pith:4RKB5CXX
DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection
DetectRL-X is a new benchmark that tests how reliably current detectors identify LLM-generated text across eight languages and real-world modifications.
arxiv:2605.15518 v1 · 2026-05-15 · cs.CL
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\pithnumber{4RKB5CXX4MUHIER6UPLK6FS5GW}
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Record completeness
Claims
Experimental results on DetectRL-X reveal the strengths and limitations of current state-of-the-art detectors when applied to diverse linguistic resources.
The chosen 8 languages, 6 domains, 4 commercial LLMs, and specific paraphrasing/perturbation attacks sufficiently represent authentic multilingual real-world LLM usage patterns and modifications.
DetectRL-X is a multilingual benchmark for LLM-generated text detection that covers 8 languages, 6 misuse-prone domains, 4 commercial LLMs, and human-like editing operations plus attack strategies.
References
Formal links
Receipt and verification
| First computed | 2026-05-20T00:01:02.851502Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4541e8af7e32874123ea3d6af165d35a20b703d8d400bcadb45254227ec3ad4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4RKB5CXX4MUHIER6UPLK6FS5GW \
| 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: e4541e8af7e32874123ea3d6af165d35a20b703d8d400bcadb45254227ec3ad4
Canonical record JSON
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