Pith Number
pith:FYDQ76R4
pith:2024:FYDQ76R4OYGQCY4TMC7CUQXIHZ
not attested
not anchored
not stored
refs pending
HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models
arxiv:2405.01577 v1 · 2024-04-26 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FYDQ76R4OYGQCY4TMC7CUQXIHZ}
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 | 2026-07-05T08:14:58.280534Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e070ffa3c760d01639360be2a42e83e7931015990dba203c4882579534136a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FYDQ76R4OYGQCY4TMC7CUQXIHZ \
| 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: 2e070ffa3c760d01639360be2a42e83e7931015990dba203c4882579534136a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "385ae5e3982d91872a94b2cbf5db601e42c7b85a2b107a0257264842921d8596",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-04-26T05:29:35Z",
"title_canon_sha256": "c80261499d59550d7602c4f829d822edbd707ccd5b2ded10fc8fc4d812c88f4c"
},
"schema_version": "1.0",
"source": {
"id": "2405.01577",
"kind": "arxiv",
"version": 1
}
}