Pith Number
pith:OKLKLP4O
pith:2019:OKLKLP4OTCS5H56P4H3A36W6BT
not attested
not anchored
not stored
refs pending
Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model
arxiv:1911.03648 v1 · 2019-11-09 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OKLKLP4OTCS5H56P4H3A36W6BT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:18:14.664404Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7296a5bf8e98a5d3f7cfe1f60dfade0cd24268603d70f24eb648163ed22140b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OKLKLP4OTCS5H56P4H3A36W6BT \
| 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: 7296a5bf8e98a5d3f7cfe1f60dfade0cd24268603d70f24eb648163ed22140b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ccd6a6f7b647d4b5b97b06c54e1afef6e7efd76cfedbf92534e1f306b7c1ea7",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-11-09T09:33:42Z",
"title_canon_sha256": "d4b5c83ab3e42011d8aea93fbbe86e30780970fd3c8e73f160cc2b2dadb12cb2"
},
"schema_version": "1.0",
"source": {
"id": "1911.03648",
"kind": "arxiv",
"version": 1
}
}