Pith Number
pith:34UOLXJU
pith:2024:34UOLXJU4KC54DHDR5LJNYKYRG
not attested
not anchored
not stored
refs pending
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
arxiv:2412.14276 v2 · 2024-12-18 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{34UOLXJU4KC54DHDR5LJNYKYRG}
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
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claim
4
Citations
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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 | 2026-07-05T09:52:20.203610Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df28e5dd34e285de0ce38f5696e15889985fc40610d32649517caa62dc9d00b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/34UOLXJU4KC54DHDR5LJNYKYRG \
| 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: df28e5dd34e285de0ce38f5696e15889985fc40610d32649517caa62dc9d00b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "076f9e2378edcc5992f56f329c9cc82a64301ba795dd32cd5d5a7f92964626d9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-18T19:15:17Z",
"title_canon_sha256": "ff56291fa3fe52d25d199bb97ce77e12a94d18127ac15bfe3079c8114fa997a4"
},
"schema_version": "1.0",
"source": {
"id": "2412.14276",
"kind": "arxiv",
"version": 2
}
}