Pith Number
pith:NCFMMBWV
pith:2025:NCFMMBWVKZDAXD3T3QF4JD3NQA
not attested
not anchored
not stored
refs pending
STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection
arxiv:2501.15451 v3 · 2025-01-26 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NCFMMBWVKZDAXD3T3QF4JD3NQA}
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
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claim
4
Citations
5
Replications
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:05:39.147429Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
688ac606d556460b8f73dc0bc48f6d801aafb68ab4f49581c1a0e44056b53c4e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NCFMMBWVKZDAXD3T3QF4JD3NQA \
| 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: 688ac606d556460b8f73dc0bc48f6d801aafb68ab4f49581c1a0e44056b53c4e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f6ddf7ce51242cedc80ea537954d46450442c212bbd9d012ef1da287f535e26",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-26T08:45:37Z",
"title_canon_sha256": "88a2ce106200145b857f915bd5f8c05e4d0348966fc03910d5c65d7d4bc57c2a"
},
"schema_version": "1.0",
"source": {
"id": "2501.15451",
"kind": "arxiv",
"version": 3
}
}