Pith Number
pith:SJBNME74
pith:2024:SJBNME74VC32PJS5OMYHAEYKUA
not attested
not anchored
not stored
refs pending
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
arxiv:2410.07991 v6 · 2024-10-10 · cs.CL · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SJBNME74VC32PJS5OMYHAEYKUA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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.
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Receipt and verification
| First computed | 2026-07-05T11:20:05.627476Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9242d613fca8b7a7a65d733070130aa02fd1de1e15d4259fe5a8a54d392e77d4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SJBNME74VC32PJS5OMYHAEYKUA \
| 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: 9242d613fca8b7a7a65d733070130aa02fd1de1e15d4259fe5a8a54d392e77d4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c2b487c437e8d8dc0325a27e27f2404f5811d72b8115c9a447ec3449419dd08a",
"cross_cats_sorted": [
"cs.AI",
"cs.HC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-10-10T14:48:57Z",
"title_canon_sha256": "691c28c850dcde17b7512200dc9c90ca3bcbe56493becd26974e842d26706cdb"
},
"schema_version": "1.0",
"source": {
"id": "2410.07991",
"kind": "arxiv",
"version": 6
}
}