Pith Number
pith:MKPF3B3A
pith:2025:MKPF3B3AQHIJRZQZTTMTM325DI
not attested
not anchored
not stored
refs pending
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
arxiv:2503.16326 v1 · 2025-03-20 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MKPF3B3AQHIJRZQZTTMTM325DI}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:36:17.094673Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
629e5d876081d098e6199cd9366f5d1a05d85f6ddab164718c6892cade12dab0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MKPF3B3AQHIJRZQZTTMTM325DI \
| 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: 629e5d876081d098e6199cd9366f5d1a05d85f6ddab164718c6892cade12dab0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "842433fc9a7b7a57cede9979b1b3942b3c8e76f315210fbb2cbcddb14a8428e7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-03-20T16:45:48Z",
"title_canon_sha256": "df66f493002f31798f1317e126149ea4e0786fe74b817b7ff3e21a889ab89465"
},
"schema_version": "1.0",
"source": {
"id": "2503.16326",
"kind": "arxiv",
"version": 1
}
}