Pith Number
pith:2FQ7P6QQ
pith:2022:2FQ7P6QQM6ESVB36HAGP4GHDGN
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Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines
arxiv:2209.10966 v2 · 2022-09-22 · cs.CL
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\usepackage{pith}
\pithnumber{2FQ7P6QQM6ESVB36HAGP4GHDGN}
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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 | 2026-07-05T05:32:48.383485Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d161f7fa1067892a877e380cfe18e3334e6254f78cc42db3fdf83755d47d5f6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2FQ7P6QQM6ESVB36HAGP4GHDGN \
| 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: d161f7fa1067892a877e380cfe18e3334e6254f78cc42db3fdf83755d47d5f6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "142f7cb41b7a24bf153c1864b9c4b9470abf0dd9842c6c262305173b2f2aa322",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-09-22T12:36:40Z",
"title_canon_sha256": "348e3808c915be7cda592b25347040b93466bc5e5e62a06e70f28336a6af9ae1"
},
"schema_version": "1.0",
"source": {
"id": "2209.10966",
"kind": "arxiv",
"version": 2
}
}