Pith Number
pith:2GFSHBKZ
pith:2022:2GFSHBKZY2MLRDLE3QEGQWRAFZ
not attested
not anchored
not stored
refs pending
AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm of Multinomial Naive Bayes and Optimized Linear Support Vector Machine
arxiv:2207.11897 v1 · 2022-07-25 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2GFSHBKZY2MLRDLE3QEGQWRAFZ}
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.
Receipt and verification
| First computed | 2026-07-05T04:43:10.943129Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d18b238559c698b88d64dc08685a202e5406a74e9306d7b5645b8163635e2977
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2GFSHBKZY2MLRDLE3QEGQWRAFZ \
| 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: d18b238559c698b88d64dc08685a202e5406a74e9306d7b5645b8163635e2977
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "47906780d2a7f1c410abbdf2aea61302178a679b5bcf775dfc4559115394eefe",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2022-07-25T04:02:02Z",
"title_canon_sha256": "ff1a7c18038169d555693968a09a0afa5b508fa4ae27cf9189f6e04b613eeeb5"
},
"schema_version": "1.0",
"source": {
"id": "2207.11897",
"kind": "arxiv",
"version": 1
}
}