Pith Number
pith:7HH5KRNN
pith:2025:7HH5KRNN5R7DPFSIPMWROYU6BM
not attested
not anchored
not stored
refs pending
Specializing General-purpose LLM Embeddings for Implicit Hate Speech Detection across Datasets
arxiv:2508.20750 v1 · 2025-08-28 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HH5KRNN5R7DPFSIPMWROYU6BM}
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.
Receipt and verification
| First computed | 2026-07-05T12:01:10.156961Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9cfd545adec7e3796487b2d17629e0b0bd5b15271d8329b404e1460789f500d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HH5KRNN5R7DPFSIPMWROYU6BM \
| 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: f9cfd545adec7e3796487b2d17629e0b0bd5b15271d8329b404e1460789f500d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3b1176864d4c2bf1e4a3d07b05b92ad20c198decad065e4febdaae90dc60e976",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-28T13:08:57Z",
"title_canon_sha256": "c14ef42622586333f41386dec7c5480b2b3466c714f7321cc710fd625564ba96"
},
"schema_version": "1.0",
"source": {
"id": "2508.20750",
"kind": "arxiv",
"version": 1
}
}