Pith Number
pith:NGVAQNJO
pith:2021:NGVAQNJO6DSH57RHBPSLM4ODQM
not attested
not anchored
not stored
refs pending
Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis
arxiv:2103.03732 v1 · 2021-03-05 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NGVAQNJO6DSH57RHBPSLM4ODQM}
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.
Receipt and verification
| First computed | 2026-07-05T02:20:39.362109Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69aa08352ef0e47efe270be4b671c3833d83010786cc31fd1a46a2828f97bb51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NGVAQNJO6DSH57RHBPSLM4ODQM \
| 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: 69aa08352ef0e47efe270be4b671c3833d83010786cc31fd1a46a2828f97bb51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "421e6257807dc0678f3a995e05d95875dab22d8569b9e0acfb7aaf79af593182",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-03-05T15:05:51Z",
"title_canon_sha256": "939bca6f773f158701ded20167a604132459b1edf600be9588cc271c97a237e2"
},
"schema_version": "1.0",
"source": {
"id": "2103.03732",
"kind": "arxiv",
"version": 1
}
}