pith:WNBYGJBU
Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
AI content watermarking produces unequal detection rates across languages, cultures, and demographic groups because its signals depend on varying content statistics.
arxiv:2604.13776 v2 · 2026-04-15 · cs.CY · cs.CL · cs.CR · cs.CV
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\usepackage{pith}
\pithnumber{WNBYGJBUT3JPCDEXJ3CMRWYMEB}
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Record completeness
Claims
watermarking is held to a lower fairness standard than the generative systems it is meant to govern.
That watermark signal strength, detectability, and robustness depend on statistical properties of the content that vary systematically across languages, cultural visual traditions, and demographic groups.
AI content watermarking exhibits detection disparities across languages, cultures, and demographics due to content-dependent signal properties, with benchmarks failing to disaggregate performance and watermarking held to lower fairness standards than generative models.
Receipt and verification
| First computed | 2026-06-10T01:10:01.229689Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b3438324349ed2f10c974ec4c8db0c20704b236fc50b07fc9d62561912e448d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WNBYGJBUT3JPCDEXJ3CMRWYMEB \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b3438324349ed2f10c974ec4c8db0c20704b236fc50b07fc9d62561912e448d1
Canonical record JSON
{
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],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2026-04-15T12:06:56Z",
"title_canon_sha256": "41300afebdc0a807e60223483926e1ffe1065b8f768a371426c3d6a3bc5d6b99"
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"source": {
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"kind": "arxiv",
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