture (visible-stage
 sparkle removal -> qwen-zimage seed 0 at the curve's 0.154 top -> resize-back ->
 metadata strip), the Gemini verifier detected SynthID x3 with a valid
 pixel-identical stripped control in the same session. Google-provenance content
-now takes a flat `QWEN_ZIMAGE_GOOGLE_STRENGTH = 0.30` floor instead of the area
-curve - 0.30 anchors measured clean in Gemini on two fixtures (CJK sign +
-18-face) at 3/3 checks across two work accounts, and stayed clean with the
-vae-glyphs donor layer on top; openai/unknown content keeps the resolution
-curve. An explicit strength still wins. Certification artifacts: raiw-app
+initially took a flat `0.30` floor instead of the area curve. The later provider
+remeasurement established a common pass at `0.25` across three valid sources and
+separately repeated `QWEN_ZIMAGE_GOOGLE_STRENGTH = 0.27` across those sources and
+three accounts. OpenAI now has its own measured flat operating point; unknown
+content keeps the resolution curve. An explicit strength still wins. Certification artifacts: raiw-app
 `data/certification/text-restoration-2026-08-18/` (the failing re-baseline).
@@ -20,8 +20,8 @@ filter applied to every candidate below.
 ## Problem recap

 The `invisible` pipeline is SDXL base 1.0 img2img to defeat SynthID. The default
-strength has risen over time as Google hardens SynthID (0.05 -> 0.10 -> **~0.30**, the
-current threshold for fresh Gemini output); higher strength deforms text more, which is
+strength rose over time as Google hardened SynthID (0.05 -> 0.10 -> **~0.30** in
+this experiment; the later measured operating point is 0.27); higher strength deforms text more, which is
 exactly why text protection matters. Text is protected via Differential Diffusion with a
 per-pixel change map (`preserve` ~0.9) driven by the PP-OCRv3 DB detector
 (`text_protector.py`). Large text survives; **small text (sub ~8 px strokes) softens or
@@ -66,7 +66,7 @@ payloads. Removal remuxes either container through ffmpeg with stream copy.
  encoder and the carrier remains decodable.
 - **Invisible but NOT locally detectable (proprietary, API/oracle only — same wall as SynthID):** Amazon Titan Image Generator + Nova Canvas (Bedrock `DetectGeneratedContent` API), Kakao (new SynthID image adopter, May 2026), NVIDIA Cosmos (SynthID video). No local detector possible; treat like SynthID.
 - **C2PA 2.4 "Durable Content Credentials" (April 2026; verified against the spec) raise the bar for metadata stripping.** 2.4 defines soft bindings (an invisible watermark or a content fingerprint) plus a server-side manifest repository and a new `c2pa.repository-receipt` assertion. Per the spec: "if a C2PA manifest is removed from an asset, but a copy of that manifest remains in a provenance store elsewhere, the manifest and asset may be matched using available soft bindings." So our local `metadata --remove` deletes the *embedded* manifest, but a fingerprint/watermark soft binding can still re-link the image to its manifest in a repository server-side. Stripping the file is becoming necessary-but-not-sufficient against durable provenance. (Our parsers target the stable embedded-manifest format documented in C2PA 2.1 §11; that format is unchanged in 2.4 -- the new pieces are repository/soft-binding infra, not the on-file box layout, so no parser change is implied.) Spec: https://spec.c2pa.org/specifications/specifications/2.4/specs/C2PA_Specification.html We now READ the soft-binding `alg` (`C2PA_SOFT_BINDINGS` / `soft_binding_vendors_in`) to name the forensic-watermark vendor, preserve the structured assertion's signed `value`, and locally DECODE the one open scheme, Adobe TrustMark (`trustmark_detector`); the rest stay name-only unless a compatible decoder is independently verified.
- **Microsoft Paint and Photos InvisMark (reverse-engineered 2026-08-20):** Paint receives a per-generation GUID from remote prompt moderation, embeds it into locally generated pixels, and records the same value in `c2pa.soft-binding` under `com.microsoft.invismark.1`. The C2PA soft-binding registry independently identifies that algorithm as Microsoft Responsible AI InvisMark for image and video. Paint's 144-bit writer framing does not match the public repository's 100-bit pretrained checkpoint interface, so compatibility is not assumed. The parser reports the signed identifier; there is no validated local pixel decoder. Microsoft's external Content Provenance Detection API is the removal oracle because it reports `Watermark` separately from `C2PA`; a metadata-stripped, pixel-identical control must remain watermark-positive before an output-negative result is attributed to pixel removal. Sources: https://xusheng.dev/posts/reversing/mspaint_invisible_watermark/main/, https://github.com/c2pa-org/softbinding-algorithm-list/blob/main/softbinding-algorithm-list.json, and https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection
+- **Microsoft Paint and Photos InvisMark (reverse-engineered 2026-08-20):** Paint receives a per-generation GUID from remote prompt moderation, embeds it into locally generated pixels, and records the same value in `c2pa.soft-binding` under `com.microsoft.invismark.1`. The C2PA soft-binding registry independently identifies that algorithm as Microsoft Responsible AI InvisMark for image and video. Paint's 144-bit writer framing does not match the public repository's 100-bit pretrained checkpoint interface, so compatibility is not assumed. The parser reports the signed identifier; there is no validated local pixel decoder. Microsoft's external Content Provenance Detection API is the removal oracle because it reports `Watermark` separately from `C2PA`; a metadata-stripped, pixel-identical control must remain watermark-positive before an output-negative result is attributed to pixel removal. The no-account web page for the same check is <https://ai.azure.com/nextgen/validate> (its `Inconclusive` verdict is weaker than the API's separate watermark result). Sources: https://xusheng.dev/posts/reversing/mspaint_invisible_watermark/main/, https://github.com/c2pa-org/softbinding-algorithm-list/blob/main/softbinding-algorithm-list.json, and https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection
 - **Built in the dated batch:** soft-binding vendor detection, IPTC Photo
  Metadata AI-disclosure fields, C2PA detection and stripping for supported
  ISOBMFF video, the optional Adobe TrustMark decoder, and temporally stabilized
@@ -133,7 +133,7 @@ auditable detection boundary than the provider-specific synthetic path here.

 **The faint-visible-mark precision/recall wall is fundamental, not a heuristic artifact.** The visible-watermark-detection literature has moved to LEARNED segmentation / object-detection (WDNet WACV'21 arXiv:2012.07616; SLBR ACM MM'21, open code+weights; the PRCV'18 large-scale detector; Su et al. survey 2025), but three verified findings bound what a learned detector actually buys: (1) a claim that a confidence threshold "cleanly separates" true from false matches even with a learned CNN front-end was **REFUTED** in verification (arXiv:1705.08593) -- the precision/recall wall persists even with learned features. (2) Learned detectors need a LARGE, pattern-diverse labeled dataset trained on synthetic composites (PRCV'18: 60k images / 80 watermark classes; CLWD: 60k / 160 marks), and off-distribution degradation is a documented real axis (models trained on limited-pattern LVW transfer worse; diversity of training patterns drives generalization). (3) Inference is cheap (WDNet ~8 ms at 256x256) -- the cost is the data pipeline, not runtime. Net: a learned detector shifts the frontier but does NOT remove the wall; for a SINGLE mark the cheapest next step is a small patch classifier (real-sparkle vs false-positive) on top of the existing NCC localizer, not a full segmentation model. SLBR is a ready baseline. The current NCC + false-positive gate (core-ring brightness margin + gradient-NCC crispness + white-core saturation) is a sound operating point, and the residual miss is the information-theoretic wall the literature confirms.

-**Visible-mark landscape beyond the registry.** Meta stamps a visible "Imagined with AI" mark (bottom-LEFT, a small symbol) on its OWN Meta AI / "Imagine" output; for third-party images it relies on C2PA / IPTC, not a visible mark. Samsung Galaxy AI additionally uses a **four-star icon** variant in a corner alongside the localized text wordmark `samsung_engine` calibrates (only the Italian text variant is covered) -- the icon is a distinct, uncovered variant. Every source agrees visible + metadata marks are trivially removable (crop / screenshot, ~2 s), which is the tool's premise.
+**Visible-mark landscape beyond the registry.** Since Muse Image (2026-07) Meta's own generation output carries NO visible mark, only the invisible proprietary Content Seal; the legacy visible "Imagined with AI" mark (bottom-LEFT, a small symbol) belongs to the pre-2026 Meta AI / "Imagine" pipeline and remains unregistered (string verified, position not). For third-party images Meta relies on C2PA / IPTC, not a visible mark. Samsung Galaxy AI additionally uses a **four-star icon** variant in a corner alongside the localized text wordmark `samsung_engine` calibrates (only the Italian text variant is covered) -- the icon is a distinct, uncovered variant. Every source agrees visible + metadata marks are trivially removable (crop / screenshot, ~2 s), which is the tool's premise.

 **Regulatory driver -- China GB 45438-2025 is the strongest VISIBLE-mark mandate.** The CAC / TC260 "Measures for Labeling AI-Generated Synthesized Content" (issued March 2025, **effective 2025-09-01**, technical standard **GB 45438-2025**, building on the TC260 Aug-2023 practice guide) MANDATE a **visible** label for AI images -- a visible textual mark whose height must be **>= 5% of the image's shortest side** -- plus the metadata (implicit) label. Several such CJK text marks are now registered; see [supported signals](supported-signals.md) for the current list. By contrast EU AI Act Article 50 mandates only the MACHINE-READABLE mark (enforceable 2026-08-02, grace to 2026-12-02); a visible label is proposed and modality-specific (visible for images) but is NOT a hard "fixed icon" mandate -- a claim that Art 50 requires a clearly-visible fixed icon for images was refuted in verification. Primary-source dates verified against the article/standard text, not search summaries.

@@ -161,7 +161,9 @@ Two consequences we can exploit: (1) the 5% floor is a **scale prior** -- a comp

 **Tencent Yuanbao: RESOLVED 2026-07-25, registered (`yuanbao_engine.py`).** The standard mark is a compact two-line italic `元宝` over `AI生成` block at bottom-right. It switches between light and dark strokes with the scene, so detection uses polarity-independent local contrast rather than a white top-hat. The separate one-line overlay variant remains evidence-limited to one example.

-**Meta `Imagined with AI` (string VERIFIED (a) from Meta's own newsroom; POSITION NOT VERIFIED).** Sources conflict on placement. Do not encode a corner without a verified sample. `identify` reads the supported IPTC disclosure; it does not decode Meta's proprietary invisible watermark. Source: `https://about.fb.com/news/2024/02/labeling-ai-generated-images-on-facebook-instagram-and-threads/`.
+**Meta Muse Image / Content Seal: current state VERIFIED 2026-08-26 against live artifacts.** Muse Image (launched 2026-07-07, first image model from Meta Superintelligence Labs) puts no visible mark on output. Every output carries Content Seal, a proprietary invisible pixel watermark; research lineage is open (`github.com/facebookresearch/content-seal`, Pixel Seal / VideoSeal / Watermark Anything), but the deployed implementation is proprietary and unpublished. API outputs and Meta CDN copies also carry XMP `iptcExt:DigitalSourceType = trainedAlgorithmicMedia` (a standard IPTC code, not Meta-exclusive). The only reader is the anonymous web oracle `meta.ai/identification`, which returns model attribution plus a per-generation ID and timestamp embedded in the payload. Verified robustness (our corpus, `data/contentseal/`): seal survives CDN WebP transcode, 512 px resize, JPEG q85, and full metadata stripping; it is lost to center crops of 33-50% linear size (Reuters measured 55% detector misses on cropped images, 2026-07-11). Removal is fully supported and oracle-verified on the default profile, with a measured Meta strength floor (0.1) shipped behind auto IPTC routing and an explicit `--vendor meta` override; see [supported signals](supported-signals.md) and [module internals](module-internals.md). Legacy paragraph retained below.
+
+**Meta `Imagined with AI` (string VERIFIED (a) from Meta's own newsroom; POSITION NOT VERIFIED).** Sources conflict on placement. Do not encode a corner without a verified sample. A dedicated 2026-08-27 sample hunt failed to obtain one: the Feb-2024 newsroom images are UI mockups whose photos carry no in-pixel mark; community posts (Threads `C8_rS_MuEId` titled "lower left corner", a Facebook share) corroborate bottom-LEFT verbally but their files defeat pixel verification; press screenshots predate the mark (Dec 2023); `imagine.meta.com` is dead (redirects to meta.ai) and its Wayback captures are broken SPA error pages. The mark's generator no longer exists (Muse output has no visible mark), so no fresh sample can be made. Removal stays on the generic `erase --region` path until a legacy capture surfaces. Source: `https://about.fb.com/news/2024/02/labeling-ai-generated-images-on-facebook-instagram-and-threads/`.

 **Samsung English/other locales: still not established.** Samsung's own support page says only that "A Galaxy AI watermark will appear on AI-generated images" -- no string, no corner. Every community thread carrying the exact English string returned HTTP 403 to WebFetch, so the search paraphrase (bottom-left) is deliberately NOT recorded as fact. Feature-tier detail (b): the mark is applied by Generative Edit / sketch-to-image but reportedly NOT by Object Eraser, so Samsung absence is feature-dependent. The four-star icon variant: nothing found.

@@ -4,7 +4,7 @@
 # on it, including the ComfyUI node package. The console script below carries
 # the same weight, since users have it on PATH.
 name = "remove-ai-watermarks"
-version = "0.31.0"
+version = "0.32.1"
 description = "AI watermark remover for visible, invisible, and provenance marks in images and video"
 readme = "README.md"
 requires-python = ">=3.11,<3.15"
@@ -32,7 +32,7 @@ _os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")
 _warnings.filterwarnings("ignore", message=r".*ImageProcessorFast.*")


-__version__ = "0.31.0"
+__version__ = "0.32.1"

 __all__ = [
    "BatchSummary",
@@ -426,6 +426,11 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
    source_types: list[str] = []
    soft_binding_algorithms: list[str] = []
    soft_binding_values: list[str] = []
+    # Raw signer/generator identity strings, used to scope SynthID evidence to
+    # the vendor that actually asserted the manifest. A vendor token appearing
+    # anywhere else in the chain (e.g. Microsoft Designer's "Azure OpenAI
+    # ImageGen" softwareAgent) is a service name, not that vendor's provenance.
+    identity_strings: list[str] = []
    claim_generator_asserts_ai = False

    def add_tool_matches(value: str, *, asserts_ai: bool = False) -> None:
@@ -443,9 +448,11 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
                value = signature.get(key)
                if isinstance(value, str):
                    issuers.extend(_ordered_matches(value.encode(), C2PA_ISSUERS))
+                    identity_strings.append(value)

        direct_generator = manifest.get("claim_generator")
        if isinstance(direct_generator, str):
+            identity_strings.append(direct_generator)
            add_tool_matches(direct_generator, asserts_ai=True)

        candidates = manifest.get("claim_generator_info")
@@ -456,6 +463,7 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
                name = cast("dict[object, object]", candidate_value).get("name")
                if isinstance(name, str):
                    add_tool_matches(name, asserts_ai=True)
+                    identity_strings.append(name)

        assertions = manifest.get("assertions")
        if not isinstance(assertions, list):
@@ -528,9 +536,14 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
    has_watermark_action = any(action.startswith("watermarked") for action in actions)
    if has_watermark_action:
        info["watermarked"] = True
-    if info.get("ai_source_kind"):
-        selected_bytes = json.dumps(chain, ensure_ascii=False).encode()
-        synthid = synthid_evidence_vendors_in(selected_bytes, has_watermark_action=has_watermark_action)
+    if info.get("ai_source_kind") and not soft_binding_algorithms:
+        # Evidence scope: only the signer/generator identity strings above, never
+        # the whole chain - a vendor named inside another vendor's manifest (the
+        # Designer case) must not turn into that vendor's SynthID provenance. A
+        # manifest that names its own forensic soft-binding algorithm carries
+        # that vendor's mark and is excluded from the generic inference entirely.
+        identity_bytes = json.dumps(identity_strings, ensure_ascii=False).encode()
+        synthid = synthid_evidence_vendors_in(identity_bytes, has_watermark_action=has_watermark_action)
        if synthid:
            info["synthid_vendors"] = synthid
            info["synthid_watermark"] = synthid_verdict(", ".join(synthid))
@@ -611,7 +624,11 @@ def _populate_registry_fields(buffer: bytes, info: dict[str, Any]) -> bool:

    if b"c2pa.watermarked" in buffer:
        info["watermarked"] = True
-    synthid = synthid_evidence_vendors_in(buffer, has_watermark_action=info.get("watermarked", False))
+    synthid = (
+        []
+        if soft_binding_vendors_in(buffer)
+        else synthid_evidence_vendors_in(buffer, has_watermark_action=info.get("watermarked", False))
+    )
    if ai_source and synthid:
        info["synthid_vendors"] = synthid
        info["synthid_watermark"] = synthid_verdict(", ".join(synthid))
@@ -69,17 +69,50 @@ SDXL_ZIMAGE_OPENAI_STRENGTH = 0.15
 SDXL_ZIMAGE_GEMINI_STRENGTH = 0.25
 SDXL_ZIMAGE_UNKNOWN_STRENGTH = SDXL_ZIMAGE_GEMINI_STRENGTH

-# qwen-zimage keeps its resolution curve for openai/unknown content, but Google
-# content takes this flat oracle-measured floor instead of the curve (whose top,
-# 0.154, left a 4.33 MP CJK-sign fixture detected x3 on the full production path
-# with a valid pixel control, 2026-08-18). 0.30 anchors measured clean in Gemini
-# across two fixtures and two work accounts (CJK sign + 18-face, 3/3 checks each,
-# 2026-08 research) and stayed clean under the vae-glyphs donor layer on top.
-QWEN_ZIMAGE_GOOGLE_STRENGTH = 0.30
+# qwen-zimage keeps its resolution curve for unknown content, but measured vendor
+# cohorts bypass it. Google remained detectable through 0.24375; 0.25 cleared all
+# three valid sources and 0.27 was separately repeated clean across them and three
+# accounts, so the independently checked 0.27 candidate is the operating floor.
+QWEN_ZIMAGE_GOOGLE_STRENGTH = 0.27
+
+# The two OpenAI sources first cleared at 0.06225 and 0.0695. Add one full observed
+# cross-source spread (0.00725) to the worst clean boundary: 0.0695 + 0.00725.
+QWEN_ZIMAGE_OPENAI_STRENGTH = 0.07675
+
+# Microsoft's public detector (https://ai.azure.com/nextgen/validate) returned
+# Inconclusive rather than an API-level watermark-negative verdict. Three valid
+# Paint sources first cleared at 0.04125,
+# 0.055, and 0.095. Add one full observed cross-source spread to the worst clean
+# boundary: 0.095 + (0.095 - 0.04125) = 0.14875, rounded up to 0.15. This is a
+# measured corpus margin, not a universal InvisMark threshold.
+QWEN_ZIMAGE_MICROSOFT_STRENGTH = 0.15
+
+# Meta Muse Image stamps every output with Content Seal, but no provenance signal
+# survives to route it: the outputs carry no C2PA, and their IPTC
+# trainedAlgorithmicMedia companion tag is a standard code many platforms use, so
+# it cannot key this cohort the way an issuer keys the others. The floor is
+# therefore selected by an explicit --vendor meta override, never by detection.
+# Derivation (oracle meta.ai/identification, 2026-08-26/27, corpus in
+# data/contentseal/): five independent 2.56 MP generations bracketed at
+# lighthouse (0.0525, 0.06], fox (0.03, 0.0375], night_city (0.03, 0.0375],
+# mug <= 0.03, text <= 0.015. Worst clean boundary plus one full observed
+# cross-source spread: 0.06 + (0.0525 - 0.015) = 0.0975, rounded up to 0.1.
+# sdxl-zimage has no measured Meta floor; its vendor map stays without a meta
+# entry so an explicit --vendor meta there falls to the unknown 0.25, which is
+# above this floor and therefore conservative.
+QWEN_ZIMAGE_META_STRENGTH = 0.1
+
+_QWEN_ZIMAGE_FLAT_STRENGTH_BY_VENDOR: dict[str, float] = {
+    "google": QWEN_ZIMAGE_GOOGLE_STRENGTH,
+    "openai": QWEN_ZIMAGE_OPENAI_STRENGTH,
+    "microsoft": QWEN_ZIMAGE_MICROSOFT_STRENGTH,
+    "meta": QWEN_ZIMAGE_META_STRENGTH,
+}


-# sdxl-zimage picks its strength from the VENDOR (unlike qwen-zimage, which derives it
-# from image area). An unlisted or unknown vendor falls back to the Gemini value.
+# sdxl-zimage always picks its strength from the vendor. qwen-zimage instead uses
+# the vendor only for measured cohorts and image area for unknown content. An
+# unlisted or unknown SDXL vendor falls back to the Gemini value.
 _SDXL_ZIMAGE_STRENGTH_BY_VENDOR: dict[str, float] = {
    "openai": SDXL_ZIMAGE_OPENAI_STRENGTH,
    "google": SDXL_ZIMAGE_GEMINI_STRENGTH,
@@ -112,7 +145,9 @@ def strength_default_help() -> str:
    """Describe the live default policy without duplicating its values."""
    return (
        "profile-adaptive (qwen-zimage uses resolution-adaptive denoise, with a "
-        f"flat oracle-measured Google floor of {QWEN_ZIMAGE_GOOGLE_STRENGTH}; sdxl-zimage "
+        f"flat OpenAI {QWEN_ZIMAGE_OPENAI_STRENGTH} / Google {QWEN_ZIMAGE_GOOGLE_STRENGTH} / "
+        f"Microsoft InvisMark {QWEN_ZIMAGE_MICROSOFT_STRENGTH} / Meta Content Seal "
+        f"{QWEN_ZIMAGE_META_STRENGTH} floors; sdxl-zimage "
        f"uses OpenAI {SDXL_ZIMAGE_OPENAI_STRENGTH} / Google {SDXL_ZIMAGE_GEMINI_STRENGTH} / "
        f"unknown {SDXL_ZIMAGE_UNKNOWN_STRENGTH}, from the C2PA issuer)"
    )
@@ -131,10 +166,10 @@ def resolve_strength(
    from the vendor, so it needs ``size``; returning ``None`` for it instead would push that
    branch onto every caller and move one of the two strength policies outside this
    module. ``size`` is required for qwen-zimage without an explicit strength.
-    One measured exception since 0.27.2: Google-provenance content on qwen-zimage
-    takes the flat ``QWEN_ZIMAGE_GOOGLE_STRENGTH`` floor instead of the area curve
-    (the curve's 0.154 top left a 4.33 MP fixture oracle-detected on the full
-    production path; see the constant's comment).
+    Measured vendor exceptions bypass the area curve: OpenAI and Microsoft use one
+    additional observed cross-source spread over their worst clean boundaries, while
+    Google uses a separately repeated cross-source candidate. See the constants'
+    comments for the exact derivations.
    """
    if strength is not None:
        return strength
@@ -142,23 +177,63 @@ def resolve_strength(
        return _SDXL_ZIMAGE_STRENGTH_BY_VENDOR.get((vendor or "").casefold(), SDXL_ZIMAGE_UNKNOWN_STRENGTH)
    if size is None:
        raise ValueError("qwen-zimage resolves strength from image area, so size is required")
-    if (vendor or "").casefold() == "google":
-        return QWEN_ZIMAGE_GOOGLE_STRENGTH
+    vendor_strength = _QWEN_ZIMAGE_FLAT_STRENGTH_BY_VENDOR.get((vendor or "").casefold())
+    if vendor_strength is not None:
+        return vendor_strength
    from remove_ai_watermarks._internal.qwen_zimage_pipeline import resolution_adaptive_denoise

    return resolution_adaptive_denoise(*size)


-def vendor_for_strength(image_path: Path) -> Literal["openai", "google"] | None:
-    """Select the strength cohort using the input's SynthID provenance evidence."""
+def vendor_for_strength(image_path: Path) -> Literal["openai", "google", "microsoft", "meta"] | None:
+    """Select the strength cohort from non-invalid pixel-watermark provenance.
+
+    OpenAI / Google / Microsoft come from their C2PA issuers. Meta is the
+    fallback cohort: Muse Image carries no C2PA at all, and its only readable
+    companion is the IPTC ``trainedAlgorithmicMedia`` XMP tag -- a standard code
+    other platforms also use. Attributing that tag to Meta is a measured bet,
+    not an identification: the other tag users in this project's model (ByteDance
+    products, X) ship no invisible pixel watermark this profile targets, so the
+    worst misroute spends the Meta floor (0.1) where the resolution curve would
+    have spent a similar amount, and Google/OpenAI files never reach this arm
+    because their C2PA matched first."""
    try:
+        from remove_ai_watermarks._internal.c2pa import (
+            c2pa_info_has_invalid_credential,
+            c2pa_info_has_invismark,
+            extract_c2pa_info,
+        )
        from remove_ai_watermarks.metadata import synthid_source

-        evidence = (synthid_source(image_path) or "").casefold()
+        info = extract_c2pa_info(image_path)
+        evidence = (synthid_source(image_path, c2pa_info=info) or "").casefold()
    except Exception:
        return None
    if "google" in evidence:
        return "google"
    if "openai" in evidence:
        return "openai"
+    if not c2pa_info_has_invalid_credential(info) and c2pa_info_has_invismark(info):
+        return "microsoft"
+    if _standalone_iptc_ai_tag(image_path):
+        return "meta"
    return None
+
+
+def _standalone_iptc_ai_tag(image_path: Path) -> bool:
+    """True when the file carries an AI IPTC marker with no C2PA around it.
+
+    Mirrors identify's ``standalone_iptc`` condition (the tag is only
+    trustworthy as platform evidence when no manifest supersedes it) without
+    importing the heavy identify module: the shared chunk-aware
+    :func:`metadata.scan_head` window -- Muse WebP outputs place their XMP
+    packet in a tail chunk up to hundreds of KB past a plain head read, which
+    is exactly what scan_head's extensions exist to catch.
+    """
+    try:
+        from remove_ai_watermarks.metadata import IPTC_AI_MARKERS, c2pa_marker_in, scan_head
+
+        scan = scan_head(image_path)
+    except Exception:
+        return False
+    return any(marker in scan for marker in IPTC_AI_MARKERS) and not c2pa_marker_in(scan)
@@ -232,6 +232,7 @@ class InvisibleOptions:

    strength: float | None = None
    pipeline: str = "qwen-zimage"
+    vendor: str | None = None
    seed: int | None = None
    hf_token: str | None = None
    humanize: float = 0.0
@@ -487,13 +488,17 @@ def _run_invisible(
    if not is_available():
        say("invisible", "unavailable")
        return "unavailable"
-    if not (force or evidence.has_invisible_target()):
+    if not (force or opts.vendor is not None or evidence.has_invisible_target()):
        say("invisible", "no-signal")
        return "no-signal"

    from remove_ai_watermarks._internal.watermark_profiles import resolve_strength, vendor_for_strength

-    vendor = vendor_for_strength(vendor_source)
+    # An explicit vendor override wins over detection and implies the scrub runs:
+    # naming the cohort (e.g. "meta" for Muse Image Content Seal, which carries no
+    # provenance to detect) asserts the pixel watermark is present, so the no-signal
+    # gate must not skip it.
+    vendor = opts.vendor or vendor_for_strength(vendor_source)
    # Report the strength the engine will actually execute, resolved the same way it
    # resolves it, so the reported value cannot drift from the executed one.
    with suppress(Exception):
@@ -274,6 +274,32 @@ _strength_option = click.option(
    default=None,
    help=f"Denoising strength (0.0-1.0). Default: {strength_default_help()}.",
 )
+# Explicit strength-cohort override. Auto-detection reads the C2PA issuer, so it
+# covers OpenAI / Google / Microsoft; Meta Content Seal has no provenance signal
+# (no C2PA; the IPTC tag is a standard code), and an unknown or stripped manifest
+# also leaves the resolution-adaptive curve in charge -- this flag is the way to
+# name the cohort when the user knows what the file does not say.
+_vendor_option = click.option(
+    "--vendor",
+    type=click.Choice(["auto", "openai", "google", "microsoft", "meta"]),
+    default="auto",
+    help=(
+        "Strength cohort for the invisible-removal default, and it implies the scrub "
+        "runs even without a local signal: naming the cohort asserts the pixel "
+        "watermark is present. auto: derive from C2PA provenance, else "
+        "resolution-adaptive. Set explicitly when the source is known but unreadable "
+        "(e.g. meta for Muse Image Content Seal, which never carries C2PA)."
+    ),
+)
+
+
+def _explicit_vendor(vendor: str | None) -> str | None:
+    """Normalize --vendor's ``auto`` default to None for the engine/API seam.
+
+    One helper so the three diffusion commands cannot drift on the spelling."""
+    return None if vendor in (None, "auto") else vendor
+
+
 _seed_option = click.option(
    "--seed",
    type=int,
@@ -796,6 +822,7 @@ def cmd_erase(
@click.argument("source", type=click.Path(exists=True, dir_okay=False, path_type=Path))
@_output_option
@_strength_option
+@_vendor_option
@_pipeline_option
@_seed_option
@_hf_token_option
@@ -815,6 +842,7 @@ def cmd_invisible(
    source: Path,
    output: Path | None,
    strength: float | None,
+    vendor: str | None,
    pipeline: str,
    seed: int | None,
    hf_token: str | None,
@@ -851,11 +879,17 @@ def cmd_invisible(
    if output is None:
        output = source.with_stem(source.stem + "_clean")

+    # An explicit --vendor wins over detection (see the option help) and implies the
+    # scrub runs: naming the cohort asserts the pixel watermark is present, so the
+    # no-signal gate must not skip it. Resolved BEFORE the gate for the same reason.
+    resolved_vendor = _explicit_vendor(vendor)
+
    # Gate BEFORE building the engine: skip the destructive regeneration when no
    # invisible AI watermark is locally detectable (it would only degrade a clean
    # image -- dominant paid score-0 cause), so the common skip path pays nothing for
-    # engine construction. A skip never claims the image is clean; --force overrides.
-    if _should_skip_invisible_scrub(force, source):
+    # engine construction. A skip never claims the image is clean; --force and an
+    # explicit --vendor override.
+    if _should_skip_invisible_scrub(force or resolved_vendor is not None, source):
        _no_invisible_signal_exit(source)

    def progress_cb(msg: str) -> None:
@@ -870,11 +904,18 @@ def cmd_invisible(
    )

    # Detect the SynthID vendor from the ORIGINAL (before processing strips C2PA) so the
-    # displayed and executed strength agree on the vendor-adaptive default.
-    vendor = vendor_for_strength(source)
+    # displayed and executed strength agree on the vendor-adaptive default. An explicit
+    # --vendor override wins over detection: it names a cohort the file cannot prove
+    # (Meta Content Seal never carries C2PA; a stripped manifest proves nothing).
+    detected_vendor = vendor_for_strength(source) if resolved_vendor is None else None
+    vendor_label = resolved_vendor or detected_vendor
+    vendor_note = " (override)" if resolved_vendor else ""
    console.print(f"  Input:    {source.name}")
    console.print(f"  Pipeline: {pipeline}")
-    console.print(f"  Strength: {_resolved_strength_for_display(source, strength, vendor, pipeline)}")
+    console.print(
+        f"  Strength: {_resolved_strength_for_display(source, strength, vendor_label, pipeline)}"
+        + (f"  [vendor: {vendor_label}{vendor_note}]" if vendor_label else "")
+    )

    t0 = time.monotonic()
    try:
@@ -887,7 +928,7 @@ def cmd_invisible(
            unsharp=unsharp,
            adaptive_polish=adaptive_polish,
            max_resolution=max_resolution,
-            vendor=vendor,
+            vendor=vendor_label,
            tile=tile,
            tile_size=tile_size,
            tile_overlap=tile_overlap,
@@ -1448,6 +1489,7 @@ def cmd_identify(ctx: click.Context, source: Path, no_visible: bool, as_json: bo
@_visible_backend_option
@_visible_sensitivity_option
@_strength_option
+@_vendor_option
@_pipeline_option
@_seed_option
@_hf_token_option
@@ -1469,6 +1511,7 @@ def cmd_all(
    backend: str,
    sensitivity: str,
    strength: float | None,
+    vendor: str | None,
    pipeline: str,
    seed: int | None,
    hf_token: str | None,
@@ -1549,6 +1592,7 @@ def cmd_all(
            sensitivity=_parse_sensitivity(sensitivity),
            invisible=InvisibleOptions(
                strength=strength,
+                vendor=_explicit_vendor(vendor),
                pipeline=pipeline,
                seed=seed,
                hf_token=hf_token,
@@ -1643,6 +1687,7 @@ def _batch_engine(mode: str, options: InvisibleOptions) -> object | None:
@_visible_backend_option
@_visible_sensitivity_option
@_humanize_option
+@_vendor_option
@_pipeline_option
@_seed_option
@_hf_token_option
@@ -1660,6 +1705,7 @@ def cmd_batch(
    mode: str,
    output_dir: Path | None,
    strength: float | None,
+    vendor: str | None,
    pipeline: str,
    seed: int | None,
    hf_token: str | None,
@@ -1697,6 +1743,7 @@ def cmd_batch(

    invisible_options = InvisibleOptions(
        strength=strength,
+        vendor=_explicit_vendor(vendor),
        pipeline=pipeline,
        seed=seed,
        hf_token=hf_token,
@@ -135,6 +135,11 @@ _C2PA_INVALID_CAVEAT = (
    "are retained only as removal hints, not as verified provenance."
 )
 _IPTC_ONLY_CAVEAT = "The IPTC 'Made with AI' tag flags AI provenance but does not identify the specific platform."
+_CONTENT_SEAL_CAVEAT = (
+    "Meta Muse Image outputs carry the invisible Content Seal pixel watermark, which has no "
+    "local decoder; `invisible` removes it (auto when this tag is present, or `--vendor meta` "
+    "on stripped files) and meta.ai/identification verifies it."
+)
 _INVISIBLE_WM_CAVEAT = (
    "The open invisible watermark is fragile: it does not survive JPEG re-encoding "
    "or resizing, so it confirms origin only on a pristine (un-re-encoded) file."
@@ -1268,7 +1273,19 @@ def _identify_from_evidence(
    # reusing the derived `has_c2pa` / `source_kind` above, which are broader:
    # the file path's answer must not move.
    trained_source = b"trainedAlgorithmicMedia" in head or b"TrainedAlgorithmicMedia" in head
-    if not synthid and trained_source and c2pa_marker_in(head) and (vendors := synthid_evidence_vendors_in(region)):
+    # Same suppression as every other inference site: bytes that name their own
+    # forensic soft-binding algorithm carry that vendor's mark, and the generic
+    # vendor-token inference must not add a second, differently-attributed
+    # invisible watermark (Microsoft Designer: "Azure OpenAI ImageGen" agent +
+    # the InvisMark watermarked action read as "SynthID per OpenAI").
+
+    if (
+        not synthid
+        and trained_source
+        and c2pa_marker_in(head)
+        and not soft_binding_vendors_in(region)
+        and (vendors := synthid_evidence_vendors_in(region))
+    ):
        synthid = synthid_verdict(", ".join(vendors))
    if synthid:
        watermarks.append(
@@ -1318,6 +1335,7 @@ def _identify_from_evidence(
        signals.append(Signal("iptc", "digitalSourceType (Made with AI)", "high"))
        watermarks.append("IPTC digitalSourceType (Made with AI)")
        caveats.append(_IPTC_ONLY_CAVEAT)
+        caveats.append(_CONTENT_SEAL_CAVEAT)
        if platform is None:
            # Apple Photos Clean Up (Apple Intelligence object removal) marks
            # the edit with photoshop:Credit / IPTC "Apple Photos Clean Up"
@@ -792,7 +792,7 @@ def _iptc_ai_system_impl(image_path: Path) -> str | None:
    return iptc_ai_system_in(scan_head(image_path))


-def synthid_source(image_path: Path) -> str | None:
+def synthid_source(image_path: Path, *, c2pa_info: dict[str, Any] | None = None) -> str | None:
    """Return the vendor name(s) when provenance establishes SynthID.

    This is provenance-based, not a local pixel decode. Google states that all
@@ -808,6 +808,8 @@ def synthid_source(image_path: Path) -> str | None:

    Args:
        image_path: Path to the image (PNG, JPEG, WebP, or ISOBMFF container).
+        c2pa_info: Already extracted normalized C2PA info, for callers that also need
+            another claim from the same manifest.

    Returns:
        Comma-joined vendor name(s) (e.g. ``"OpenAI"``) or None.
@@ -821,7 +823,7 @@ def synthid_source(image_path: Path) -> str | None:
    # Prefer the official reader's structured result. A failed asset binding or
    # signature cannot establish the claim, and the raw fallback below must not
    # resurrect it from the same damaged manifest bytes.
-    c2pa = extract_c2pa_info(image_path)
+    c2pa = extract_c2pa_info(image_path) if c2pa_info is None else c2pa_info
    if c2pa_info_has_invalid_credential(c2pa):
        return None
    vendors = c2pa.get("synthid_vendors")
@@ -837,6 +839,13 @@ def synthid_source(image_path: Path) -> str | None:
    ai_source = b"trainedAlgorithmicMedia" in data or b"TrainedAlgorithmicMedia" in data
    if not (has_c2pa and ai_source):
        return None
+    from remove_ai_watermarks._internal.c2pa import soft_binding_vendors_in
+
+    # A scan that names its own forensic soft-binding algorithm carries that
+    # vendor's mark; the generic vendor-token inference must not add a second,
+    # differently-attributed invisible watermark from the same bytes.
+    if soft_binding_vendors_in(data):
+        return None
    matched = synthid_evidence_vendors_in(data)
    return ", ".join(matched) if matched else None

@@ -426,6 +426,39 @@ class TestInvisibleCommand:
        assert result.exit_code == 0, result.output
        mock_engine.remove_watermark.assert_called_once()

+    def test_invisible_explicit_vendor_implies_force_and_sets_cohort(self, runner, sample_png, tmp_path):
+        """--vendor meta names a cohort the file cannot prove (Content Seal carries
+        no C2PA), so it must both bypass the no-signal skip and arrive at the engine
+        as the vendor, where it resolves to the measured Meta floor (not the
+        area-curve value the same size would otherwise get)."""
+        mock_cls, mock_engine = _mock_invisible_engine()
+        output = tmp_path / "clean.png"
+        with (
+            patch("remove_ai_watermarks.invisible_engine.is_available", return_value=True),
+            patch("remove_ai_watermarks.cli.InvisibleEngine", mock_cls, create=True),
+            patch("remove_ai_watermarks.invisible_engine.InvisibleEngine", mock_cls),
+        ):
+            result = runner.invoke(main, ["invisible", str(sample_png), "-o", str(output), "--vendor", "meta"])
+        assert result.exit_code == 0, result.output
+        kwargs = mock_engine.remove_watermark.call_args.kwargs
+        assert kwargs["vendor"] == "meta"
+        assert "0.1" in result.output  # the resolved Meta floor, printed
+        assert "0.094" not in result.output  # not the sample's area-curve value (200x200 -> ~0.0944)
+
+    def test_invisible_vendor_auto_keeps_detection_semantics(self, runner, sample_png, tmp_path):
+        """--vendor auto is the default spelled out: detection still runs and a
+        no-signal file still skips."""
+        mock_cls, mock_engine = _mock_invisible_engine()
+        output = tmp_path / "clean.png"
+        with (
+            patch("remove_ai_watermarks.invisible_engine.is_available", return_value=True),
+            patch("remove_ai_watermarks.cli.InvisibleEngine", mock_cls, create=True),
+            patch("remove_ai_watermarks.invisible_engine.InvisibleEngine", mock_cls),
+        ):
+            result = runner.invoke(main, ["invisible", str(sample_png), "-o", str(output), "--vendor", "auto"])
+        assert result.exit_code == 2, result.output
+        mock_engine.remove_watermark.assert_not_called()
+
    def test_invisible_runs_without_force_when_signal_present(self, runner, tmp_path):
        """An image carrying an AI metadata signal IS a scrub target, so the run
        proceeds with no --force needed."""
@@ -0,0 +1,60 @@
+"""Tests for the Content Seal oracle corpus layout.
+
+Mirrors the synthid corpus guard: the manifest is the source of truth for
+which binaries exist, and every recorded hash must match the file it names.
+Derived rows are recipes, not stored files, so only originals are checked
+against disk.
+"""
+
+from __future__ import annotations
+
+import csv
+import hashlib
+import re
+from pathlib import Path
+
+CORPUS_DIR = Path(__file__).resolve().parent.parent / "data" / "contentseal"
+MANIFEST = CORPUS_DIR / "manifest.csv"
+ORIGINALS = CORPUS_DIR / "originals"
+
+_SHA256 = re.compile(r"^[0-9a-f]{64}$")
+_VALID_VERDICTS = {"detected", "not_detected", ""}
+_VALID_ORIGINS = {"meta-model-api", "derived", "meta-blog-cdn", "synthetic-local"}
+
+
+def _manifest_rows() -> list[dict[str, str]]:
+    with open(MANIFEST, newline="") as f:
+        return list(csv.DictReader(f))
+
+
+def test_manifest_original_rows_match_binaries_and_hashes() -> None:
+    rows = [r for r in _manifest_rows() if r["file"]]
+    stored = {path.name for path in ORIGINALS.iterdir() if path.is_file()}
+    assert {r["file"].removeprefix("originals/") for r in rows} == stored
+
+    for row in rows:
+        digest = hashlib.sha256((CORPUS_DIR / row["file"]).read_bytes()).hexdigest()
+        assert digest == row["sha256"], row["file"]
+
+
+def test_manifest_rows_are_well_formed() -> None:
+    rows = _manifest_rows()
+    assert len({row["sha256"] for row in rows}) == len(rows), "duplicate sha256"
+
+    for row in rows:
+        assert _SHA256.match(row["sha256"]), row["name"]
+        assert row["origin"].split(":")[0] in _VALID_ORIGINS, row["name"]
+        assert row["oracle_verdict"] in _VALID_VERDICTS, row["name"]
+        # Every oracle verdict must carry its check timestamp.
+        if row["oracle_verdict"]:
+            assert row["checked_at_utc"], row["name"]
+        # Detection rows must name the oracle attribution.
+        if row["oracle_verdict"] == "detected":
+            assert "Muse Image 1" in row["oracle_attribution"], row["name"]
+
+
+def test_default_pipeline_clearance_is_recorded() -> None:
+    """The verified claim that the default profile clears Content Seal must stay."""
+    rows = {row["name"]: row for row in _manifest_rows()}
+    for name in ("fox_modal_invisible", "text_modal_invisible"):
+        assert rows[name]["oracle_verdict"] == "not_detected", name
@@ -0,0 +1,85 @@
+"""Regression: a manifest that names its own forensic soft binding must not
+also report a SynthID watermark from the generic vendor-token inference.
+
+Microsoft Designer manifests sign as Microsoft, carry the InvisMark
+``c2pa.watermarked`` action, and name their generation agent
+"Azure OpenAI ImageGen". The OpenAI issuer token inside that agent name plus
+the watermarked action used to satisfy the OpenAI SynthID-evidence rule,
+double-counting one forensic mark as two pixel watermarks.
+"""
+
+from __future__ import annotations
+
+from remove_ai_watermarks._internal.c2pa import c2pa_info_from_manifest_store
+
+DESIGNER_STORE = {
+    "active_manifest": "designer",
+    "manifests": {
+        "designer": {
+            "signature_info": {"issuer": "Microsoft Corporation", "common_name": "Microsoft Corporation"},
+            "claim_generator_info": [{"name": "Microsoft Responsible AI Provenance", "version": "1.0"}],
+            "assertions": [
+                {
+                    "label": "c2pa.actions",
+                    "data": {
+                        "actions": [
+                            {
+                                "action": "c2pa.created",
+                                "softwareAgent": {"name": "Azure OpenAI ImageGen"},
+                                "digitalSourceType": "http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia",
+                            },
+                            {"action": "c2pa.watermarked"},
+                        ]
+                    },
+                },
+                {
+                    "label": "c2pa.soft-binding",
+                    "data": {"alg": "com.microsoft.invismark.1", "blocks": [{"value": "bf7a2993-cc1f-47e1-b1f0-cd8839aabb22"}]},
+                },
+            ],
+        }
+    },
+}
+
+
+def test_named_soft_binding_suppresses_generic_synthid_evidence() -> None:
+    info = c2pa_info_from_manifest_store(DESIGNER_STORE)
+    assert info["ai_source_kind"] == "generated"
+    assert info["soft_binding_algorithm"] == "com.microsoft.invismark.1"
+    assert info.get("synthid_watermark") is None
+    assert info.get("synthid_vendors") is None
+
+
+def test_vendor_agent_name_alone_is_not_the_vendors_provenance() -> None:
+    """The identity-scoped inference must not fire on a service name either.
+
+    Same manifest without the soft binding: the "Azure OpenAI ImageGen" agent
+    is not an OpenAI signature or claim generator, so no OpenAI SynthID
+    evidence may be derived from it.
+    """
+    store = {
+        "active_manifest": "designer",
+        "manifests": {
+            "designer": {
+                "signature_info": {"issuer": "Microsoft Corporation", "common_name": "Microsoft Corporation"},
+                "claim_generator_info": [{"name": "Microsoft Responsible AI Provenance", "version": "1.0"}],
+                "assertions": [
+                    {
+                        "label": "c2pa.actions",
+                        "data": {
+                            "actions": [
+                                {
+                                    "action": "c2pa.created",
+                                    "softwareAgent": {"name": "Azure OpenAI ImageGen"},
+                                    "digitalSourceType": "http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia",
+                                },
+                                {"action": "c2pa.watermarked"},
+                            ]
+                        },
+                    }
+                ],
+            }
+        },
+    }
+    info = c2pa_info_from_manifest_store(store)
+    assert info.get("synthid_watermark") is None
@@ -596,6 +596,19 @@ class TestSynthIDSourceNonPng:
        )
        assert synthid_source(path) == "OpenAI"

+    def test_preextracted_c2pa_is_reused(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch):
+        """A caller classifying another claim must not parse the manifest twice."""
+        from remove_ai_watermarks._internal import c2pa
+
+        path = self._c2pa_jpeg(tmp_path, "chatgpt-reused.jpg", b"OpenAI")
+        info = {"synthid_vendors": ["OpenAI"]}
+
+        def unexpected_extract(_path: Path):
+            pytest.fail("synthid_source reparsed pre-extracted C2PA")
+
+        monkeypatch.setattr(c2pa, "extract_c2pa_info", unexpected_extract)
+        assert synthid_source(path, c2pa_info=info) == "OpenAI"
+
    def test_legacy_openai_c2pa_without_watermark_action_is_none(self, tmp_path: Path):
        path = self._c2pa_jpeg(tmp_path, "legacy-chatgpt.jpg", b"OpenAI")
        assert synthid_source(path) is None
@@ -6,6 +6,7 @@ answer and a clean refusal rather than a fallback ladder.

 from __future__ import annotations

+import struct
 from pathlib import Path
 from unittest.mock import MagicMock, patch

@@ -15,6 +16,8 @@ from remove_ai_watermarks._internal.utils import get_image_format, is_supported_
 from remove_ai_watermarks._internal.watermark_profiles import (
    PROFILE_CHOICES,
    QWEN_ZIMAGE_GOOGLE_STRENGTH,
+    QWEN_ZIMAGE_META_STRENGTH,
+    QWEN_ZIMAGE_OPENAI_STRENGTH,
    REMOVAL_MODULES,
    SDXL_ZIMAGE_GEMINI_STRENGTH,
    SDXL_ZIMAGE_OPENAI_STRENGTH,
@@ -197,20 +200,44 @@ class TestNoReembeddedWatermark:
        assert "add_watermarker" not in calls["controlnet"]


+# Minimal WebP stub whose XMP chunk carries the IPTC trainedAlgorithmicMedia
+# tag exactly as Muse outputs place it (built inline so the test has no binary
+# fixture dependency).
+_XMP_PAYLOAD = (
+    b'<x:xmpmeta xmlns:x="adobe:ns:meta/"><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax#">'
+    b'<rdf:Description rdf:about="" xmlns:iptcExt="http://iptc.org/std/Iptc4xmpExt/2008-02-29/" '
+    b'iptcExt:DigitalSourceType="http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia"/>'
+    b"</rdf:RDF></x:xmpmeta>"
+)
+
+
+def _webp_stub(xmp: bytes | None) -> bytes:
+    def chunk(cid: bytes, data: bytes) -> bytes:
+        return cid + struct.pack("<I", len(data)) + data + (b"\x00" if len(data) % 2 else b"")
+
+    body = b"WEBP" + chunk(b"VP8L", b"\x00" * 20)
+    if xmp is not None:
+        body += chunk(b"XMP ", xmp)
+    return b"RIFF" + struct.pack("<I", len(body)) + body
+
+
+_MUSE_WEBP_WITH_IPTC_TAG = _webp_stub(_XMP_PAYLOAD)
+
+
 class TestResolveStrength:
-    """resolve_strength answers for sdxl-zimage and defers for qwen-zimage."""
+    """resolve_strength owns the qwen-zimage and sdxl-zimage policies."""

    def test_qwen_zimage_answers_from_the_resolution_curve(self):
        """The function is total: it owns both policies rather than returning None.

-        qwen-zimage picks strength from image area, so it takes the size. Returning
-        None for it would push that branch onto every caller and leave one of the two
-        strength policies living outside this module. Google content is the one
-        measured exception since 0.27.2: it takes the flat oracle-measured floor
-        instead of the curve (the curve's 0.154 top left a 4.33 MP fixture
-        oracle-detected on the full production path).
+        qwen-zimage picks unknown content's strength from image area, so it takes the
+        size. Returning None would push that branch onto every caller and leave one of
+        the two strength policies living outside this module. Measured providers take
+        flat corpus-derived operating points instead.
        """
-        assert resolve_strength(None, "openai", "qwen-zimage", size=(2000, 1850)) == pytest.approx(0.154)
+        assert resolve_strength(None, "openai", "qwen-zimage", size=(2000, 1850)) == pytest.approx(
+            QWEN_ZIMAGE_OPENAI_STRENGTH
+        )
        assert resolve_strength(None, None, "qwen-zimage", size=(600, 500)) == pytest.approx(0.084)
        assert resolve_strength(None, "google", "qwen-zimage", size=(600, 500)) == QWEN_ZIMAGE_GOOGLE_STRENGTH
        # The floor holds at every size, not only above the curve's top rung.
@@ -221,6 +248,36 @@ class TestResolveStrength:
        with pytest.raises(ValueError, match="size is required"):
            resolve_strength(None, "openai", "qwen-zimage")

+    @pytest.mark.parametrize(("vendor", "expected"), [("microsoft", 0.15), ("openai", 0.07675), ("meta", 0.1)])
+    def test_qwen_zimage_measured_vendors_use_flat_cross_source_margins(self, vendor, expected):
+        """Measured providers must not fall below their operating points on small files."""
+        assert resolve_strength(None, vendor, "qwen-zimage", size=(600, 500)) == pytest.approx(expected)
+        assert resolve_strength(None, vendor, "qwen-zimage", size=(4000, 3000)) == pytest.approx(expected)
+
+    def test_meta_floor_is_size_independent_and_sdxl_falls_to_unknown(self):
+        """The Meta floor bypasses the area curve at every size (Content Seal removal
+        was bracketed on 2.56 MP generations and derived as a flat cross-source
+        margin, like the other measured cohorts), while sdxl-zimage has no measured
+        Meta rung and must fall to the conservative unknown value, not invent one."""
+        for size in ((600, 500), (1600, 1600), (1920, 1280), (4000, 3000)):
+            assert resolve_strength(None, "meta", "qwen-zimage", size=size) == pytest.approx(QWEN_ZIMAGE_META_STRENGTH)
+        assert resolve_strength(None, "meta", "sdxl-zimage") == SDXL_ZIMAGE_UNKNOWN_STRENGTH
+
+    def test_vendor_for_strength_routes_standalone_iptc_to_meta(self, tmp_path):
+        """Auto mode: a file whose only provenance is the AI IPTC tag routes to the
+        meta cohort (Muse carries no C2PA; the tag is its fallback companion), while
+        a file without the tag stays on the resolution curve and a C2PA issuer still
+        wins over the tag."""
+        from remove_ai_watermarks._internal.watermark_profiles import vendor_for_strength
+
+        tagged = tmp_path / "tagged.webp"
+        tagged.write_bytes(_MUSE_WEBP_WITH_IPTC_TAG)
+        assert vendor_for_strength(tagged) == "meta"
+
+        stripped = tmp_path / "stripped.webp"
+        stripped.write_bytes(b"RIFF\x24\x00\x00\x00WEBPVP8 \x18\x00\x00\x00" + b"\x00" * 16)
+        assert vendor_for_strength(stripped) is None
+
    def test_sdxl_zimage_uses_its_flat_vendor_ladder(self):

        assert SDXL_ZIMAGE_OPENAI_STRENGTH == 0.15
@@ -253,7 +310,7 @@ class TestResolveStrength:


 class TestVendorForStrength:
-    """vendor_for_strength normalizes SynthID provenance to openai/google/None."""
+    """Normalize supported invisible-watermark provenance to a removal profile."""

    @staticmethod
    def _patch(value):
@@ -271,6 +328,22 @@ class TestVendorForStrength:
        with self._patch("Google"):
            assert vendor_for_strength(Path("x.png")) == "google"

+    @pytest.mark.parametrize(("integrity", "expected"), [("valid", "microsoft"), ("invalid", None)])
+    def test_only_valid_microsoft_invismark_selects_the_removal_floor(self, integrity, expected):
+        from remove_ai_watermarks._internal.watermark_profiles import vendor_for_strength
+
+        info = {
+            "soft_binding_vendors": ["Microsoft InvisMark"],
+            "c2pa_integrity": integrity,
+            "c2pa_signature": "valid",
+            "c2pa_signer_validity": "valid",
+        }
+        with (
+            self._patch(None),
+            patch("remove_ai_watermarks._internal.c2pa.extract_c2pa_info", return_value=info),
+        ):
+            assert vendor_for_strength(Path("x.png")) == expected
+
    def test_both_issuers_google_wins(self):
        # The more-robust watermark wins -> safer (higher) strength.
        from remove_ai_watermarks._internal.watermark_profiles import vendor_for_strength
@@ -908,6 +908,7 @@ def test_sdxl_zimage_strength_is_vendor_adaptive_and_leaves_other_profiles_alone
    """An SDXL global pass needs more strength than Qwen, so it gets its own policy."""
    from remove_ai_watermarks._internal.watermark_profiles import (
        QWEN_ZIMAGE_GOOGLE_STRENGTH,
+        QWEN_ZIMAGE_OPENAI_STRENGTH,
        SDXL_ZIMAGE_GEMINI_STRENGTH,
        SDXL_ZIMAGE_OPENAI_STRENGTH,
        resolve_strength,
@@ -917,11 +918,12 @@ def test_sdxl_zimage_strength_is_vendor_adaptive_and_leaves_other_profiles_alone
    assert resolve_strength(None, "google", "sdxl-zimage") == pytest.approx(SDXL_ZIMAGE_GEMINI_STRENGTH)
    # Unknown provenance takes the stricter of the two.
    assert resolve_strength(None, None, "sdxl-zimage") == pytest.approx(SDXL_ZIMAGE_GEMINI_STRENGTH)
-    # An explicit value still wins, and qwen-zimage's curve is untouched by this
-    # ladder - with the one measured exception: Google content takes the flat
-    # oracle floor (0.27.2), not the area curve.
+    # An explicit value still wins. qwen-zimage's unknown cohort keeps the curve,
+    # while measured providers take their flat operating points.
    assert resolve_strength(0.4, "google", "sdxl-zimage") == pytest.approx(0.4)
-    assert resolve_strength(None, "openai", "qwen-zimage", size=(2000, 1850)) == pytest.approx(0.154)
+    assert resolve_strength(None, "openai", "qwen-zimage", size=(2000, 1850)) == pytest.approx(
+        QWEN_ZIMAGE_OPENAI_STRENGTH
+    )
    assert resolve_strength(None, "google", "qwen-zimage", size=(2000, 1850)) == pytest.approx(
        QWEN_ZIMAGE_GOOGLE_STRENGTH
    )
@@ -288,7 +288,7 @@ wheels = [

 [[package]]
 name = "c2pa-python"
-version = "0.37.7"
+version = "0.37.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "cryptography" },
@@ -298,15 +298,15 @@ dependencies = [
    { name = "toml" },
    { name = "wheel" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/58/74/291b19f26fe628ca6bf001be741dfe634f8689756cf8495499e02ab2f631/c2pa_python-0.37.7.tar.gz", hash = "sha256:66114c3bc6b073249cb33043e491cf292e052ff770c1aefaed66a5ca2d8aaa0c", size = 112987, upload-time = "2026-08-13T21:25:27.464Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/1f/32/e93959d17db5af4078532f587b9638e87b6429ca0b51348a8ac6ad99e471/c2pa_python-0.37.8.tar.gz", hash = "sha256:c52eb07244558a5997fe61b6ed8d879b4f46f38642dd11956bcedf888c58649c", size = 113008, upload-time = "2026-08-27T20:40:06.081Z" }
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 [[package]]
@@ -546,14 +546,11 @@ wheels = [

 [[package]]
 name = "click"
-version = "8.4.2"
+version = "8.5.0"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
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 [[package]]
Author	SHA1	Message	Date
Victor Kuznetsov	d8fcd0f79b	Stop double-counting a named forensic mark as SynthID provenance A manifest that names its own forensic soft-binding algorithm carries that vendor's mark; the generic watermark-action vendor-token inference must not add a second, differently-attributed invisible watermark from the same bytes. Microsoft Designer manifests triggered exactly that: signed by Microsoft, watermarked by InvisMark, with the generation agent named "Azure OpenAI ImageGen" - the OpenAI issuer token inside that service name plus the InvisMark watermarked action satisfied the OpenAI SynthID-evidence rule, and identify reported one forensic mark as two paid pixel watermarks. Three changes, one rule at every inference site (the verdict-scan comment's own lesson: a rule that lives in only one copy is a rule the others silently lack): - c2pa.py structured path: SynthID evidence now scopes to the signer/generator identity strings only (signature issuer, claim generator), never the raw chain, and is suppressed entirely when a soft-binding algorithm is named. - c2pa.py byte fallback and metadata.py synthid_source: suppressed when the scan names a soft-binding algorithm. - identify.py verdict scan: same suppression. Gemini and ChatGPT originals keep their provenance-asserted SynthID strings; the Designer regression is pinned by test_designer_synthid_suppression.py (agent name alone is not the vendor's provenance, and a named soft binding suppresses the inference).	2026-08-27 15:20:45 -07:00
Victor Kuznetsov	0a3b227f2c	Merge pull request #87 from wiltodelta/dependabot/uv/minor-and-patch-c54089dda1 Bump the minor-and-patch group with 5 updates	2026-08-27 11:50:53 -07:00
Victor Kuznetsov	f91f9fd9fc	Record the public Microsoft Content Provenance check URL The InvisMark strength ladder was measured against Microsoft's public Content Provenance page, but no doc or comment carried its URL - the API how-to link was the only address recorded anywhere, and the page is what a human can actually check without an Azure account. Record https://ai.azure.com/nextgen/validate in supported-signals.md, the watermarking landscape, and the strength derivation comment, with the honest caveat that its collapsed verdict tops out at Inconclusive rather than the API's separate watermark-negative result.	2026-08-27 11:21:08 -07:00
Victor KuznetsovandClaude Fable 4.5	c4aecfbbdf	Release 0.32.0 Co-Authored-By: Claude Fable 4.5 <noreply@anthropic.com>	2026-08-26 23:03:04 -07:00
Victor KuznetsovandClaude Fable 4.5	ab528ec0e8	Ship the measured Meta Content Seal cohort with auto routing and --vendor override Full Meta Muse Image support in the invisible-removal path: - QWEN_ZIMAGE_META_STRENGTH = 0.1: derived by the standard worst-boundary-plus-cross-source-spread method over five oracle-bracketed generations (data/contentseal/manifest.csv) - Auto mode: vendor_for_strength routes a file whose only provenance is the standalone AI IPTC trainedAlgorithmicMedia tag onto the meta cohort; C2PA issuers win first, so Google/OpenAI/Microsoft routing is unchanged. Muse WebP outputs place the XMP in a tail chunk, so the scan uses the shared chunk-aware metadata.scan_head rather than a plain head read - Explicit override: --vendor on invisible/all/batch and InvisibleOptions.vendor name the cohort on stripped files; naming a cohort asserts the watermark is present, so the no-signal gate treats it like --force at both the CLI and API seams - sdxl-zimage has no measured Meta rung: an explicit meta vendor falls to the conservative unknown 0.25 rather than inventing one - identify emits a Content Seal caveat pointing at the removal path - The legacy visible 'Imagined with AI' mark stays unregistered: a dedicated sample hunt (newsroom mockups, community posts, press screenshots, dead imagine.meta.com, broken Wayback captures) found no pixel-verifiable capture, and the registry rule forbids encoding a corner without one. erase --region remains its removal path; outcome recorded in the landscape Co-Authored-By: Claude Fable 4.5 <noreply@anthropic.com>	2026-08-26 22:59:23 -07:00
Victor KuznetsovandClaude Fable 4.5	a1811b6221	Release 0.31.2 Documentation and corpus release: Meta Muse Image Content Seal support records (oracle-verified boundaries, wire format, removal verification) plus the contentseal manifest guard. No runtime behavior change. Co-Authored-By: Claude Fable 4.5 <noreply@anthropic.com>	2026-08-26 21:11:40 -07:00
Victor KuznetsovandClaude Fable 4.5	e09104e39f	Document Meta Muse Image Content Seal support with oracle-verified corpus Muse Image (muse-image-1.0, Meta Superintelligence Labs, 2026-07-07) ships every output with Content Seal, a proprietary invisible pixel watermark, and no visible mark. Establish support documentation and a verified corpus: - data/contentseal/: five own generations via the Meta Model API, every oracle verdict recorded in manifest.csv (44 rows, settled-text protocol, fresh-navigation variant for calibration rows) - Oracle: meta.ai/identification web tool only; no API endpoint exists in the Meta Model API (verified against dev.meta.ai/docs); internal REST pair documented with its server-side sliding-window rate limit - Removal: default qwen-zimage profile clears Content Seal (oracle-verified on the worst source); strength floor derived at 0.1 by the standard worst-boundary-plus-cross-source-spread method, recorded but not encoded as a constant since no provenance signal routes Muse output onto a vendor cohort - Seal robustness measured: survives resize, JPEG q85, metadata stripping, CDN WebP transcode; dies to center crops and diffusion regeneration - tests/test_contentseal_corpus.py guards manifest integrity Co-Authored-By: Claude Fable 4.5 <noreply@anthropic.com>	2026-08-26 21:08:47 -07:00
Victor Kuznetsov	29f17105de	Release 0.31.1 with calibrated provider strengths	2026-08-26 11:22:13 -07:00
dependabot[bot]	2810b53585	Bump the minor-and-patch group with 5 updates Bumps the minor-and-patch group with 5 updates: \| Package \| From \| To \| \| --- \| --- \| --- \| \| [diffusers](https://github.com/huggingface/diffusers) \| `0.39.0` \| `0.40.0` \| \| [transformers](https://github.com/huggingface/transformers) \| `5.15.0` \| `5.15.1` \| \| [huggingface-hub](https://github.com/huggingface/huggingface_hub) \| `1.27.0` \| `1.28.0` \| \| [onnxruntime](https://github.com/microsoft/onnxruntime) \| `1.28.0` \| `1.29.0` \| \| [ruff](https://github.com/astral-sh/ruff) \| `0.16.3` \| `0.16.4` \| Updates `diffusers` from 0.39.0 to 0.40.0 - [Release notes](https://github.com/huggingface/diffusers/releases) - [Commits](https://github.com/huggingface/diffusers/compare/v0.39.0...v0.40.0) Updates `transformers` from 5.15.0 to 5.15.1 - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](https://github.com/huggingface/transformers/compare/v5.15.0...v5.15.1) Updates `huggingface-hub` from 1.27.0 to 1.28.0 - [Release notes](https://github.com/huggingface/huggingface_hub/releases) - [Commits](https://github.com/huggingface/huggingface_hub/compare/v1.27.0...v1.28.0) Updates `onnxruntime` from 1.28.0 to 1.29.0 - [Release notes](https://github.com/microsoft/onnxruntime/releases) - [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseNotesWorkflow.md) - [Commits](https://github.com/microsoft/onnxruntime/compare/v1.28.0...v1.29.0) Updates `ruff` from 0.16.3 to 0.16.4 - [Release notes](https://github.com/astral-sh/ruff/releases) - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) - [Commits](https://github.com/astral-sh/ruff/compare/0.16.3...0.16.4) --- updated-dependencies: - dependency-name: diffusers dependency-version: 0.40.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: minor-and-patch - dependency-name: transformers dependency-version: 5.15.1 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: minor-and-patch - dependency-name: huggingface-hub dependency-version: 1.28.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: minor-and-patch - dependency-name: onnxruntime dependency-version: 1.29.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: minor-and-patch - dependency-name: ruff dependency-version: 0.16.4 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: minor-and-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2026-08-26 08:48:21 +00:00