Pith Number
pith:OCMUN5Z3
pith:2024:OCMUN5Z3L6LALROXTCTWL3WLQH
not attested
not anchored
not stored
refs pending
An Investigation of Large Language Models for Real-World Hate Speech Detection
arxiv:2401.03346 v1 · 2024-01-07 · cs.CY · cs.AI · cs.CL · cs.LG · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OCMUN5Z3L6LALROXTCTWL3WLQH}
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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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 | 2026-07-05T07:31:06.655795Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
709946f73b5f9605c5d798a765eecb81d613284e0733b7b38f9d8ecd0a18cb31
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OCMUN5Z3L6LALROXTCTWL3WLQH \
| 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: 709946f73b5f9605c5d798a765eecb81d613284e0733b7b38f9d8ecd0a18cb31
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "005ae04ccafc62b1a98dfd3fbdc9db7ea1eeaa2949c5f2a626517f4325c2495b",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.LG",
"cs.SI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2024-01-07T00:39:33Z",
"title_canon_sha256": "895efe8c1dc337f16581fc2f9ac62762321772028aec811a19d572efdf20e5d8"
},
"schema_version": "1.0",
"source": {
"id": "2401.03346",
"kind": "arxiv",
"version": 1
}
}