Pith Number
pith:VQNB6G3C
pith:2026:VQNB6G3CA52VHIAT3IGUCMCANA
not attested
not anchored
not stored
refs pending
BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi
arxiv:2607.23344 v1 · 2026-07-25 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VQNB6G3CA52VHIAT3IGUCMCANA}
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 | 2026-07-28T01:22:48.549246Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac1a1f1b62077553a013da0d413040681b822fd4ffcfd721ac807ea6660840c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQNB6G3CA52VHIAT3IGUCMCANA \
| 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: ac1a1f1b62077553a013da0d413040681b822fd4ffcfd721ac807ea6660840c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28765663960747f8a79ffceb74bf0c533a64f52d967ce5076f99818d40be2645",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-07-25T19:40:58Z",
"title_canon_sha256": "b29eb4dc45026bfca7edc6ec56a4579c0ccd1328ffa8f291d80df3c2133bd339"
},
"schema_version": "1.0",
"source": {
"id": "2607.23344",
"kind": "arxiv",
"version": 1
}
}