Pith Number
pith:WAWUOWHL
pith:2018:WAWUOWHLV3YG3CYZOVAWKC73V6
not attested
not anchored
not stored
refs pending
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
arxiv:1801.06482 v1 · 2018-01-19 · cs.IR · cs.CL · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WAWUOWHLV3YG3CYZOVAWKC73V6}
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
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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 | 2026-05-18T00:25:29.915169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b02d4758ebaef06d8b197541650bfbaf8ae3cf1c6e9d8f62c99e1a4e08280621
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WAWUOWHLV3YG3CYZOVAWKC73V6 \
| 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: b02d4758ebaef06d8b197541650bfbaf8ae3cf1c6e9d8f62c99e1a4e08280621
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca84d431c0e5103bb7f02133be219b12fb8814d1c73128b75f23984175d76616",
"cross_cats_sorted": [
"cs.CL",
"cs.SI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2018-01-19T16:27:36Z",
"title_canon_sha256": "770fb1b5a26deb0adcbbd3058a29c7c7977d26a4ae732aed8f4884515d07ade5"
},
"schema_version": "1.0",
"source": {
"id": "1801.06482",
"kind": "arxiv",
"version": 1
}
}