Pith Number
pith:6VOMHDAT
pith:2025:6VOMHDATDD63FE4DW2NH6RERYS
not attested
not anchored
not stored
refs pending
Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning
arxiv:2507.23661 v1 · 2025-07-31 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6VOMHDATDD63FE4DW2NH6RERYS}
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.
Receipt and verification
| First computed | 2026-07-05T11:46:29.006490Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f55cc38c1318fdb29383b69a7f4491c4b94458df77c257c6031e31ed9d10fa98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6VOMHDATDD63FE4DW2NH6RERYS \
| 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: f55cc38c1318fdb29383b69a7f4491c4b94458df77c257c6031e31ed9d10fa98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "efda642e301c5d56c125ad75779f366be891fdcc0c8c2d382aa5345bb39db920",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-07-31T15:39:46Z",
"title_canon_sha256": "c46f2e9ed5a14c5ab1be9f8458593568e06c0f29b59cbfd489f51a014727e468"
},
"schema_version": "1.0",
"source": {
"id": "2507.23661",
"kind": "arxiv",
"version": 1
}
}