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Add external metadata evidence ingestion
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@@ -136,6 +136,8 @@ metadata extraction from verdict logic:
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- `extract_provenance_evidence` reads the supported metadata signals into
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`ProvenanceEvidence`.
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- `evidence_from_metadata_record` normalizes an externally collected nested
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metadata record into the same evidence type without file access.
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- `identify_from_evidence` evaluates that evidence without reopening the source.
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- `identify` preserves the path-based API and adds the optional registered
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visible-mark and open invisible-watermark decoders after extraction.
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@@ -113,6 +113,28 @@ evidence = extract_provenance_evidence(Path("input.png"))
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report = identify_from_evidence(evidence)
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```
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If metadata was collected by another component, normalize its nested record
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without reopening the original file:
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```python
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from remove_ai_watermarks.identify import (
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evidence_from_metadata_record,
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identify_from_evidence,
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)
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record = {
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"pil": {"info:parameters": "Steps: 20, Sampler: Euler"},
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"exif": {"0th": {"Software": "Stable Diffusion"}},
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}
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evidence = evidence_from_metadata_record(record, path=Path("input.png"))
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report = identify_from_evidence(evidence)
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```
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The normalizer recursively preserves text and byte values. It also decodes
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strings prefixed with `hex:` and fields named `base64` or ending in
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`_base64`. Pass a C2PA manifest-store dictionary in `record["c2pa_store"]`, or
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through the explicit `c2pa_manifest_store` argument.
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`identify_from_evidence` does not reopen the source file. It evaluates metadata
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only; registered visible marks and pixel-backed invisible watermarks remain in
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the path-based `identify` call.
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@@ -33,7 +33,7 @@ Grok JPEG downloads (Aurora model) carry **no C2PA, no XMP, no SynthID, no IPTC*
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**Stripped on removal too:** `remove_ai_metadata` calls `_scrub_ai_exif` on
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JPEG EXIF, which deletes the xAI Signature and UUID Artist pair plus supported
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AI generator values while retaining unrelated camera and editor EXIF. The
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shared `_is_xai_signature_pair` helper is the single source of truth for the
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shared `xai_signature_pair` helper is the single source of truth for the
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pair. On the ISOBMFF path, `blank_ai_exif_tokens` provides the corresponding
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in-place scrub for supported EXIF values, TC260 AIGC blocks, and the xAI pair.
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- **China TC260 AIGC label (caught by `AIGC_MARKERS` / `metadata.aigc_label`, surfaced by `identify` as the `aigc` signal):** China-served generators embed an XMP `<TC260:AIGC>{"Label":"1","ContentProducer":...}` block — China's mandatory AI-content labeling (TC260 namespace `tc260.org.cn/ns/AIGC`).
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