Pith Number
pith:NXNZBX2C
pith:2021:NXNZBX2CF6FSMP5MHUCZKL76JP
not attested
not anchored
not stored
refs pending
Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model
arxiv:2102.05708 v1 · 2021-02-09 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NXNZBX2CF6FSMP5MHUCZKL76JP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T02:14:21.591566Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ddb90df422f8b263fac3d05952ffe4bc3a6b905480cba2a60432191fe4160ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NXNZBX2CF6FSMP5MHUCZKL76JP \
| 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: 6ddb90df422f8b263fac3d05952ffe4bc3a6b905480cba2a60432191fe4160ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5100318396a4a5d1e978ea5695b69488b79710ffc5785daeaff7bb708082c3d7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-02-09T04:58:18Z",
"title_canon_sha256": "04e8cbe0df236f3a9d163f45fa721ecbc210a4c7d116ff07ab8cb2b6028b314f"
},
"schema_version": "1.0",
"source": {
"id": "2102.05708",
"kind": "arxiv",
"version": 1
}
}