Pith Number
pith:AQTXE5PW
pith:2021:AQTXE5PWAVVZ5TE7S6H7UX6RVV
not attested
not anchored
not stored
refs pending
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection
arxiv:2101.05509 v3 · 2021-01-14 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQTXE5PWAVVZ5TE7S6H7UX6RVV}
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 | 2026-07-05T05:40:29.603266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
04277275f6056b9ecc9f978ffa5fd1ad78b08fe7b2944c28ee9a327df3af9067
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQTXE5PWAVVZ5TE7S6H7UX6RVV \
| 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: 04277275f6056b9ecc9f978ffa5fd1ad78b08fe7b2944c28ee9a327df3af9067
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5bfbf74d3e5f93e5a3705826e453405afe208879efdeabcd5522887916645cd9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-01-14T09:05:42Z",
"title_canon_sha256": "fe6d8db952d382a60a061c59d49e8d133bc2f9e2967b3f6069a2fe8f496039c1"
},
"schema_version": "1.0",
"source": {
"id": "2101.05509",
"kind": "arxiv",
"version": 3
}
}