Pith Number
pith:UAXPJ7Y7
pith:2025:UAXPJ7Y7LXJRDXZITC65PWQR4S
not attested
not anchored
not stored
refs pending
Moderating Harm: Benchmarking Large Language Models for Cyberbullying Detection in YouTube Comments
arxiv:2505.18927 v3 · 2025-05-25 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UAXPJ7Y7LXJRDXZITC65PWQR4S}
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
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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 | 2026-07-05T11:13:26.651848Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a02ef4ff1f5dd311df2898bdd7da11e4876d65cc62849cd27882c5f215e5cb36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UAXPJ7Y7LXJRDXZITC65PWQR4S \
| 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: a02ef4ff1f5dd311df2898bdd7da11e4876d65cc62849cd27882c5f215e5cb36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aab0c67850a1bd4046513d9ad0fe071d252d4c37927a2a92bdf5a44a7ca3d919",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-25T01:28:30Z",
"title_canon_sha256": "7d472aa57b02c15a99329e61cb49da99a41d14d643298b1616a2773d63aa7485"
},
"schema_version": "1.0",
"source": {
"id": "2505.18927",
"kind": "arxiv",
"version": 3
}
}