Pith Number
pith:FJHLW4T3
pith:2024:FJHLW4T3I6TYO27J2SGIMULC23
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A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
arxiv:2401.10279 v1 · 2024-01-12 · cs.IR · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FJHLW4T3I6TYO27J2SGIMULC23}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:35:09.599979Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a4ebb727b47a7876be9d48c865162d6f9a7793383c00d8e26ae76a08df9a389
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FJHLW4T3I6TYO27J2SGIMULC23 \
| 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: 2a4ebb727b47a7876be9d48c865162d6f9a7793383c00d8e26ae76a08df9a389
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eb0d55df3c743b4534044e0eeabc25a80b79e967c25716e1530ba6f17cdac1de",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2024-01-12T12:43:33Z",
"title_canon_sha256": "5bfdc04119045e9a228461648b3677e9697ba40ed544c92c5a444ce50c1f3b90"
},
"schema_version": "1.0",
"source": {
"id": "2401.10279",
"kind": "arxiv",
"version": 1
}
}