Pith Number
pith:AQQTFHKA
pith:2024:AQQTFHKAPR7ELCBVAU45CX5ROI
not attested
not anchored
not stored
refs pending
Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection
arxiv:2412.20414 v1 · 2024-12-29 · cs.CL · cs.AI · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQQTFHKAPR7ELCBVAU45CX5ROI}
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
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:54:58.882266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0421329d407c7e4588350539d15fb17222c91ff715e5bd79924d19ba2ad22e55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQQTFHKAPR7ELCBVAU45CX5ROI \
| 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: 0421329d407c7e4588350539d15fb17222c91ff715e5bd79924d19ba2ad22e55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7f7131d724ab62e96b7aca8135d41b57b537d1b852d3c05717aa82ba9abf35c",
"cross_cats_sorted": [
"cs.AI",
"cs.IR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-29T09:47:14Z",
"title_canon_sha256": "f7006a7550ce6bdd4a4a3b35351e4ec69e445aca459f56e85978c89743f0e85d"
},
"schema_version": "1.0",
"source": {
"id": "2412.20414",
"kind": "arxiv",
"version": 1
}
}