pith. sign in
Pith Number

pith:4RKB5CXX

pith:2026:4RKB5CXX4MUHIER6UPLK6FS5GW
not attested not anchored not stored refs resolved

DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection

Chenyu Zhu, Derek F. Wong, Hao Zhang, Jinsong Su, Junchao Wu, Longyue Wang, Tianqi Shi, Weihua Luo, Yefeng Liu, Yichao Du, Zeyu Wu

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

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4RKB5CXX4MUHIER6UPLK6FS5GW}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experimental results on DetectRL-X reveal the strengths and limitations of current state-of-the-art detectors when applied to diverse linguistic resources.

C2weakest assumption

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.

C3one line summary

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

3 extracted · 3 resolved · 3 Pith anchors

[1] RoBERTa: A Robustly Optimized BERT Pretraining Approach 2024 · arXiv:1907.11692
[2] Release Strategies and the Social Impacts of Language Models 2016 · arXiv:1908.09203
[3] Qwen2.5 Technical Report 2023 · arXiv:2412.15115

Formal links

2 machine-checked theorem 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

arxiv: 2605.15518 · arxiv_version: 2605.15518v1 · doi: 10.48550/arxiv.2605.15518 · pith_short_12: 4RKB5CXX4MUH · pith_short_16: 4RKB5CXX4MUHIER6 · pith_short_8: 4RKB5CXX
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
{
  "metadata": {
    "abstract_canon_sha256": "2aabb1cc493a447b9f49e9a11f2f4cf55653cd0b79c38780859b9ca0d9280462",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-15T01:29:26Z",
    "title_canon_sha256": "2476c187356a472338c48df1838902bcb79c5230699995dd51de29b7373c4b08"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15518",
    "kind": "arxiv",
    "version": 1
  }
}