pith:PKJJ5XOU
C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts
The C-ReD benchmark uses real-world prompts to achieve reliable Chinese AI-text detection and generalization to unseen LLMs and external datasets.
arxiv:2604.11796 v2 · 2026-04-13 · cs.CL · cs.AI
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\pithnumber{PKJJ5XOU5PMORR2U6CB3FOO7NZ}
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Record completeness
Claims
C-ReD not only enables reliable in-domain detection but also supports strong generalization to unseen LLMs and external Chinese datasets-addressing critical gaps in model diversity, domain coverage, and prompt realism that have limited prior Chinese detection benchmarks.
That the chosen real-world prompts and set of LLMs are sufficiently representative to guarantee generalization to truly unseen models and external datasets.
C-ReD is a Chinese AI-text detection benchmark built from diverse real-world prompts and multiple LLMs that shows strong in-domain performance and generalization to unseen models and external datasets.
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Receipt and verification
| First computed | 2026-05-20T01:05:13.146534Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7a929eddd4ebd8e8c754f083b2b9df6e7d461ddb1060c292a6db109af827fe08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PKJJ5XOU5PMORR2U6CB3FOO7NZ \
| 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: 7a929eddd4ebd8e8c754f083b2b9df6e7d461ddb1060c292a6db109af827fe08
Canonical record JSON
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